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pmid:31998366

Identification of Platform-Independent Diagnostic Biomarker Panel for Hepatocellular Carcinoma Using Large-Scale Transcriptomics Data.

Harpreet Kaur · Anjali Dhall · Rajesh Kumar · Gajendra P S Raghava

Frontiers in genetics · 2019 doi:10.3389/fgene.2019.01306

Abstract

The high mortality rate of hepatocellular carcinoma (HCC) is primarily due to its late diagnosis. In the past, numerous attempts have been made to design genetic biomarkers for the identification of HCC; unfortunately, most of the studies are based on small datasets obtained from a specific platform or lack reasonable validation performance on the external datasets. In order to identify a universal expression-based diagnostic biomarker panel for HCC that can be applicable across multiple platforms, we have employed large-scale transcriptomic profiling datasets containing a total of 2,316 HCC and 1,665 non-tumorous tissue samples. These samples were obtained from 30 studies generated by mainly four types of profiling techniques (Affymetrix, Illumina, Agilent, and High-throughput sequencing), which are implemented in a wide range of platforms. Firstly, we scrutinized overlapping 26 genes that are differentially expressed in numerous datasets. Subsequently, we identified a panel of three genes (FCN3, CLEC1B, and PRC1) as HCC biomarker using different feature selection techniques. Three-genes-based HCC biomarker identified HCC samples in training/validation datasets with an accuracy between 93 and 98%, Area Under Receiver Operating Characteristic curve (AUROC) in a range of 0.97 to 1.0. A reasonable performance, i.e., AUROC 0.91-0.96 achieved on validation dataset containing peripheral blood mononuclear cells, concurred their non-invasive utility. Furthermore, the prognostic potential of these genes was evaluated on TCGA-LIHC and GSE14520 cohorts using univariate survival analysis. This analysis revealed that these genes are prognostic indicators for various types of the survivals of HCC patients (e.g., Overall Survival, Progression-Free Survival, Disease-Free Survival). These genes significantly stratified high-risk and low-risk HCC patients (p-value <0.05). In conclusion, we identified a universal platform-independent three-genes-based biomarker that can predict HCC patients with high precision and also possess significant prognostic potential. Eventually, we developed a web server HCCpred based on the above study to facilitate scientific community (http://webs.iiitd.edu.in/raghava/hccpred/).

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Handoff: revision 8 · sha256:8207f1b9b7c2754235b0e7c7a6023077a4d097e36ce926cc60c20cc10626180b

Five-stage experiment

  1. 1 data generation Definition microarray · partial
  2. 2 welch t Definition group_comparison · supported

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Paper

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Data

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Analysis

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Execution

absent

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Identification of Platform-Independent Diagnostic Biomarker Panel for Hepatocellular Carcinoma Using Large-Scale Transcriptomics Data.
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10.3389/fgene.2019.01306
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Harpreet Kaur
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Anjali Dhall
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Rajesh Kumar
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Gajendra P S Raghava
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The high mortality rate of hepatocellular carcinoma (HCC) is primarily due to its late diagnosis. In the past, numerous attempts have been made to design genetic biomarkers for the identification of HCC; unfortunately, most of the studies are based on small datasets obtained from a specific platform or lack reasonable validation performance on the external datasets. In order to identify a universal expression-based diagnostic biomarker panel for HCC that can be applicable across multiple platforms, we have employed large-scale transcriptomic profiling datasets containing a total of 2,316 HCC and 1,665 non-tumorous tissue samples. These samples were obtained from 30 studies generated by mainly four types of profiling techniques (Affymetrix, Illumina, Agilent, and High-throughput sequencing), which are implemented in a wide range of platforms. Firstly, we scrutinized overlapping 26 genes that are differentially expressed in numerous datasets. Subsequently, we identified a panel of three genes (FCN3, CLEC1B, and PRC1) as HCC biomarker using different feature selection techniques. Three-genes-based HCC biomarker identified HCC samples in training/validation datasets with an accuracy between 93 and 98%, Area Under Receiver Operating Characteristic curve (AUROC) in a range of 0.97 to 1.0. A reasonable performance, i.e., AUROC 0.91-0.96 achieved on validation dataset containing peripheral blood mononuclear cells, concurred their non-invasive utility. Furthermore, the prognostic potential of these genes was evaluated on TCGA-LIHC and GSE14520 cohorts using univariate survival analysis. This analysis revealed that these genes are prognostic indicators for various types of the survivals of HCC patients (e.g., Overall Survival, Progression-Free Survival, Disease-Free Survival). These genes significantly stratified high-risk and low-risk HCC patients (p-value <0.05). In conclusion, we identified a universal platform-independent three-genes-based biomarker that can predict HCC patients with high precision and also possess significant prognostic potential. Eventually, we developed a web server HCCpred based on the above study to facilitate scientific community (http://webs.iiitd.edu.in/raghava/hccpred/).
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GSM1329444
[124]
GSM1329445
[125]
GSM1329446
[126]
GSM1329447
[127]
GSM1329448
[128]
GSM1329449
[129]
GSM1329450
[130]
GSM1329451
[131]
GSM1329452
[132]
GSM1329453
[133]
GSM1329454
[134]
GSM1329455
[135]
GSM1329456
[136]
GSM1329457
[137]
GSM1329458
[138]
GSM1329459
[139]
GSM1329460
[140]
GSM2593011
[141]
GSM2593012
[142]
GSM2593013
[143]
GSM2593014
[144]
GSM2593015
[145]
GSM2593016
[146]
GSM2593017
[147]
GSM2593018
[148]
GSM2593019
[149]
GSM2593020
[150]
GSM2593021
[151]
GSM2593022
[152]
GSM2593023
[153]
GSM2593024
[154]
GSM2593025
[155]
GSM2593026
[156]
GSM2593027
[157]
GSM2593028
[158]
GSM2593029
[159]
GSM2593030
[160]
GSM2593031
[161]
GSM2593032
[162]
GSM2593033
[163]
GSM2593034
[164]
GSM2593035
[165]
GSM2593036
[166]
GSM2593037
[167]
GSM2593038
[168]
GSM2593039
[169]
GSM2593040
[170]
GSM2593041
[171]
GSM2593042
[172]
GSM2593043
[173]
GSM2593044
[174]
GSM2593045
[175]
GSM2593046
[176]
GSM2593047
[177]
GSM2593048
[178]
GSM2593049
[179]
GSM2593050
[180]
GSM2593051
[181]
GSM2593052
[182]
GSM2593053
[183]
GSM2593054
[184]
GSM2593055
[185]
GSM2593056
[186]
GSM2593057
[187]
GSM2593058
[188]
GSM2593059
[189]
GSM2593060
[190]
GSM2593061
[191]
GSM2593062
[192]
GSM2593063
[193]
GSM2593064
[194]
GSM2593065
[195]
GSM2593066
[196]
GSM2593067
[197]
GSM2593068
[198]
GSM2593069
[199]
GSM2593070
[200]
GSM2593071
[201]
GSM2593072
[202]
GSM2593073
[203]
GSM2593074
[204]
GSM2593075
[205]
GSM2593076
[206]
GSM2593077
[207]
GSM2593078
[208]
GSM2593079
[209]
GSM2593080
[210]
GSM2593081
[211]
GSM2593082
[212]
GSM2593083
[213]
GSM2593084
[214]
GSM2862021
[215]
GSM2862022
[216]
GSM2862023
[217]
GSM2862024
[218]
GSM2862025
[219]
GSM2862026
[220]
GSM2862027
[221]
GSM2862028
[222]
GSM2862029
[223]
GSM2862030
[224]
GSM2862031
[225]
GSM2862032
[226]
GSM2862033
[227]
GSM2862034
[228]
GSM2862035
[229]
GSM2862036
[230]
GSM2862037
[231]
GSM2862038
[232]
GSM2862039
[233]
GSM2862040
[234]
GSM2862041
[235]
GSM2862042
[236]
GSM2862043
[237]
GSM2862044
[238]
GSM2862045
[239]
GSM2862046
[240]
GSM2862047
[241]
GSM2862048
[242]
GSM2862049
[243]
GSM2862050
[244]
GSM2862051
[245]
GSM2862052
[246]
GSM2862053
[247]
GSM2862054
[248]
GSM2862055
[249]
GSM2862056
[250]
GSM2862057
[251]
GSM2862058
[252]
GSM2862059
[253]
GSM2862060
[254]
GSM2862061
[255]
GSM2862062
[256]
GSM2862063
[257]
GSM2862064
[258]
GSM2862065
[259]
GSM2862066
[260]
GSM2862067
[261]
GSM2862068
[262]
GSM2862069
[263]
GSM2862070
[264]
GSM2862071
[265]
GSM2862072
[266]
GSM2862073
[267]
GSM2862074
[268]
GSM2862075
[269]
GSM2862076
[270]
GSM2862077
[271]
GSM2862078
[272]
GSM2862079
[273]
GSM2862080
[274]
GSM2862081
[275]
GSM2862082
[276]
GSM2862083
[277]
GSM2862084
[278]
GSM2862085
[279]
GSM2862086
[280]
GSM2862087
[281]
GSM2862088
[282]
GSM2862089
[283]
GSM2862090
[284]
GSM2862091
[285]
GSM2862092
[286]
GSM2862093
[287]
GSM2862094
[288]
GSM2862095
[289]
GSM2862096
[290]
GSM2862097
[291]
GSM2862098
[292]
GSM2862099
[293]
GSM2862100
[294]
GSM2862101
[295]
GSM2862102
[296]
GSM2862103
[297]
GSM2862104
[298]
GSM2862105
[299]
GSM2862106
[300]
GSM2862107
[301]
GSM2862108
[302]
GSM2862109
[303]
GSM2862110
[304]
GSM2862111
[305]
GSM2862112
[306]
GSM2862113
sample_count
307
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Molecular Signature of Hepatitis D Virus-Associated Hepatocellular Carcinoma
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[3] object · 15 fields
id
data:geo:GSE14323
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14323
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE14323
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 124 items
[0]
GSM358103
[1]
GSM358104
[2]
GSM358105
[3]
GSM358106
[4]
GSM358107
[5]
GSM358108
[6]
GSM358109
[7]
GSM358110
[8]
GSM358111
[9]
GSM358112
[10]
GSM358113
[11]
GSM358114
[12]
GSM358115
[13]
GSM358116
[14]
GSM358117
[15]
GSM358118
[16]
GSM358119
[17]
GSM358120
[18]
GSM358121
[19]
GSM358122
[20]
GSM358123
[21]
GSM358124
[22]
GSM358125
[23]
GSM358126
[24]
GSM358127
[25]
GSM358128
[26]
GSM358129
[27]
GSM358130
[28]
GSM358131
[29]
GSM358132
[30]
GSM358133
[31]
GSM358134
[32]
GSM358135
[33]
GSM358136
[34]
GSM358137
[35]
GSM358138
[36]
GSM358139
[37]
GSM358140
[38]
GSM358141
[39]
GSM358142
[40]
GSM358143
[41]
GSM358144
[42]
GSM358145
[43]
GSM358146
[44]
GSM358147
[45]
GSM358148
[46]
GSM358149
[47]
GSM358151
[48]
GSM358152
[49]
GSM358153
[50]
GSM358154
[51]
GSM358155
[52]
GSM358156
[53]
GSM358157
[54]
GSM358158
[55]
GSM358159
[56]
GSM358160
[57]
GSM358161
[58]
GSM358162
[59]
GSM358163
[60]
GSM358164
[61]
GSM358165
[62]
GSM358166
[63]
GSM358167
[64]
GSM358168
[65]
GSM358169
[66]
GSM358170
[67]
GSM358171
[68]
GSM358172
[69]
GSM358173
[70]
GSM358174
[71]
GSM358175
[72]
GSM358176
[73]
GSM358177
[74]
GSM358178
[75]
GSM358179
[76]
GSM358180
[77]
GSM358181
[78]
GSM358182
[79]
GSM358183
[80]
GSM358184
[81]
GSM358185
[82]
GSM358186
[83]
GSM358187
[84]
GSM358188
[85]
GSM358189
[86]
GSM358190
[87]
GSM358191
[88]
GSM358192
[89]
GSM358193
[90]
GSM358194
[91]
GSM358195
[92]
GSM358196
[93]
GSM358197
[94]
GSM358198
[95]
GSM358199
[96]
GSM358200
[97]
GSM358201
[98]
GSM358202
[99]
GSM358203
[100]
GSM358204
[101]
GSM358205
[102]
GSM358206
[103]
GSM358207
[104]
GSM358208
[105]
GSM358209
[106]
GSM358210
[107]
GSM358211
[108]
GSM358212
[109]
GSM358213
[110]
GSM358214
[111]
GSM358215
[112]
GSM358216
[113]
GSM358217
[114]
GSM358218
[115]
GSM358219
[116]
GSM358220
[117]
GSM358221
[118]
GSM358222
[119]
GSM358223
[120]
GSM358224
[121]
GSM358225
[122]
GSM358226
[123]
GSM358227
sample_count
124
group_sizes
null
group_sizes_basis
null
platform
571;96
taxon
Homo sapiens
title
RMA expression data for liver samples from subjects with HCV, HCV-HCC, or normal liver
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[4] object · 15 fields
id
data:geo:GSE14520
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14520
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE14520
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 488 items
[0]
GSM362947
[1]
GSM362948
[2]
GSM362949
[3]
GSM362950
[4]
GSM362951
[5]
GSM362952
[6]
GSM362953
[7]
GSM362954
[8]
GSM362955
[9]
GSM362956
[10]
GSM362957
[11]
GSM362958
[12]
GSM362959
[13]
GSM362960
[14]
GSM362961
[15]
GSM362962
[16]
GSM362963
[17]
GSM362964
[18]
GSM362965
[19]
GSM362966
[20]
GSM362967
[21]
GSM362968
[22]
GSM362969
[23]
GSM362970
[24]
GSM362971
[25]
GSM362972
[26]
GSM362973
[27]
GSM362974
[28]
GSM362975
[29]
GSM362976
[30]
GSM362977
[31]
GSM362978
[32]
GSM362979
[33]
GSM362980
[34]
GSM362981
[35]
GSM362982
[36]
GSM362983
[37]
GSM362984
[38]
GSM362985
[39]
GSM362986
[40]
GSM362987
[41]
GSM362988
[42]
GSM362989
[43]
GSM362990
[44]
GSM362991
[45]
GSM362992
[46]
GSM362993
[47]
GSM362994
[48]
GSM362995
[49]
GSM362996
[50]
GSM362997
[51]
GSM362998
[52]
GSM362999
[53]
GSM363000
[54]
GSM363001
[55]
GSM363002
[56]
GSM363003
[57]
GSM363004
[58]
GSM363005
[59]
GSM363006
[60]
GSM363007
[61]
GSM363008
[62]
GSM363009
[63]
GSM363010
[64]
GSM363011
[65]
GSM363012
[66]
GSM363013
[67]
GSM363014
[68]
GSM363015
[69]
GSM363016
[70]
GSM363017
[71]
GSM363018
[72]
GSM363019
[73]
GSM363020
[74]
GSM363021
[75]
GSM363022
[76]
GSM363023
[77]
GSM363024
[78]
GSM363025
[79]
GSM363026
[80]
GSM363027
[81]
GSM363028
[82]
GSM363029
[83]
GSM363030
[84]
GSM363031
[85]
GSM363032
[86]
GSM363033
[87]
GSM363034
[88]
GSM363035
[89]
GSM363036
[90]
GSM363037
[91]
GSM363038
[92]
GSM363039
[93]
GSM363040
[94]
GSM363041
[95]
GSM363042
[96]
GSM363043
[97]
GSM363044
[98]
GSM363045
[99]
GSM363046
[100]
GSM363047
[101]
GSM363048
[102]
GSM363049
[103]
GSM363050
[104]
GSM363051
[105]
GSM363052
[106]
GSM363053
[107]
GSM363054
[108]
GSM363055
[109]
GSM363056
[110]
GSM363057
[111]
GSM363058
[112]
GSM363059
[113]
GSM363060
[114]
GSM363061
[115]
GSM363062
[116]
GSM363063
[117]
GSM363064
[118]
GSM363065
[119]
GSM363066
[120]
GSM363067
[121]
GSM363068
[122]
GSM363069
[123]
GSM363070
[124]
GSM363071
[125]
GSM363072
[126]
GSM363073
[127]
GSM363074
[128]
GSM363075
[129]
GSM363076
[130]
GSM363077
[131]
GSM363078
[132]
GSM363079
[133]
GSM363080
[134]
GSM363081
[135]
GSM363082
[136]
GSM363083
[137]
GSM363084
[138]
GSM363085
[139]
GSM363086
[140]
GSM363087
[141]
GSM363088
[142]
GSM363089
[143]
GSM363090
[144]
GSM363091
[145]
GSM363092
[146]
GSM363093
[147]
GSM363094
[148]
GSM363095
[149]
GSM363096
[150]
GSM363097
[151]
GSM363098
[152]
GSM363099
[153]
GSM363100
[154]
GSM363101
[155]
GSM363102
[156]
GSM363103
[157]
GSM363104
[158]
GSM363105
[159]
GSM363106
[160]
GSM363107
[161]
GSM363108
[162]
GSM363109
[163]
GSM363110
[164]
GSM363111
[165]
GSM363112
[166]
GSM363113
[167]
GSM363114
[168]
GSM363115
[169]
GSM363116
[170]
GSM363117
[171]
GSM363118
[172]
GSM363119
[173]
GSM363120
[174]
GSM363121
[175]
GSM363122
[176]
GSM363123
[177]
GSM363124
[178]
GSM363125
[179]
GSM363126
[180]
GSM363127
[181]
GSM363128
[182]
GSM363129
[183]
GSM363130
[184]
GSM363131
[185]
GSM363132
[186]
GSM363133
[187]
GSM363134
[188]
GSM363135
[189]
GSM363136
[190]
GSM363137
[191]
GSM363138
[192]
GSM363139
[193]
GSM363140
[194]
GSM363141
[195]
GSM363142
[196]
GSM363143
[197]
GSM363144
[198]
GSM363145
[199]
GSM363146
[200]
GSM363147
[201]
GSM363148
[202]
GSM363149
[203]
GSM363150
[204]
GSM363151
[205]
GSM363152
[206]
GSM363153
[207]
GSM363154
[208]
GSM363155
[209]
GSM363156
[210]
GSM363157
[211]
GSM363158
[212]
GSM363159
[213]
GSM363160
[214]
GSM363161
[215]
GSM363162
[216]
GSM363163
[217]
GSM363164
[218]
GSM363165
[219]
GSM363166
[220]
GSM363167
[221]
GSM363168
[222]
GSM363169
[223]
GSM363170
[224]
GSM363171
[225]
GSM363172
[226]
GSM363173
[227]
GSM363174
[228]
GSM363175
[229]
GSM363176
[230]
GSM363177
[231]
GSM363178
[232]
GSM363179
[233]
GSM363180
[234]
GSM363181
[235]
GSM363182
[236]
GSM363183
[237]
GSM363184
[238]
GSM363185
[239]
GSM363186
[240]
GSM363187
[241]
GSM363188
[242]
GSM363189
[243]
GSM363190
[244]
GSM363191
[245]
GSM363192
[246]
GSM363193
[247]
GSM363194
[248]
GSM363195
[249]
GSM363196
[250]
GSM363197
[251]
GSM363198
[252]
GSM363199
[253]
GSM363200
[254]
GSM363201
[255]
GSM363202
[256]
GSM363203
[257]
GSM363204
[258]
GSM363205
[259]
GSM363206
[260]
GSM363207
[261]
GSM363208
[262]
GSM363209
[263]
GSM363210
[264]
GSM363211
[265]
GSM363212
[266]
GSM363213
[267]
GSM363214
[268]
GSM363215
[269]
GSM363216
[270]
GSM363217
[271]
GSM363218
[272]
GSM363219
[273]
GSM363220
[274]
GSM363221
[275]
GSM363222
[276]
GSM363223
[277]
GSM363224
[278]
GSM363225
[279]
GSM363226
[280]
GSM363227
[281]
GSM363228
[282]
GSM363229
[283]
GSM363230
[284]
GSM363231
[285]
GSM363232
[286]
GSM363233
[287]
GSM363234
[288]
GSM363235
[289]
GSM363236
[290]
GSM363237
[291]
GSM363238
[292]
GSM363239
[293]
GSM363240
[294]
GSM363241
[295]
GSM363242
[296]
GSM363243
[297]
GSM363244
[298]
GSM363245
[299]
GSM363246
[300]
GSM363247
[301]
GSM363248
[302]
GSM363249
[303]
GSM363250
[304]
GSM363251
[305]
GSM363252
[306]
GSM363253
[307]
GSM363254
[308]
GSM363255
[309]
GSM363256
[310]
GSM363257
[311]
GSM363258
[312]
GSM363259
[313]
GSM363260
[314]
GSM363261
[315]
GSM363262
[316]
GSM363263
[317]
GSM363264
[318]
GSM363265
[319]
GSM363266
[320]
GSM363267
[321]
GSM363268
[322]
GSM363269
[323]
GSM363270
[324]
GSM363271
[325]
GSM363272
[326]
GSM363273
[327]
GSM363274
[328]
GSM363275
[329]
GSM363276
[330]
GSM363277
[331]
GSM363278
[332]
GSM363279
[333]
GSM363280
[334]
GSM363281
[335]
GSM363282
[336]
GSM363283
[337]
GSM363284
[338]
GSM363285
[339]
GSM363286
[340]
GSM363287
[341]
GSM363288
[342]
GSM363289
[343]
GSM363290
[344]
GSM363291
[345]
GSM363292
[346]
GSM363293
[347]
GSM363294
[348]
GSM363295
[349]
GSM363296
[350]
GSM363297
[351]
GSM363298
[352]
GSM363299
[353]
GSM363300
[354]
GSM363301
[355]
GSM363302
[356]
GSM363303
[357]
GSM363304
[358]
GSM363305
[359]
GSM363306
[360]
GSM363307
[361]
GSM363308
[362]
GSM363309
[363]
GSM363310
[364]
GSM363311
[365]
GSM363312
[366]
GSM363313
[367]
GSM363314
[368]
GSM363315
[369]
GSM363316
[370]
GSM363317
[371]
GSM363318
[372]
GSM363319
[373]
GSM363320
[374]
GSM363321
[375]
GSM363322
[376]
GSM363323
[377]
GSM363324
[378]
GSM363325
[379]
GSM363326
[380]
GSM363327
[381]
GSM363328
[382]
GSM363329
[383]
GSM363330
[384]
GSM363331
[385]
GSM363332
[386]
GSM363333
[387]
GSM363334
[388]
GSM363335
[389]
GSM363336
[390]
GSM363337
[391]
GSM363338
[392]
GSM363339
[393]
GSM363340
[394]
GSM363341
[395]
GSM363342
[396]
GSM363343
[397]
GSM363344
[398]
GSM363345
[399]
GSM363346
[400]
GSM363347
[401]
GSM363348
[402]
GSM363349
[403]
GSM363350
[404]
GSM363351
[405]
GSM363352
[406]
GSM363353
[407]
GSM363354
[408]
GSM363355
[409]
GSM363356
[410]
GSM363357
[411]
GSM363358
[412]
GSM363359
[413]
GSM363360
[414]
GSM363361
[415]
GSM363362
[416]
GSM363363
[417]
GSM363364
[418]
GSM363365
[419]
GSM363366
[420]
GSM363367
[421]
GSM363368
[422]
GSM363369
[423]
GSM363370
[424]
GSM363371
[425]
GSM363372
[426]
GSM363373
[427]
GSM363374
[428]
GSM363375
[429]
GSM363376
[430]
GSM363378
[431]
GSM363380
[432]
GSM363381
[433]
GSM363382
[434]
GSM363384
[435]
GSM363386
[436]
GSM363388
[437]
GSM363391
[438]
GSM363393
[439]
GSM363397
[440]
GSM363400
[441]
GSM363402
[442]
GSM363404
[443]
GSM363407
[444]
GSM363417
[445]
GSM363420
[446]
GSM363421
[447]
GSM363422
[448]
GSM363423
[449]
GSM363424
[450]
GSM363425
[451]
GSM363426
[452]
GSM363427
[453]
GSM363428
[454]
GSM363429
[455]
GSM363430
[456]
GSM363431
[457]
GSM363432
[458]
GSM363433
[459]
GSM363434
[460]
GSM363435
[461]
GSM363436
[462]
GSM363437
[463]
GSM363438
[464]
GSM363439
[465]
GSM363440
[466]
GSM363441
[467]
GSM363442
[468]
GSM363443
[469]
GSM363444
[470]
GSM363445
[471]
GSM363446
[472]
GSM363447
[473]
GSM363448
[474]
GSM363449
[475]
GSM363450
[476]
GSM363451
[477]
GSM712532
[478]
GSM712533
[479]
GSM712534
[480]
GSM712535
[481]
GSM712536
[482]
GSM712537
[483]
GSM712538
[484]
GSM712539
[485]
GSM712540
[486]
GSM712541
[487]
GSM712542
sample_count
488
group_sizes
null
group_sizes_basis
null
platform
3921;571
taxon
Homo sapiens
title
Gene expression data of human hepatocellular carcinoma (HCC)
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[5] object · 15 fields
id
data:geo:GSE19665
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE19665
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE19665
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 20 items
[0]
GSM490987
[1]
GSM490988
[2]
GSM490989
[3]
GSM490990
[4]
GSM490991
[5]
GSM490992
[6]
GSM490993
[7]
GSM490994
[8]
GSM490995
[9]
GSM490996
[10]
GSM490997
[11]
GSM490998
[12]
GSM490999
[13]
GSM491000
[14]
GSM491001
[15]
GSM491002
[16]
GSM491003
[17]
GSM491004
[18]
GSM491005
[19]
GSM491006
sample_count
20
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Aberrant DNA methylation in hepatitis B and C virus-related hepatocellular carcinoma
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[6] object · 15 fields
id
data:geo:GSE22405
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE22405
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE22405
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 48 items
[0]
GSM557089
[1]
GSM557090
[2]
GSM557091
[3]
GSM557092
[4]
GSM557093
[5]
GSM557094
[6]
GSM557095
[7]
GSM557096
[8]
GSM557097
[9]
GSM557098
[10]
GSM557099
[11]
GSM557100
[12]
GSM557101
[13]
GSM557102
[14]
GSM557103
[15]
GSM557104
[16]
GSM557105
[17]
GSM557106
[18]
GSM557107
[19]
GSM557108
[20]
GSM557109
[21]
GSM557110
[22]
GSM557111
[23]
GSM557112
[24]
GSM557113
[25]
GSM557114
[26]
GSM557115
[27]
GSM557116
[28]
GSM557117
[29]
GSM557118
[30]
GSM557119
[31]
GSM557120
[32]
GSM557121
[33]
GSM557122
[34]
GSM557123
[35]
GSM557124
[36]
GSM557125
[37]
GSM557126
[38]
GSM557127
[39]
GSM557128
[40]
GSM557129
[41]
GSM557130
[42]
GSM557131
[43]
GSM557132
[44]
GSM557133
[45]
GSM557134
[46]
GSM557135
[47]
GSM557136
sample_count
48
group_sizes
null
group_sizes_basis
null
platform
10553
taxon
Homo sapiens
title
Gene expression profiling of liver cancers
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[7] object · 15 fields
id
data:geo:GSE25097
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE25097
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE25097
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 557 items
[0]
GSM616704
[1]
GSM616705
[2]
GSM616706
[3]
GSM616707
[4]
GSM616708
[5]
GSM616709
[6]
GSM616710
[7]
GSM616711
[8]
GSM616712
[9]
GSM616713
[10]
GSM616714
[11]
GSM616715
[12]
GSM616716
[13]
GSM616717
[14]
GSM616718
[15]
GSM616719
[16]
GSM616720
[17]
GSM616721
[18]
GSM616722
[19]
GSM616723
[20]
GSM616724
[21]
GSM616725
[22]
GSM616726
[23]
GSM616727
[24]
GSM616728
[25]
GSM616729
[26]
GSM616730
[27]
GSM616731
[28]
GSM616732
[29]
GSM616733
[30]
GSM616734
[31]
GSM616735
[32]
GSM616736
[33]
GSM616737
[34]
GSM616738
[35]
GSM616739
[36]
GSM616740
[37]
GSM616741
[38]
GSM616742
[39]
GSM616743
[40]
GSM616744
[41]
GSM616745
[42]
GSM616746
[43]
GSM616747
[44]
GSM616748
[45]
GSM616749
[46]
GSM616750
[47]
GSM616751
[48]
GSM616752
[49]
GSM616753
[50]
GSM616754
[51]
GSM616755
[52]
GSM616756
[53]
GSM616757
[54]
GSM616758
[55]
GSM616759
[56]
GSM616760
[57]
GSM616761
[58]
GSM616762
[59]
GSM616763
[60]
GSM616764
[61]
GSM616765
[62]
GSM616766
[63]
GSM616767
[64]
GSM616768
[65]
GSM616769
[66]
GSM616770
[67]
GSM616771
[68]
GSM616772
[69]
GSM616773
[70]
GSM616774
[71]
GSM616775
[72]
GSM616776
[73]
GSM616777
[74]
GSM616778
[75]
GSM616779
[76]
GSM616780
[77]
GSM616781
[78]
GSM616782
[79]
GSM616783
[80]
GSM616784
[81]
GSM616785
[82]
GSM616786
[83]
GSM616787
[84]
GSM616788
[85]
GSM616789
[86]
GSM616790
[87]
GSM616791
[88]
GSM616792
[89]
GSM616793
[90]
GSM616794
[91]
GSM616795
[92]
GSM616796
[93]
GSM616797
[94]
GSM616798
[95]
GSM616799
[96]
GSM616800
[97]
GSM616801
[98]
GSM616802
[99]
GSM616803
[100]
GSM616804
[101]
GSM616805
[102]
GSM616806
[103]
GSM616807
[104]
GSM616808
[105]
GSM616809
[106]
GSM616810
[107]
GSM616811
[108]
GSM616812
[109]
GSM616813
[110]
GSM616814
[111]
GSM616815
[112]
GSM616816
[113]
GSM616817
[114]
GSM616818
[115]
GSM616819
[116]
GSM616820
[117]
GSM616821
[118]
GSM616822
[119]
GSM616823
[120]
GSM616824
[121]
GSM616825
[122]
GSM616826
[123]
GSM616827
[124]
GSM616828
[125]
GSM616829
[126]
GSM616830
[127]
GSM616831
[128]
GSM616832
[129]
GSM616833
[130]
GSM616834
[131]
GSM616835
[132]
GSM616836
[133]
GSM616837
[134]
GSM616838
[135]
GSM616839
[136]
GSM616840
[137]
GSM616841
[138]
GSM616842
[139]
GSM616843
[140]
GSM616844
[141]
GSM616845
[142]
GSM616846
[143]
GSM616847
[144]
GSM616848
[145]
GSM616849
[146]
GSM616850
[147]
GSM616851
[148]
GSM616852
[149]
GSM616853
[150]
GSM616854
[151]
GSM616855
[152]
GSM616856
[153]
GSM616857
[154]
GSM616858
[155]
GSM616859
[156]
GSM616860
[157]
GSM616861
[158]
GSM616862
[159]
GSM616863
[160]
GSM616864
[161]
GSM616865
[162]
GSM616866
[163]
GSM616867
[164]
GSM616868
[165]
GSM616869
[166]
GSM616870
[167]
GSM616871
[168]
GSM616872
[169]
GSM616873
[170]
GSM616874
[171]
GSM616875
[172]
GSM616876
[173]
GSM616877
[174]
GSM616878
[175]
GSM616879
[176]
GSM616880
[177]
GSM616881
[178]
GSM616882
[179]
GSM616883
[180]
GSM616884
[181]
GSM616885
[182]
GSM616886
[183]
GSM616887
[184]
GSM616888
[185]
GSM616889
[186]
GSM616890
[187]
GSM616891
[188]
GSM616892
[189]
GSM616893
[190]
GSM616894
[191]
GSM616895
[192]
GSM616896
[193]
GSM616897
[194]
GSM616898
[195]
GSM616899
[196]
GSM616900
[197]
GSM616901
[198]
GSM616902
[199]
GSM616903
[200]
GSM616904
[201]
GSM616905
[202]
GSM616906
[203]
GSM616907
[204]
GSM616908
[205]
GSM616909
[206]
GSM616910
[207]
GSM616911
[208]
GSM616912
[209]
GSM616913
[210]
GSM616914
[211]
GSM616915
[212]
GSM616916
[213]
GSM616917
[214]
GSM616918
[215]
GSM616919
[216]
GSM616920
[217]
GSM616921
[218]
GSM616922
[219]
GSM616923
[220]
GSM616924
[221]
GSM616925
[222]
GSM616926
[223]
GSM616927
[224]
GSM616928
[225]
GSM616929
[226]
GSM616930
[227]
GSM616931
[228]
GSM616932
[229]
GSM616933
[230]
GSM616934
[231]
GSM616935
[232]
GSM616936
[233]
GSM616937
[234]
GSM616938
[235]
GSM616939
[236]
GSM616940
[237]
GSM616941
[238]
GSM616942
[239]
GSM616943
[240]
GSM616944
[241]
GSM616945
[242]
GSM616947
[243]
GSM616948
[244]
GSM616950
[245]
GSM616952
[246]
GSM616953
[247]
GSM616955
[248]
GSM616957
[249]
GSM616959
[250]
GSM616961
[251]
GSM616963
[252]
GSM616965
[253]
GSM616966
[254]
GSM616968
[255]
GSM616970
[256]
GSM616972
[257]
GSM616973
[258]
GSM616975
[259]
GSM616977
[260]
GSM616978
[261]
GSM616980
[262]
GSM616982
[263]
GSM616984
[264]
GSM616986
[265]
GSM616987
[266]
GSM616989
[267]
GSM616990
[268]
GSM616992
[269]
GSM616994
[270]
GSM616995
[271]
GSM616996
[272]
GSM616997
[273]
GSM616998
[274]
GSM616999
[275]
GSM617000
[276]
GSM617001
[277]
GSM617002
[278]
GSM617003
[279]
GSM617004
[280]
GSM617005
[281]
GSM617006
[282]
GSM617007
[283]
GSM617008
[284]
GSM617009
[285]
GSM617010
[286]
GSM617011
[287]
GSM617012
[288]
GSM617013
[289]
GSM617304
[290]
GSM617305
[291]
GSM617306
[292]
GSM617307
[293]
GSM617308
[294]
GSM617309
[295]
GSM617310
[296]
GSM617311
[297]
GSM617312
[298]
GSM617313
[299]
GSM617314
[300]
GSM617315
[301]
GSM617316
[302]
GSM617317
[303]
GSM617318
[304]
GSM617319
[305]
GSM617320
[306]
GSM617321
[307]
GSM617322
[308]
GSM617323
[309]
GSM617324
[310]
GSM617325
[311]
GSM617326
[312]
GSM617327
[313]
GSM617328
[314]
GSM617329
[315]
GSM617330
[316]
GSM617331
[317]
GSM617332
[318]
GSM617333
[319]
GSM617334
[320]
GSM617335
[321]
GSM617336
[322]
GSM617337
[323]
GSM617338
[324]
GSM617339
[325]
GSM617340
[326]
GSM617341
[327]
GSM617342
[328]
GSM617343
[329]
GSM617344
[330]
GSM617345
[331]
GSM617346
[332]
GSM617347
[333]
GSM617348
[334]
GSM617349
[335]
GSM617350
[336]
GSM617351
[337]
GSM617352
[338]
GSM617353
[339]
GSM617354
[340]
GSM617355
[341]
GSM617356
[342]
GSM617357
[343]
GSM617358
[344]
GSM617359
[345]
GSM617360
[346]
GSM617361
[347]
GSM617362
[348]
GSM617363
[349]
GSM617364
[350]
GSM617365
[351]
GSM617366
[352]
GSM617367
[353]
GSM617368
[354]
GSM617369
[355]
GSM617370
[356]
GSM617371
[357]
GSM617372
[358]
GSM617373
[359]
GSM617374
[360]
GSM617375
[361]
GSM617376
[362]
GSM617377
[363]
GSM617378
[364]
GSM617379
[365]
GSM617380
[366]
GSM617381
[367]
GSM617382
[368]
GSM617383
[369]
GSM617384
[370]
GSM617385
[371]
GSM617386
[372]
GSM617387
[373]
GSM617388
[374]
GSM617389
[375]
GSM617390
[376]
GSM617391
[377]
GSM617392
[378]
GSM617393
[379]
GSM617394
[380]
GSM617395
[381]
GSM617396
[382]
GSM617397
[383]
GSM617398
[384]
GSM617399
[385]
GSM617400
[386]
GSM617401
[387]
GSM617402
[388]
GSM617403
[389]
GSM617404
[390]
GSM617405
[391]
GSM617406
[392]
GSM617407
[393]
GSM617408
[394]
GSM617409
[395]
GSM617410
[396]
GSM617411
[397]
GSM617412
[398]
GSM617413
[399]
GSM617414
[400]
GSM617415
[401]
GSM617416
[402]
GSM617417
[403]
GSM617418
[404]
GSM617419
[405]
GSM617420
[406]
GSM617421
[407]
GSM617422
[408]
GSM617423
[409]
GSM617424
[410]
GSM617425
[411]
GSM617426
[412]
GSM617427
[413]
GSM617428
[414]
GSM617429
[415]
GSM617430
[416]
GSM617431
[417]
GSM617432
[418]
GSM617433
[419]
GSM617434
[420]
GSM617435
[421]
GSM617436
[422]
GSM617437
[423]
GSM617438
[424]
GSM617439
[425]
GSM617440
[426]
GSM617441
[427]
GSM617442
[428]
GSM617443
[429]
GSM617444
[430]
GSM617445
[431]
GSM617446
[432]
GSM617447
[433]
GSM617448
[434]
GSM617449
[435]
GSM617450
[436]
GSM617451
[437]
GSM617452
[438]
GSM617453
[439]
GSM617454
[440]
GSM617455
[441]
GSM617456
[442]
GSM617457
[443]
GSM617458
[444]
GSM617459
[445]
GSM617460
[446]
GSM617461
[447]
GSM617462
[448]
GSM617463
[449]
GSM617464
[450]
GSM617465
[451]
GSM617466
[452]
GSM617467
[453]
GSM617468
[454]
GSM617469
[455]
GSM617470
[456]
GSM617471
[457]
GSM617472
[458]
GSM617473
[459]
GSM617474
[460]
GSM617475
[461]
GSM617476
[462]
GSM617477
[463]
GSM617478
[464]
GSM617479
[465]
GSM617480
[466]
GSM617481
[467]
GSM617482
[468]
GSM617483
[469]
GSM617484
[470]
GSM617485
[471]
GSM617486
[472]
GSM617487
[473]
GSM617488
[474]
GSM617489
[475]
GSM617490
[476]
GSM617491
[477]
GSM617492
[478]
GSM617493
[479]
GSM617494
[480]
GSM617495
[481]
GSM617496
[482]
GSM617497
[483]
GSM617498
[484]
GSM617499
[485]
GSM617500
[486]
GSM617501
[487]
GSM617502
[488]
GSM617503
[489]
GSM617504
[490]
GSM617505
[491]
GSM617506
[492]
GSM617507
[493]
GSM617508
[494]
GSM617509
[495]
GSM617510
[496]
GSM617511
[497]
GSM617512
[498]
GSM617513
[499]
GSM617514
[500]
GSM617515
[501]
GSM617516
[502]
GSM617517
[503]
GSM617518
[504]
GSM617519
[505]
GSM617520
[506]
GSM617521
[507]
GSM617522
[508]
GSM617523
[509]
GSM617524
[510]
GSM617525
[511]
GSM617526
[512]
GSM617527
[513]
GSM617528
[514]
GSM617529
[515]
GSM617530
[516]
GSM617531
[517]
GSM617532
[518]
GSM617533
[519]
GSM617534
[520]
GSM617535
[521]
GSM617536
[522]
GSM617537
[523]
GSM617538
[524]
GSM617539
[525]
GSM617540
[526]
GSM617541
[527]
GSM617542
[528]
GSM617543
[529]
GSM617544
[530]
GSM617545
[531]
GSM617546
[532]
GSM617547
[533]
GSM617548
[534]
GSM617549
[535]
GSM617550
[536]
GSM617551
[537]
GSM617552
[538]
GSM617553
[539]
GSM617554
[540]
GSM617555
[541]
GSM617556
[542]
GSM617557
[543]
GSM617558
[544]
GSM617559
[545]
GSM617560
[546]
GSM617561
[547]
GSM617562
[548]
GSM617563
[549]
GSM617564
[550]
GSM617565
[551]
GSM617566
[552]
GSM617567
[553]
GSM617568
[554]
GSM617569
[555]
GSM617570
[556]
GSM617571
sample_count
557
group_sizes
null
group_sizes_basis
null
platform
10687
taxon
Homo sapiens
title
Study of gene expression of human liver Hepatocellular carcinoma
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[8] object · 15 fields
id
data:geo:GSE29721
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE29721
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE29721
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 20 items
[0]
GSM737065
[1]
GSM737066
[2]
GSM737067
[3]
GSM737068
[4]
GSM737069
[5]
GSM737070
[6]
GSM737071
[7]
GSM737072
[8]
GSM737073
[9]
GSM737074
[10]
GSM737075
[11]
GSM737076
[12]
GSM737077
[13]
GSM737078
[14]
GSM737079
[15]
GSM737080
[16]
GSM737081
[17]
GSM737082
[18]
GSM737083
[19]
GSM737084
sample_count
20
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
The landscape of promoter DNA hypomethylation in liver cancer (expression data)
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[9] object · 15 fields
id
data:geo:GSE31370
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE31370
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE31370
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 26 items
[0]
GSM777740
[1]
GSM777741
[2]
GSM777742
[3]
GSM777743
[4]
GSM777744
[5]
GSM777745
[6]
GSM777746
[7]
GSM777747
[8]
GSM777748
[9]
GSM777749
[10]
GSM777750
[11]
GSM777751
[12]
GSM777752
[13]
GSM777753
[14]
GSM777754
[15]
GSM777755
[16]
GSM777756
[17]
GSM777757
[18]
GSM777758
[19]
GSM777759
[20]
GSM777760
[21]
GSM777761
[22]
GSM777762
[23]
GSM777763
[24]
GSM777764
[25]
GSM777765
sample_count
26
group_sizes
null
group_sizes_basis
null
platform
10558
taxon
Homo sapiens
title
Fibrous stromal component in hepatocellular carcinoma reveals a cholangiocarcinoma-like gene expression trait and epithelial-mesenchymal transition.
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[10] object · 15 fields
id
data:geo:GSE32879
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE32879
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE32879
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 37 items
[0]
GSM813712
[1]
GSM813713
[2]
GSM813714
[3]
GSM813715
[4]
GSM813716
[5]
GSM813717
[6]
GSM813718
[7]
GSM813719
[8]
GSM813720
[9]
GSM813721
[10]
GSM813722
[11]
GSM813723
[12]
GSM813724
[13]
GSM813725
[14]
GSM813726
[15]
GSM813727
[16]
GSM813728
[17]
GSM813729
[18]
GSM813730
[19]
GSM813731
[20]
GSM813732
[21]
GSM813733
[22]
GSM813734
[23]
GSM813735
[24]
GSM813736
[25]
GSM813737
[26]
GSM813738
[27]
GSM813739
[28]
GSM813740
[29]
GSM813741
[30]
GSM813742
[31]
GSM813743
[32]
GSM813744
[33]
GSM813745
[34]
GSM813746
[35]
GSM813747
[36]
GSM813748
sample_count
37
group_sizes
null
group_sizes_basis
null
platform
6244
taxon
Homo sapiens
title
Integrative Transcriptomic Profiling reveals Hepatic Stem-like Phenotype and Interplay of EMT and miR-200c in Intrahepatic Cholangiocarcinoma [mRNA]
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[11] object · 15 fields
id
data:geo:GSE36076
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE36076
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE36076
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 26 items
[0]
GSM880774
[1]
GSM880775
[2]
GSM880776
[3]
GSM880777
[4]
GSM880778
[5]
GSM880779
[6]
GSM880780
[7]
GSM880781
[8]
GSM880782
[9]
GSM880783
[10]
GSM880784
[11]
GSM880785
[12]
GSM880786
[13]
GSM880787
[14]
GSM880788
[15]
GSM880789
[16]
GSM880790
[17]
GSM880791
[18]
GSM880792
[19]
GSM880793
[20]
GSM880794
[21]
GSM880795
[22]
GSM880796
[23]
GSM880797
[24]
GSM880798
[25]
GSM880799
sample_count
26
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
A combined strategy of global gene expression analysis and multiplex PCR established a 13-member gene signature for the diagnosis of human hepatocellular carcinoma.
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[12] object · 15 fields
id
data:geo:GSE36376
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE36376
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE36376
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 433 items
[0]
GSM890128
[1]
GSM890129
[2]
GSM890130
[3]
GSM890131
[4]
GSM890132
[5]
GSM890133
[6]
GSM890134
[7]
GSM890135
[8]
GSM890136
[9]
GSM890137
[10]
GSM890138
[11]
GSM890139
[12]
GSM890140
[13]
GSM890141
[14]
GSM890142
[15]
GSM890143
[16]
GSM890144
[17]
GSM890145
[18]
GSM890146
[19]
GSM890147
[20]
GSM890148
[21]
GSM890149
[22]
GSM890150
[23]
GSM890151
[24]
GSM890152
[25]
GSM890153
[26]
GSM890154
[27]
GSM890155
[28]
GSM890156
[29]
GSM890157
[30]
GSM890158
[31]
GSM890159
[32]
GSM890160
[33]
GSM890161
[34]
GSM890162
[35]
GSM890163
[36]
GSM890164
[37]
GSM890165
[38]
GSM890166
[39]
GSM890167
[40]
GSM890168
[41]
GSM890169
[42]
GSM890170
[43]
GSM890171
[44]
GSM890172
[45]
GSM890173
[46]
GSM890174
[47]
GSM890175
[48]
GSM890176
[49]
GSM890177
[50]
GSM890178
[51]
GSM890179
[52]
GSM890180
[53]
GSM890181
[54]
GSM890182
[55]
GSM890183
[56]
GSM890184
[57]
GSM890185
[58]
GSM890186
[59]
GSM890187
[60]
GSM890188
[61]
GSM890189
[62]
GSM890190
[63]
GSM890191
[64]
GSM890192
[65]
GSM890193
[66]
GSM890194
[67]
GSM890195
[68]
GSM890196
[69]
GSM890197
[70]
GSM890198
[71]
GSM890199
[72]
GSM890200
[73]
GSM890201
[74]
GSM890202
[75]
GSM890203
[76]
GSM890204
[77]
GSM890205
[78]
GSM890206
[79]
GSM890207
[80]
GSM890208
[81]
GSM890209
[82]
GSM890210
[83]
GSM890211
[84]
GSM890212
[85]
GSM890213
[86]
GSM890214
[87]
GSM890215
[88]
GSM890216
[89]
GSM890217
[90]
GSM890218
[91]
GSM890219
[92]
GSM890220
[93]
GSM890221
[94]
GSM890222
[95]
GSM890223
[96]
GSM890224
[97]
GSM890225
[98]
GSM890226
[99]
GSM890227
[100]
GSM890228
[101]
GSM890229
[102]
GSM890230
[103]
GSM890231
[104]
GSM890232
[105]
GSM890233
[106]
GSM890234
[107]
GSM890235
[108]
GSM890236
[109]
GSM890237
[110]
GSM890238
[111]
GSM890239
[112]
GSM890240
[113]
GSM890241
[114]
GSM890242
[115]
GSM890243
[116]
GSM890244
[117]
GSM890245
[118]
GSM890246
[119]
GSM890247
[120]
GSM890248
[121]
GSM890249
[122]
GSM890250
[123]
GSM890251
[124]
GSM890252
[125]
GSM890253
[126]
GSM890254
[127]
GSM890255
[128]
GSM890256
[129]
GSM890257
[130]
GSM890258
[131]
GSM890259
[132]
GSM890260
[133]
GSM890261
[134]
GSM890262
[135]
GSM890263
[136]
GSM890264
[137]
GSM890265
[138]
GSM890266
[139]
GSM890267
[140]
GSM890268
[141]
GSM890269
[142]
GSM890270
[143]
GSM890271
[144]
GSM890272
[145]
GSM890273
[146]
GSM890274
[147]
GSM890275
[148]
GSM890276
[149]
GSM890277
[150]
GSM890278
[151]
GSM890279
[152]
GSM890280
[153]
GSM890281
[154]
GSM890282
[155]
GSM890283
[156]
GSM890284
[157]
GSM890285
[158]
GSM890286
[159]
GSM890287
[160]
GSM890288
[161]
GSM890289
[162]
GSM890290
[163]
GSM890291
[164]
GSM890292
[165]
GSM890293
[166]
GSM890294
[167]
GSM890295
[168]
GSM890296
[169]
GSM890297
[170]
GSM890298
[171]
GSM890299
[172]
GSM890300
[173]
GSM890301
[174]
GSM890302
[175]
GSM890303
[176]
GSM890304
[177]
GSM890305
[178]
GSM890306
[179]
GSM890307
[180]
GSM890308
[181]
GSM890309
[182]
GSM890310
[183]
GSM890311
[184]
GSM890312
[185]
GSM890313
[186]
GSM890314
[187]
GSM890315
[188]
GSM890316
[189]
GSM890317
[190]
GSM890318
[191]
GSM890319
[192]
GSM890320
[193]
GSM890321
[194]
GSM890322
[195]
GSM890323
[196]
GSM890324
[197]
GSM890325
[198]
GSM890326
[199]
GSM890327
[200]
GSM890328
[201]
GSM890329
[202]
GSM890330
[203]
GSM890331
[204]
GSM890332
[205]
GSM890333
[206]
GSM890334
[207]
GSM890335
[208]
GSM890336
[209]
GSM890337
[210]
GSM890338
[211]
GSM890339
[212]
GSM890340
[213]
GSM890341
[214]
GSM890342
[215]
GSM890343
[216]
GSM890344
[217]
GSM890345
[218]
GSM890346
[219]
GSM890347
[220]
GSM890348
[221]
GSM890349
[222]
GSM890350
[223]
GSM890351
[224]
GSM890352
[225]
GSM890353
[226]
GSM890354
[227]
GSM890355
[228]
GSM890356
[229]
GSM890357
[230]
GSM890358
[231]
GSM890359
[232]
GSM890360
[233]
GSM890361
[234]
GSM890362
[235]
GSM890363
[236]
GSM890364
[237]
GSM890365
[238]
GSM890366
[239]
GSM890367
[240]
GSM890368
[241]
GSM890369
[242]
GSM890370
[243]
GSM890371
[244]
GSM890372
[245]
GSM890373
[246]
GSM890374
[247]
GSM890375
[248]
GSM890376
[249]
GSM890377
[250]
GSM890378
[251]
GSM890379
[252]
GSM890380
[253]
GSM890381
[254]
GSM890382
[255]
GSM890383
[256]
GSM890384
[257]
GSM890385
[258]
GSM890386
[259]
GSM890387
[260]
GSM890388
[261]
GSM890389
[262]
GSM890390
[263]
GSM890391
[264]
GSM890392
[265]
GSM890393
[266]
GSM890394
[267]
GSM890395
[268]
GSM890396
[269]
GSM890397
[270]
GSM890398
[271]
GSM890399
[272]
GSM890400
[273]
GSM890401
[274]
GSM890402
[275]
GSM890403
[276]
GSM890404
[277]
GSM890405
[278]
GSM890406
[279]
GSM890407
[280]
GSM890408
[281]
GSM890409
[282]
GSM890410
[283]
GSM890411
[284]
GSM890412
[285]
GSM890413
[286]
GSM890414
[287]
GSM890415
[288]
GSM890416
[289]
GSM890417
[290]
GSM890418
[291]
GSM890419
[292]
GSM890420
[293]
GSM890421
[294]
GSM890422
[295]
GSM890423
[296]
GSM890424
[297]
GSM890425
[298]
GSM890426
[299]
GSM890427
[300]
GSM890428
[301]
GSM890429
[302]
GSM890430
[303]
GSM890431
[304]
GSM890432
[305]
GSM890433
[306]
GSM890434
[307]
GSM890435
[308]
GSM890436
[309]
GSM890437
[310]
GSM890438
[311]
GSM890439
[312]
GSM890440
[313]
GSM890441
[314]
GSM890442
[315]
GSM890443
[316]
GSM890444
[317]
GSM890445
[318]
GSM890446
[319]
GSM890447
[320]
GSM890448
[321]
GSM890449
[322]
GSM890450
[323]
GSM890451
[324]
GSM890452
[325]
GSM890453
[326]
GSM890454
[327]
GSM890455
[328]
GSM890456
[329]
GSM890457
[330]
GSM890458
[331]
GSM890459
[332]
GSM890460
[333]
GSM890461
[334]
GSM890462
[335]
GSM890463
[336]
GSM890464
[337]
GSM890465
[338]
GSM890466
[339]
GSM890467
[340]
GSM890468
[341]
GSM890469
[342]
GSM890470
[343]
GSM890471
[344]
GSM890472
[345]
GSM890473
[346]
GSM890474
[347]
GSM890475
[348]
GSM890476
[349]
GSM890477
[350]
GSM890478
[351]
GSM890479
[352]
GSM890480
[353]
GSM890481
[354]
GSM890482
[355]
GSM890483
[356]
GSM890484
[357]
GSM890485
[358]
GSM890486
[359]
GSM890487
[360]
GSM890488
[361]
GSM890489
[362]
GSM890490
[363]
GSM890491
[364]
GSM890492
[365]
GSM890493
[366]
GSM890494
[367]
GSM890495
[368]
GSM890496
[369]
GSM890497
[370]
GSM890498
[371]
GSM890499
[372]
GSM890500
[373]
GSM890501
[374]
GSM890502
[375]
GSM890503
[376]
GSM890504
[377]
GSM890505
[378]
GSM890506
[379]
GSM890507
[380]
GSM890508
[381]
GSM890509
[382]
GSM890510
[383]
GSM890511
[384]
GSM890512
[385]
GSM890513
[386]
GSM890514
[387]
GSM890515
[388]
GSM890516
[389]
GSM890517
[390]
GSM890518
[391]
GSM890519
[392]
GSM890520
[393]
GSM890521
[394]
GSM890522
[395]
GSM890523
[396]
GSM890524
[397]
GSM890525
[398]
GSM890526
[399]
GSM890527
[400]
GSM890528
[401]
GSM890529
[402]
GSM890530
[403]
GSM890531
[404]
GSM890532
[405]
GSM890533
[406]
GSM890534
[407]
GSM890535
[408]
GSM890536
[409]
GSM890537
[410]
GSM890538
[411]
GSM890539
[412]
GSM890540
[413]
GSM890541
[414]
GSM890542
[415]
GSM890543
[416]
GSM890544
[417]
GSM890545
[418]
GSM890546
[419]
GSM890547
[420]
GSM890548
[421]
GSM890549
[422]
GSM890550
[423]
GSM890551
[424]
GSM890552
[425]
GSM890553
[426]
GSM890554
[427]
GSM890555
[428]
GSM890556
[429]
GSM890557
[430]
GSM890558
[431]
GSM890559
[432]
GSM890560
sample_count
433
group_sizes
null
group_sizes_basis
null
platform
10558
taxon
Homo sapiens
title
Gene Expression Profiles of both tumor and adjacent non-tumor liver Identify Hepatocellular Carcinoma Patients at High Risk of Recurrence after Curative Hepatectomy
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[13] object · 15 fields
id
data:geo:GSE39791
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE39791
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE39791
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 144 items
[0]
GSM979051
[1]
GSM979052
[2]
GSM979053
[3]
GSM979054
[4]
GSM979055
[5]
GSM979056
[6]
GSM979057
[7]
GSM979058
[8]
GSM979059
[9]
GSM979060
[10]
GSM979061
[11]
GSM979062
[12]
GSM979063
[13]
GSM979064
[14]
GSM979065
[15]
GSM979066
[16]
GSM979067
[17]
GSM979068
[18]
GSM979069
[19]
GSM979070
[20]
GSM979071
[21]
GSM979072
[22]
GSM979073
[23]
GSM979074
[24]
GSM979075
[25]
GSM979076
[26]
GSM979077
[27]
GSM979078
[28]
GSM979079
[29]
GSM979080
[30]
GSM979081
[31]
GSM979082
[32]
GSM979083
[33]
GSM979084
[34]
GSM979085
[35]
GSM979086
[36]
GSM979087
[37]
GSM979088
[38]
GSM979089
[39]
GSM979090
[40]
GSM979091
[41]
GSM979092
[42]
GSM979093
[43]
GSM979094
[44]
GSM979095
[45]
GSM979096
[46]
GSM979097
[47]
GSM979098
[48]
GSM979099
[49]
GSM979100
[50]
GSM979101
[51]
GSM979102
[52]
GSM979103
[53]
GSM979104
[54]
GSM979105
[55]
GSM979106
[56]
GSM979107
[57]
GSM979108
[58]
GSM979109
[59]
GSM979110
[60]
GSM979111
[61]
GSM979112
[62]
GSM979113
[63]
GSM979114
[64]
GSM979115
[65]
GSM979116
[66]
GSM979117
[67]
GSM979118
[68]
GSM979119
[69]
GSM979120
[70]
GSM979121
[71]
GSM979122
[72]
GSM979123
[73]
GSM979124
[74]
GSM979125
[75]
GSM979126
[76]
GSM979127
[77]
GSM979128
[78]
GSM979129
[79]
GSM979130
[80]
GSM979131
[81]
GSM979132
[82]
GSM979133
[83]
GSM979134
[84]
GSM979135
[85]
GSM979136
[86]
GSM979137
[87]
GSM979138
[88]
GSM979139
[89]
GSM979140
[90]
GSM979141
[91]
GSM979142
[92]
GSM979143
[93]
GSM979144
[94]
GSM979145
[95]
GSM979146
[96]
GSM979147
[97]
GSM979148
[98]
GSM979149
[99]
GSM979150
[100]
GSM979151
[101]
GSM979152
[102]
GSM979153
[103]
GSM979154
[104]
GSM979155
[105]
GSM979156
[106]
GSM979157
[107]
GSM979158
[108]
GSM979159
[109]
GSM979160
[110]
GSM979161
[111]
GSM979162
[112]
GSM979163
[113]
GSM979164
[114]
GSM979165
[115]
GSM979166
[116]
GSM979167
[117]
GSM979168
[118]
GSM979169
[119]
GSM979170
[120]
GSM979171
[121]
GSM979172
[122]
GSM979173
[123]
GSM979174
[124]
GSM979175
[125]
GSM979176
[126]
GSM979177
[127]
GSM979178
[128]
GSM979179
[129]
GSM979180
[130]
GSM979181
[131]
GSM979182
[132]
GSM979183
[133]
GSM979184
[134]
GSM979185
[135]
GSM979186
[136]
GSM979187
[137]
GSM979188
[138]
GSM979189
[139]
GSM979190
[140]
GSM979191
[141]
GSM979192
[142]
GSM979193
[143]
GSM979194
sample_count
144
group_sizes
null
group_sizes_basis
null
platform
10558
taxon
Homo sapiens
title
Hepatic regeneration gene expression signature predicts late recurrence of hepatocellular carcinoma
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[14] object · 15 fields
id
data:geo:GSE45267
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45267
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE45267
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 87 items
[0]
GSM1100370
[1]
GSM1100371
[2]
GSM1100372
[3]
GSM1100373
[4]
GSM1100374
[5]
GSM1100375
[6]
GSM1100376
[7]
GSM1100377
[8]
GSM1100378
[9]
GSM1100379
[10]
GSM1100380
[11]
GSM1100381
[12]
GSM1100382
[13]
GSM1100383
[14]
GSM1100384
[15]
GSM1100385
[16]
GSM1100386
[17]
GSM1100387
[18]
GSM1100388
[19]
GSM1100389
[20]
GSM1100390
[21]
GSM1100391
[22]
GSM1100392
[23]
GSM1100393
[24]
GSM1100394
[25]
GSM1100395
[26]
GSM1100396
[27]
GSM1100397
[28]
GSM1100398
[29]
GSM1100399
[30]
GSM1100400
[31]
GSM1100401
[32]
GSM1100402
[33]
GSM1100403
[34]
GSM1100404
[35]
GSM1100405
[36]
GSM1100406
[37]
GSM1100407
[38]
GSM1100408
[39]
GSM1100409
[40]
GSM1100410
[41]
GSM1100411
[42]
GSM1100412
[43]
GSM1100413
[44]
GSM1100414
[45]
GSM1100415
[46]
GSM1100416
[47]
GSM1100417
[48]
GSM1100418
[49]
GSM1100419
[50]
GSM1100420
[51]
GSM1100421
[52]
GSM1100422
[53]
GSM1100423
[54]
GSM1100424
[55]
GSM1100425
[56]
GSM1100426
[57]
GSM1100427
[58]
GSM1100428
[59]
GSM1100429
[60]
GSM1100430
[61]
GSM1100431
[62]
GSM1100432
[63]
GSM1100433
[64]
GSM1100434
[65]
GSM1100435
[66]
GSM1100436
[67]
GSM1100437
[68]
GSM1100438
[69]
GSM1100439
[70]
GSM1100440
[71]
GSM1100441
[72]
GSM1100442
[73]
GSM1100443
[74]
GSM1100444
[75]
GSM1100445
[76]
GSM1100446
[77]
GSM1100447
[78]
GSM1100448
[79]
GSM1100449
[80]
GSM1100450
[81]
GSM1100451
[82]
GSM1100452
[83]
GSM1100453
[84]
GSM1100454
[85]
GSM1100455
[86]
GSM1100456
sample_count
87
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Gene expression profiles of human hepatocellular carcinoma (training set 1)
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[15] object · 15 fields
id
data:geo:GSE46408
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE46408
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE46408
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 12 items
[0]
GSM1129834
[1]
GSM1129835
[2]
GSM1129836
[3]
GSM1129837
[4]
GSM1129838
[5]
GSM1129839
[6]
GSM1129840
[7]
GSM1129841
[8]
GSM1129842
[9]
GSM1129843
[10]
GSM1129844
[11]
GSM1129845
sample_count
12
group_sizes
null
group_sizes_basis
null
platform
4133
taxon
Homo sapiens
title
Analysis of genes overexpressed in hepatocellular carcinoma
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[16] object · 15 fields
id
data:geo:GSE51401
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE51401
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE51401
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 64 items
[0]
GSM1244729
[1]
GSM1244730
[2]
GSM1244731
[3]
GSM1244732
[4]
GSM1244733
[5]
GSM1244734
[6]
GSM1244735
[7]
GSM1244736
[8]
GSM1244737
[9]
GSM1244738
[10]
GSM1244739
[11]
GSM1244740
[12]
GSM1244741
[13]
GSM1244742
[14]
GSM1244743
[15]
GSM1244744
[16]
GSM1244745
[17]
GSM1244746
[18]
GSM1244747
[19]
GSM1244748
[20]
GSM1244749
[21]
GSM1244750
[22]
GSM1244751
[23]
GSM1244752
[24]
GSM1244753
[25]
GSM1244754
[26]
GSM1244755
[27]
GSM1244756
[28]
GSM1244757
[29]
GSM1244758
[30]
GSM1244759
[31]
GSM1244760
[32]
GSM1244761
[33]
GSM1244762
[34]
GSM1244763
[35]
GSM1244764
[36]
GSM1244765
[37]
GSM1244766
[38]
GSM1244767
[39]
GSM1244768
[40]
GSM1244769
[41]
GSM1244770
[42]
GSM1244771
[43]
GSM1244772
[44]
GSM1244773
[45]
GSM1244774
[46]
GSM1244775
[47]
GSM1244776
[48]
GSM1244777
[49]
GSM1244778
[50]
GSM1244779
[51]
GSM1244780
[52]
GSM1244781
[53]
GSM1244782
[54]
GSM1244783
[55]
GSM1244784
[56]
GSM1244785
[57]
GSM1244786
[58]
GSM1244787
[59]
GSM1244788
[60]
GSM1244789
[61]
GSM1244790
[62]
GSM1244791
[63]
GSM1244792
sample_count
64
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Expression data from tumor-associated endothelial cells of hepatocellular carcinoma
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[17] object · 15 fields
id
data:geo:GSE54236
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE54236
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE54236
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 161 items
[0]
GSM1310570
[1]
GSM1310571
[2]
GSM1310572
[3]
GSM1310573
[4]
GSM1310574
[5]
GSM1310575
[6]
GSM1310576
[7]
GSM1310577
[8]
GSM1310578
[9]
GSM1310579
[10]
GSM1310580
[11]
GSM1310581
[12]
GSM1310582
[13]
GSM1310583
[14]
GSM1310584
[15]
GSM1310585
[16]
GSM1310586
[17]
GSM1310587
[18]
GSM1310588
[19]
GSM1310589
[20]
GSM1310590
[21]
GSM1310591
[22]
GSM1310592
[23]
GSM1310593
[24]
GSM1310594
[25]
GSM1310595
[26]
GSM1310596
[27]
GSM1310597
[28]
GSM1310598
[29]
GSM1310599
[30]
GSM1310600
[31]
GSM1310601
[32]
GSM1310602
[33]
GSM1310603
[34]
GSM1310604
[35]
GSM1310605
[36]
GSM1310606
[37]
GSM1310607
[38]
GSM1310608
[39]
GSM1310609
[40]
GSM1310610
[41]
GSM1310611
[42]
GSM1310612
[43]
GSM1310613
[44]
GSM1310614
[45]
GSM1310615
[46]
GSM1310616
[47]
GSM1310617
[48]
GSM1310618
[49]
GSM1310619
[50]
GSM1310620
[51]
GSM1310621
[52]
GSM1310622
[53]
GSM1310623
[54]
GSM1310624
[55]
GSM1310625
[56]
GSM1310626
[57]
GSM1310627
[58]
GSM1310628
[59]
GSM1310629
[60]
GSM1310630
[61]
GSM1310631
[62]
GSM1310632
[63]
GSM1310633
[64]
GSM1310634
[65]
GSM1310635
[66]
GSM1310636
[67]
GSM1310637
[68]
GSM1310638
[69]
GSM1310639
[70]
GSM1310640
[71]
GSM1310641
[72]
GSM1310642
[73]
GSM1310643
[74]
GSM1310644
[75]
GSM1310645
[76]
GSM1310646
[77]
GSM1310647
[78]
GSM1310648
[79]
GSM1310649
[80]
GSM1310650
[81]
GSM1310651
[82]
GSM1310652
[83]
GSM1310653
[84]
GSM1310654
[85]
GSM1310655
[86]
GSM1310656
[87]
GSM1310657
[88]
GSM1310658
[89]
GSM1310659
[90]
GSM1310660
[91]
GSM1310661
[92]
GSM1310662
[93]
GSM1310663
[94]
GSM1310664
[95]
GSM1310665
[96]
GSM1310666
[97]
GSM1310667
[98]
GSM1310668
[99]
GSM1310669
[100]
GSM1310670
[101]
GSM1310671
[102]
GSM1310672
[103]
GSM1310673
[104]
GSM1310674
[105]
GSM1310675
[106]
GSM1310676
[107]
GSM1310677
[108]
GSM1310678
[109]
GSM1310679
[110]
GSM1310680
[111]
GSM1310681
[112]
GSM1310682
[113]
GSM1310683
[114]
GSM1310684
[115]
GSM1310685
[116]
GSM1310686
[117]
GSM1310687
[118]
GSM1310688
[119]
GSM1310689
[120]
GSM1310690
[121]
GSM1310691
[122]
GSM1310692
[123]
GSM1310693
[124]
GSM1310694
[125]
GSM1310695
[126]
GSM1310696
[127]
GSM1310697
[128]
GSM1310698
[129]
GSM1310699
[130]
GSM1310700
[131]
GSM1310701
[132]
GSM1310702
[133]
GSM1310703
[134]
GSM1310704
[135]
GSM1310705
[136]
GSM1310706
[137]
GSM1310707
[138]
GSM1310708
[139]
GSM1310709
[140]
GSM1310710
[141]
GSM1310711
[142]
GSM1310712
[143]
GSM1310713
[144]
GSM1310714
[145]
GSM1310715
[146]
GSM1310716
[147]
GSM1310717
[148]
GSM1310718
[149]
GSM1310719
[150]
GSM1310720
[151]
GSM1310721
[152]
GSM1310722
[153]
GSM1310723
[154]
GSM1310724
[155]
GSM1310725
[156]
GSM1310726
[157]
GSM1310727
[158]
GSM1310728
[159]
GSM1310729
[160]
GSM1310730
sample_count
161
group_sizes
null
group_sizes_basis
null
platform
6480
taxon
Homo sapiens
title
Prospective gene expression analysis of human RNA samples from Hepatocellular Carcinoma in relation with growth rate and survival
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[18] object · 15 fields
id
data:geo:GSE57555
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE57555
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE57555
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 64 items
[0]
GSM1384672
[1]
GSM1384673
[2]
GSM1384674
[3]
GSM1384675
[4]
GSM1384676
[5]
GSM1384677
[6]
GSM1384678
[7]
GSM1384679
[8]
GSM1384680
[9]
GSM1384681
[10]
GSM1384682
[11]
GSM1384683
[12]
GSM1384684
[13]
GSM1384685
[14]
GSM1384686
[15]
GSM1384687
[16]
GSM1384688
[17]
GSM1384689
[18]
GSM1384690
[19]
GSM1384691
[20]
GSM1384692
[21]
GSM1384693
[22]
GSM1384694
[23]
GSM1384695
[24]
GSM1384696
[25]
GSM1384697
[26]
GSM1384698
[27]
GSM1384699
[28]
GSM1384700
[29]
GSM1384701
[30]
GSM1384702
[31]
GSM1384703
[32]
GSM1384704
[33]
GSM1384705
[34]
GSM1384706
[35]
GSM1384707
[36]
GSM1384708
[37]
GSM1384709
[38]
GSM1384710
[39]
GSM1384711
[40]
GSM1384712
[41]
GSM1384713
[42]
GSM1384714
[43]
GSM1384715
[44]
GSM1384716
[45]
GSM1384717
[46]
GSM1384718
[47]
GSM1384719
[48]
GSM1384720
[49]
GSM1384721
[50]
GSM1384722
[51]
GSM1384723
[52]
GSM1384724
[53]
GSM1384725
[54]
GSM1384726
[55]
GSM1384727
[56]
GSM1384728
[57]
GSM1384729
[58]
GSM1384730
[59]
GSM1384731
[60]
GSM1384732
[61]
GSM1384733
[62]
GSM1384734
[63]
GSM1384735
sample_count
64
group_sizes
null
group_sizes_basis
null
platform
18044;16699
taxon
Homo sapiens
title
mRNA/microRNA expression profiles of HCC or CCC patients' liver, together with those of non-tumor part tissues
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[19] object · 15 fields
id
data:geo:GSE57957
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE57957
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE57957
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 78 items
[0]
GSM1398645
[1]
GSM1398646
[2]
GSM1398647
[3]
GSM1398648
[4]
GSM1398649
[5]
GSM1398650
[6]
GSM1398651
[7]
GSM1398652
[8]
GSM1398653
[9]
GSM1398654
[10]
GSM1398655
[11]
GSM1398656
[12]
GSM1398657
[13]
GSM1398658
[14]
GSM1398659
[15]
GSM1398660
[16]
GSM1398661
[17]
GSM1398662
[18]
GSM1398663
[19]
GSM1398664
[20]
GSM1398665
[21]
GSM1398666
[22]
GSM1398667
[23]
GSM1398668
[24]
GSM1398669
[25]
GSM1398670
[26]
GSM1398671
[27]
GSM1398672
[28]
GSM1398673
[29]
GSM1398674
[30]
GSM1398675
[31]
GSM1398676
[32]
GSM1398677
[33]
GSM1398678
[34]
GSM1398679
[35]
GSM1398680
[36]
GSM1398681
[37]
GSM1398682
[38]
GSM1398683
[39]
GSM1398684
[40]
GSM1398685
[41]
GSM1398686
[42]
GSM1398687
[43]
GSM1398688
[44]
GSM1398689
[45]
GSM1398690
[46]
GSM1398691
[47]
GSM1398692
[48]
GSM1398693
[49]
GSM1398694
[50]
GSM1398695
[51]
GSM1398696
[52]
GSM1398697
[53]
GSM1398698
[54]
GSM1398699
[55]
GSM1398700
[56]
GSM1398701
[57]
GSM1398702
[58]
GSM1398703
[59]
GSM1398704
[60]
GSM1398705
[61]
GSM1398706
[62]
GSM1398707
[63]
GSM1398708
[64]
GSM1398709
[65]
GSM1398710
[66]
GSM1398711
[67]
GSM1398712
[68]
GSM1398713
[69]
GSM1398714
[70]
GSM1398715
[71]
GSM1398716
[72]
GSM1398717
[73]
GSM1398718
[74]
GSM1398719
[75]
GSM1398720
[76]
GSM1398721
[77]
GSM1398722
sample_count
78
group_sizes
null
group_sizes_basis
null
platform
10558
taxon
Homo sapiens
title
Expression profile of Hepatocellular Carcinoma
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[20] object · 15 fields
id
data:geo:GSE62232
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE62232
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE62232
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 91 items
[0]
GSM1523329
[1]
GSM1523330
[2]
GSM1523331
[3]
GSM1523332
[4]
GSM1523333
[5]
GSM1523334
[6]
GSM1523335
[7]
GSM1523336
[8]
GSM1523337
[9]
GSM1523338
[10]
GSM1523339
[11]
GSM1523340
[12]
GSM1523341
[13]
GSM1523342
[14]
GSM1523343
[15]
GSM1523344
[16]
GSM1523345
[17]
GSM1523346
[18]
GSM1523347
[19]
GSM1523348
[20]
GSM1523349
[21]
GSM1523350
[22]
GSM1523351
[23]
GSM1523352
[24]
GSM1523353
[25]
GSM1523354
[26]
GSM1523355
[27]
GSM1523356
[28]
GSM1523357
[29]
GSM1523358
[30]
GSM1523359
[31]
GSM1523360
[32]
GSM1523361
[33]
GSM1523362
[34]
GSM1523363
[35]
GSM1523364
[36]
GSM1523365
[37]
GSM1523366
[38]
GSM1523367
[39]
GSM1523368
[40]
GSM1523369
[41]
GSM1523370
[42]
GSM1523371
[43]
GSM1523372
[44]
GSM1523373
[45]
GSM1523374
[46]
GSM1523375
[47]
GSM1523376
[48]
GSM1523377
[49]
GSM1523378
[50]
GSM1523379
[51]
GSM1523380
[52]
GSM1523381
[53]
GSM1523382
[54]
GSM1523383
[55]
GSM1523384
[56]
GSM1523385
[57]
GSM1523386
[58]
GSM1523387
[59]
GSM1523388
[60]
GSM1523389
[61]
GSM1523390
[62]
GSM1523391
[63]
GSM1523392
[64]
GSM1523393
[65]
GSM1523394
[66]
GSM1523395
[67]
GSM1523396
[68]
GSM1523397
[69]
GSM1523398
[70]
GSM1523399
[71]
GSM1523400
[72]
GSM1523401
[73]
GSM1523402
[74]
GSM1523403
[75]
GSM1523404
[76]
GSM1523405
[77]
GSM1523406
[78]
GSM1523407
[79]
GSM1523408
[80]
GSM1523409
[81]
GSM1523410
[82]
GSM1523411
[83]
GSM1523412
[84]
GSM1523413
[85]
GSM1523414
[86]
GSM1523415
[87]
GSM1523416
[88]
GSM1523417
[89]
GSM1523418
[90]
GSM1523419
sample_count
91
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Large-scale gene expression profiling of 81 hepatocellular carcinomas
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[21] object · 15 fields
id
data:geo:GSE64041
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE64041
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE64041
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 125 items
[0]
GSM2052455
[1]
GSM2052456
[2]
GSM2052457
[3]
GSM2052458
[4]
GSM2052459
[5]
GSM2052460
[6]
GSM2052461
[7]
GSM2052462
[8]
GSM2052463
[9]
GSM2052464
[10]
GSM2052465
[11]
GSM2052466
[12]
GSM2052467
[13]
GSM2052468
[14]
GSM2052469
[15]
GSM2052470
[16]
GSM2052471
[17]
GSM2052472
[18]
GSM2052473
[19]
GSM2052474
[20]
GSM2052475
[21]
GSM2052476
[22]
GSM2052477
[23]
GSM2052478
[24]
GSM2052479
[25]
GSM2052480
[26]
GSM2052481
[27]
GSM2052482
[28]
GSM2052483
[29]
GSM2052484
[30]
GSM2052485
[31]
GSM2052486
[32]
GSM2052487
[33]
GSM2052488
[34]
GSM2052489
[35]
GSM2052490
[36]
GSM2052491
[37]
GSM2052492
[38]
GSM2052493
[39]
GSM2052494
[40]
GSM2052495
[41]
GSM2052496
[42]
GSM2052497
[43]
GSM2052498
[44]
GSM2052499
[45]
GSM2052500
[46]
GSM2052501
[47]
GSM2052502
[48]
GSM2052503
[49]
GSM2052504
[50]
GSM2052505
[51]
GSM2052506
[52]
GSM2052507
[53]
GSM2052508
[54]
GSM2052509
[55]
GSM2052510
[56]
GSM2052511
[57]
GSM2052512
[58]
GSM2052513
[59]
GSM2052514
[60]
GSM2052515
[61]
GSM2052516
[62]
GSM2052517
[63]
GSM2052518
[64]
GSM2052519
[65]
GSM2052520
[66]
GSM2052521
[67]
GSM2052522
[68]
GSM2052523
[69]
GSM2052524
[70]
GSM2052525
[71]
GSM2052526
[72]
GSM2052527
[73]
GSM2052528
[74]
GSM2052529
[75]
GSM2052530
[76]
GSM2052531
[77]
GSM2052532
[78]
GSM2052533
[79]
GSM2052534
[80]
GSM2052535
[81]
GSM2052536
[82]
GSM2052537
[83]
GSM2052538
[84]
GSM2052539
[85]
GSM2052540
[86]
GSM2052541
[87]
GSM2052542
[88]
GSM2052543
[89]
GSM2052544
[90]
GSM2052545
[91]
GSM2052546
[92]
GSM2052547
[93]
GSM2052548
[94]
GSM2052549
[95]
GSM2052550
[96]
GSM2052551
[97]
GSM2052552
[98]
GSM2052553
[99]
GSM2052554
[100]
GSM2052555
[101]
GSM2052556
[102]
GSM2052557
[103]
GSM2052558
[104]
GSM2052559
[105]
GSM2052560
[106]
GSM2052561
[107]
GSM2052562
[108]
GSM2052563
[109]
GSM2052564
[110]
GSM2052565
[111]
GSM2052566
[112]
GSM2052567
[113]
GSM2052568
[114]
GSM2052569
[115]
GSM2052570
[116]
GSM2052571
[117]
GSM2052572
[118]
GSM2052573
[119]
GSM2052574
[120]
GSM2052575
[121]
GSM2052576
[122]
GSM2052577
[123]
GSM2052578
[124]
GSM2052579
sample_count
125
group_sizes
null
group_sizes_basis
null
platform
6244
taxon
Homo sapiens
title
Gene expression profiling in paired human hepatocellular carcinoma and liver parenchyma biopsies and normal liver biopsies.
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[22] object · 15 fields
id
data:geo:GSE65484
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE65484
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE65484
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 64 items
[0]
GSM1598326
[1]
GSM1598327
[2]
GSM1598328
[3]
GSM1598329
[4]
GSM1598330
[5]
GSM1598331
[6]
GSM1598332
[7]
GSM1598333
[8]
GSM1598334
[9]
GSM1598335
[10]
GSM1598336
[11]
GSM1598337
[12]
GSM1598338
[13]
GSM1598339
[14]
GSM1598340
[15]
GSM1598341
[16]
GSM1598342
[17]
GSM1598343
[18]
GSM1598344
[19]
GSM1598345
[20]
GSM1598346
[21]
GSM1598347
[22]
GSM1598348
[23]
GSM1598349
[24]
GSM1598350
[25]
GSM1598351
[26]
GSM1598352
[27]
GSM1598353
[28]
GSM1598354
[29]
GSM1598355
[30]
GSM1598356
[31]
GSM1598357
[32]
GSM1598358
[33]
GSM1598359
[34]
GSM1598360
[35]
GSM1598361
[36]
GSM1598362
[37]
GSM1598363
[38]
GSM1598364
[39]
GSM1598365
[40]
GSM1598366
[41]
GSM1598367
[42]
GSM1598368
[43]
GSM1598369
[44]
GSM1598370
[45]
GSM1598371
[46]
GSM1598372
[47]
GSM1598373
[48]
GSM1598374
[49]
GSM1598375
[50]
GSM1598376
[51]
GSM1598377
[52]
GSM1598378
[53]
GSM1598379
[54]
GSM1598380
[55]
GSM1598381
[56]
GSM1598382
[57]
GSM1598383
[58]
GSM1598384
[59]
GSM1598385
[60]
GSM1598386
[61]
GSM1598387
[62]
GSM1598388
[63]
GSM1598389
sample_count
64
group_sizes
null
group_sizes_basis
null
platform
4091
taxon
Homo sapiens
title
aCGH profiling for Frozen tumour samples of 50 Hepatocellular Carcinoma patients and 14 Adjacent normal samples
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[23] object · 15 fields
id
data:geo:GSE69715
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE69715
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE69715
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 103 items
[0]
GSM1707730
[1]
GSM1707731
[2]
GSM1707732
[3]
GSM1707733
[4]
GSM1707734
[5]
GSM1707735
[6]
GSM1707736
[7]
GSM1707737
[8]
GSM1707738
[9]
GSM1707739
[10]
GSM1707740
[11]
GSM1707741
[12]
GSM1707742
[13]
GSM1707743
[14]
GSM1707744
[15]
GSM1707745
[16]
GSM1707746
[17]
GSM1707747
[18]
GSM1707748
[19]
GSM1707749
[20]
GSM1707750
[21]
GSM1707751
[22]
GSM1707752
[23]
GSM1707753
[24]
GSM1707754
[25]
GSM1707755
[26]
GSM1707756
[27]
GSM1707757
[28]
GSM1707758
[29]
GSM1707759
[30]
GSM1707760
[31]
GSM1707761
[32]
GSM1707762
[33]
GSM1707763
[34]
GSM1707764
[35]
GSM1707765
[36]
GSM1707766
[37]
GSM1707767
[38]
GSM1707768
[39]
GSM1707769
[40]
GSM1707770
[41]
GSM1707771
[42]
GSM1707772
[43]
GSM1707773
[44]
GSM1707774
[45]
GSM1707775
[46]
GSM1707776
[47]
GSM1707777
[48]
GSM1707778
[49]
GSM1707779
[50]
GSM1707780
[51]
GSM1707781
[52]
GSM1707782
[53]
GSM1707783
[54]
GSM1707784
[55]
GSM1707785
[56]
GSM1707786
[57]
GSM1707787
[58]
GSM1707788
[59]
GSM1707789
[60]
GSM1707790
[61]
GSM1707791
[62]
GSM1707792
[63]
GSM1707793
[64]
GSM1707794
[65]
GSM1707795
[66]
GSM1707796
[67]
GSM1707797
[68]
GSM1707798
[69]
GSM1707799
[70]
GSM1707800
[71]
GSM1707801
[72]
GSM1707802
[73]
GSM1707803
[74]
GSM1707804
[75]
GSM1707805
[76]
GSM1707806
[77]
GSM1707807
[78]
GSM1707808
[79]
GSM1707809
[80]
GSM1707810
[81]
GSM1707811
[82]
GSM1707812
[83]
GSM1707813
[84]
GSM1707814
[85]
GSM1707815
[86]
GSM1707816
[87]
GSM1707817
[88]
GSM1707818
[89]
GSM1707819
[90]
GSM1707820
[91]
GSM1707821
[92]
GSM1707822
[93]
GSM1707823
[94]
GSM1707824
[95]
GSM1707825
[96]
GSM1707826
[97]
GSM1707827
[98]
GSM1707828
[99]
GSM1707829
[100]
GSM1707830
[101]
GSM1707831
[102]
GSM1707832
sample_count
103
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Infection with Hepatitis C Virus Depends on TACSTD2, a Regulator of Claudin-1 and Occludin Highly Downregulated in Hepatocellular Carcinoma [patient]
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[24] object · 15 fields
id
data:geo:GSE76427
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE76427
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE76427
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 167 items
[0]
GSM2011285
[1]
GSM2011286
[2]
GSM2011287
[3]
GSM2011288
[4]
GSM2011289
[5]
GSM2011290
[6]
GSM2011291
[7]
GSM2011292
[8]
GSM2011293
[9]
GSM2011294
[10]
GSM2011295
[11]
GSM2011296
[12]
GSM2011297
[13]
GSM2011298
[14]
GSM2011299
[15]
GSM2011300
[16]
GSM2011301
[17]
GSM2011302
[18]
GSM2011303
[19]
GSM2011304
[20]
GSM2011305
[21]
GSM2011306
[22]
GSM2011307
[23]
GSM2011308
[24]
GSM2011309
[25]
GSM2011310
[26]
GSM2011311
[27]
GSM2011312
[28]
GSM2011313
[29]
GSM2011314
[30]
GSM2011315
[31]
GSM2011316
[32]
GSM2011317
[33]
GSM2011318
[34]
GSM2011319
[35]
GSM2011320
[36]
GSM2011321
[37]
GSM2011322
[38]
GSM2011323
[39]
GSM2011324
[40]
GSM2011325
[41]
GSM2011326
[42]
GSM2011327
[43]
GSM2011328
[44]
GSM2011329
[45]
GSM2011330
[46]
GSM2011331
[47]
GSM2011332
[48]
GSM2011333
[49]
GSM2011334
[50]
GSM2011335
[51]
GSM2011336
[52]
GSM2011337
[53]
GSM2011338
[54]
GSM2011339
[55]
GSM2011340
[56]
GSM2011341
[57]
GSM2011342
[58]
GSM2011343
[59]
GSM2011344
[60]
GSM2011345
[61]
GSM2011346
[62]
GSM2011347
[63]
GSM2011348
[64]
GSM2011349
[65]
GSM2011350
[66]
GSM2011351
[67]
GSM2011352
[68]
GSM2011353
[69]
GSM2011354
[70]
GSM2011355
[71]
GSM2011356
[72]
GSM2011357
[73]
GSM2011358
[74]
GSM2011359
[75]
GSM2011360
[76]
GSM2011361
[77]
GSM2011362
[78]
GSM2011363
[79]
GSM2011364
[80]
GSM2011365
[81]
GSM2011366
[82]
GSM2011367
[83]
GSM2011368
[84]
GSM2011369
[85]
GSM2011370
[86]
GSM2011371
[87]
GSM2011372
[88]
GSM2011373
[89]
GSM2011374
[90]
GSM2011375
[91]
GSM2011376
[92]
GSM2011377
[93]
GSM2011378
[94]
GSM2011379
[95]
GSM2011380
[96]
GSM2011381
[97]
GSM2011382
[98]
GSM2011383
[99]
GSM2011384
[100]
GSM2011385
[101]
GSM2011386
[102]
GSM2011387
[103]
GSM2011388
[104]
GSM2011389
[105]
GSM2011390
[106]
GSM2011391
[107]
GSM2011392
[108]
GSM2011393
[109]
GSM2011394
[110]
GSM2011395
[111]
GSM2011396
[112]
GSM2011397
[113]
GSM2011398
[114]
GSM2011399
[115]
GSM2011400
[116]
GSM2011401
[117]
GSM2011402
[118]
GSM2011403
[119]
GSM2011404
[120]
GSM2011405
[121]
GSM2011406
[122]
GSM2011407
[123]
GSM2011408
[124]
GSM2011409
[125]
GSM2011410
[126]
GSM2011411
[127]
GSM2011412
[128]
GSM2011413
[129]
GSM2011414
[130]
GSM2011415
[131]
GSM2011416
[132]
GSM2011417
[133]
GSM2011418
[134]
GSM2011419
[135]
GSM2011420
[136]
GSM2011421
[137]
GSM2011422
[138]
GSM2011423
[139]
GSM2011424
[140]
GSM2011425
[141]
GSM2011426
[142]
GSM2011427
[143]
GSM2011428
[144]
GSM2011429
[145]
GSM2011430
[146]
GSM2011431
[147]
GSM2011432
[148]
GSM2011433
[149]
GSM2011434
[150]
GSM2011435
[151]
GSM2011436
[152]
GSM2011437
[153]
GSM2011438
[154]
GSM2011439
[155]
GSM2011440
[156]
GSM2011441
[157]
GSM2011442
[158]
GSM2011443
[159]
GSM2011444
[160]
GSM2011445
[161]
GSM2011446
[162]
GSM2011447
[163]
GSM2011448
[164]
GSM2011449
[165]
GSM2011450
[166]
GSM2011451
sample_count
167
group_sizes
null
group_sizes_basis
null
platform
10558
taxon
Homo sapiens
title
Microarray expression data for tumor and adjacent non-tumor tissues from hepatocellular carcinoma patients
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[25] object · 15 fields
id
data:geo:GSE84402
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE84402
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE84402
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 28 items
[0]
GSM2233086
[1]
GSM2233087
[2]
GSM2233088
[3]
GSM2233089
[4]
GSM2233090
[5]
GSM2233091
[6]
GSM2233092
[7]
GSM2233093
[8]
GSM2233094
[9]
GSM2233095
[10]
GSM2233096
[11]
GSM2233097
[12]
GSM2233098
[13]
GSM2233099
[14]
GSM2233100
[15]
GSM2233101
[16]
GSM2233102
[17]
GSM2233103
[18]
GSM2233104
[19]
GSM2233105
[20]
GSM2233106
[21]
GSM2233107
[22]
GSM2233108
[23]
GSM2233109
[24]
GSM2233110
[25]
GSM2233111
[26]
GSM2233112
[27]
GSM2233113
sample_count
28
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Expression data from human hepatocellular carcinoma tissues and the correponding non-cancerous tissues
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[26] object · 15 fields
id
data:geo:GSE84598
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE84598
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE84598
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 66 items
[0]
GSM2242467
[1]
GSM2242468
[2]
GSM2242469
[3]
GSM2242470
[4]
GSM2242471
[5]
GSM2242472
[6]
GSM2242473
[7]
GSM2242474
[8]
GSM2242475
[9]
GSM2242476
[10]
GSM2242477
[11]
GSM2242478
[12]
GSM2242479
[13]
GSM2242480
[14]
GSM2242481
[15]
GSM2242482
[16]
GSM2242483
[17]
GSM2242484
[18]
GSM2242485
[19]
GSM2242486
[20]
GSM2242487
[21]
GSM2242488
[22]
GSM2242489
[23]
GSM2242490
[24]
GSM2242491
[25]
GSM2242492
[26]
GSM2242493
[27]
GSM2242494
[28]
GSM2242495
[29]
GSM2242496
[30]
GSM2242497
[31]
GSM2242498
[32]
GSM2242499
[33]
GSM2242500
[34]
GSM2242501
[35]
GSM2242502
[36]
GSM2242503
[37]
GSM2242504
[38]
GSM2242505
[39]
GSM2242506
[40]
GSM2242507
[41]
GSM2242508
[42]
GSM2242509
[43]
GSM2242510
[44]
GSM2242511
[45]
GSM2242512
[46]
GSM2242513
[47]
GSM2242514
[48]
GSM2242515
[49]
GSM2242516
[50]
GSM2242517
[51]
GSM2242518
[52]
GSM2242519
[53]
GSM2242520
[54]
GSM2242521
[55]
GSM2242522
[56]
GSM2242523
[57]
GSM2242524
[58]
GSM2242525
[59]
GSM2242526
[60]
GSM2242527
[61]
GSM2242528
[62]
GSM2242529
[63]
GSM2242530
[64]
GSM2242531
[65]
GSM2242532
sample_count
66
group_sizes
null
group_sizes_basis
null
platform
10558
taxon
Homo sapiens
title
Adverse genomic alterations and stemness features are induced by field cancerization in the microenvironment of hepatocellular carcinomas
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[27] object · 15 fields
id
data:geo:GSE87630
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE87630
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE87630
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 94 items
[0]
GSM2335922
[1]
GSM2335923
[2]
GSM2335924
[3]
GSM2335925
[4]
GSM2335926
[5]
GSM2335927
[6]
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[7]
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[8]
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[9]
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[10]
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[12]
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[30]
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[34]
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[39]
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[41]
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[42]
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[44]
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[46]
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[47]
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[49]
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[50]
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[51]
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[52]
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[53]
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[54]
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[55]
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[57]
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[58]
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[59]
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[60]
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[61]
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[62]
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[63]
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[64]
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[65]
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[67]
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[68]
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[70]
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[74]
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[75]
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[76]
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[78]
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[79]
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[82]
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[83]
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[84]
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[89]
GSM2336011
[90]
GSM2336012
[91]
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[92]
GSM2336014
[93]
GSM2336015
sample_count
94
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null
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null
platform
6947
taxon
Homo sapiens
title
Integrated analysis of genomic and epigenomic regulation of transcriptome identifies molecular subtypes of liver cancer (gene expression)
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
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[28] object · 15 fields
id
data:geo:GSE89377
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We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
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GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 107 items
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GSM2367554
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[23]
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[24]
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[26]
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[28]
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GSM2367583
[30]
GSM2367584
[31]
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[32]
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[33]
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[34]
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[36]
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[39]
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[42]
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[44]
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[46]
GSM2367600
[47]
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[48]
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[51]
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[52]
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[53]
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[54]
GSM2367608
[55]
GSM2367609
[56]
GSM2367610
[57]
GSM2367611
[58]
GSM2367612
[59]
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[60]
GSM2367614
[61]
GSM2367615
[62]
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[63]
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[64]
GSM2367618
[65]
GSM2367619
[66]
GSM2367620
[67]
GSM2367621
[68]
GSM2367622
[69]
GSM2367623
[70]
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[71]
GSM2367625
[72]
GSM2367626
[73]
GSM2367627
[74]
GSM2367628
[75]
GSM2367629
[76]
GSM2367630
[77]
GSM2367631
[78]
GSM2367632
[79]
GSM2367633
[80]
GSM2367634
[81]
GSM2367635
[82]
GSM2367636
[83]
GSM2367637
[84]
GSM2367638
[85]
GSM2367639
[86]
GSM2367640
[87]
GSM2367641
[88]
GSM2367642
[89]
GSM2367643
[90]
GSM2367644
[91]
GSM2367645
[92]
GSM2367646
[93]
GSM2367647
[94]
GSM2367648
[95]
GSM2367649
[96]
GSM2367650
[97]
GSM2367651
[98]
GSM2367652
[99]
GSM2367653
[100]
GSM2367654
[101]
GSM2367655
[102]
GSM2367656
[103]
GSM2367657
[104]
GSM2367658
[105]
GSM2367659
[106]
GSM2367660
sample_count
107
group_sizes
null
group_sizes_basis
null
platform
6947
taxon
Homo sapiens
title
Identifying novel drivers of human hepatocellular carcinoma and revealing clinical relevance as early diagnostic and prognostic biomarker
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[29] object · 15 fields
id
data:geo:GSE98383
role
raw
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geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE98383
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null
bytes
null
access
open
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null
reader_status
reader_required
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GSE98383
version
null
note
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
access_statement_kind
data_availability_statement
sample_accessions array · 74 items
[0]
GSM2593011
[1]
GSM2593012
[2]
GSM2593013
[3]
GSM2593014
[4]
GSM2593015
[5]
GSM2593016
[6]
GSM2593017
[7]
GSM2593018
[8]
GSM2593019
[9]
GSM2593020
[10]
GSM2593021
[11]
GSM2593022
[12]
GSM2593023
[13]
GSM2593024
[14]
GSM2593025
[15]
GSM2593026
[16]
GSM2593027
[17]
GSM2593028
[18]
GSM2593029
[19]
GSM2593030
[20]
GSM2593031
[21]
GSM2593032
[22]
GSM2593033
[23]
GSM2593034
[24]
GSM2593035
[25]
GSM2593036
[26]
GSM2593037
[27]
GSM2593038
[28]
GSM2593039
[29]
GSM2593040
[30]
GSM2593041
[31]
GSM2593042
[32]
GSM2593043
[33]
GSM2593044
[34]
GSM2593045
[35]
GSM2593046
[36]
GSM2593047
[37]
GSM2593048
[38]
GSM2593049
[39]
GSM2593050
[40]
GSM2593051
[41]
GSM2593052
[42]
GSM2593053
[43]
GSM2593054
[44]
GSM2593055
[45]
GSM2593056
[46]
GSM2593057
[47]
GSM2593058
[48]
GSM2593059
[49]
GSM2593060
[50]
GSM2593061
[51]
GSM2593062
[52]
GSM2593063
[53]
GSM2593064
[54]
GSM2593065
[55]
GSM2593066
[56]
GSM2593067
[57]
GSM2593068
[58]
GSM2593069
[59]
GSM2593070
[60]
GSM2593071
[61]
GSM2593072
[62]
GSM2593073
[63]
GSM2593074
[64]
GSM2593075
[65]
GSM2593076
[66]
GSM2593077
[67]
GSM2593078
[68]
GSM2593079
[69]
GSM2593080
[70]
GSM2593081
[71]
GSM2593082
[72]
GSM2593083
[73]
GSM2593084
sample_count
74
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Molecular Signature of Hepatitis D Virus-Associated Hepatocellular Carcinoma
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
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[30] object · 16 fields
id
asset:table:pmid:31998366:1
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table
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jats-table
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application/vnd.jats.table+json
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null
sha256
sha256:d217de27dabc753d46dae6ae6445bb40113825589e8fce9fff2aa8ad512f2c9e
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read_table
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section[18]/table-wrap[1]#T1
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null
note
List of overlapping 26 genes that are differentially expressed (Core DEGs for HCC) between HCC and adjacent normal or adjacent non-tumor samples with Bonferroni p-values < 0.01.
structure object · 5 fields
pmcid
PMC6967266
section_index
18
section_title
Identification of the Transcriptomic Cores
row_count
27
column_count
9
table object · 8 fields
label
Table1
caption
List of overlapping 26 genes that are differentially expressed (Core DEGs for HCC) between HCC and adjacent normal or adjacent non-tumor samples with Bonferroni p-values < 0.01.
rows array · 27 items
[0] array · 9 items
[0]
Gene
[1]
#Up
[2]
#Down
[3]
#Sig
[4]
#Non-sig
[5]
Up (%)
[6]
Down (%)
[7]
Sig (%)
[8]
Regulation
[1] array · 9 items
[0]
FCN3
[1]
1
[2]
26
[3]
24
[4]
3
[5]
3.70
[6]
96.30
[7]
88.89
[8]
Down
[2] array · 9 items
[0]
CLEC4M
[1]
2
[2]
25
[3]
24
[4]
3
[5]
7.41
[6]
92.59
[7]
88.89
[8]
Down
[3] array · 9 items
[0]
FCN2
[1]
2
[2]
25
[3]
24
[4]
3
[5]
7.41
[6]
92.59
[7]
88.89
[8]
Down
[4] array · 9 items
[0]
MARCO
[1]
3
[2]
24
[3]
22
[4]
5
[5]
11.11
[6]
88.89
[7]
81.48
[8]
Down
[5] array · 9 items
[0]
CRHBP
[1]
2
[2]
25
[3]
22
[4]
5
[5]
7.41
[6]
92.59
[7]
81.48
[8]
Down
[6] array · 9 items
[0]
CFP
[1]
2
[2]
25
[3]
22
[4]
5
[5]
7.41
[6]
92.59
[7]
81.48
[8]
Down
[7] array · 9 items
[0]
STEAP3
[1]
2
[2]
25
[3]
25
[4]
2
[5]
7.41
[6]
92.59
[7]
92.59
[8]
Down
[8] array · 9 items
[0]
HGFAC
[1]
4
[2]
23
[3]
22
[4]
5
[5]
14.81
[6]
85.19
[7]
81.48
[8]
Down
[9] array · 9 items
[0]
CLEC1B
[1]
2
[2]
25
[3]
23
[4]
4
[5]
7.41
[6]
92.59
[7]
85.19
[8]
Down
[10] array · 9 items
[0]
CXCL12
[1]
3
[2]
24
[3]
24
[4]
3
[5]
11.11
[6]
88.89
[7]
88.89
[8]
Down
[11] array · 9 items
[0]
MT1E
[1]
3
[2]
24
[3]
24
[4]
3
[5]
11.11
[6]
88.89
[7]
88.89
[8]
Down
[12] array · 9 items
[0]
NSUN5
[1]
25
[2]
2
[3]
24
[4]
3
[5]
92.59
[6]
7.41
[7]
88.89
[8]
Down
[13] array · 9 items
[0]
MCM7
[1]
24
[2]
3
[3]
24
[4]
3
[5]
88.89
[6]
11.11
[7]
88.89
[8]
Up
[14] array · 9 items
[0]
MCM3
[1]
24
[2]
3
[3]
24
[4]
3
[5]
88.89
[6]
11.11
[7]
88.89
[8]
Up
[15] array · 9 items
[0]
ITGA6
[1]
24
[2]
3
[3]
24
[4]
3
[5]
88.89
[6]
11.11
[7]
88.89
[8]
Up
[16] array · 9 items
[0]
SSR2
[1]
24
[2]
3
[3]
23
[4]
4
[5]
88.89
[6]
11.11
[7]
85.19
[8]
Up
[17] array · 9 items
[0]
STMN1
[1]
23
[2]
4
[3]
24
[4]
3
[5]
85.19
[6]
14.81
[7]
88.89
[8]
Up
[18] array · 9 items
[0]
PRC1
[1]
24
[2]
3
[3]
23
[4]
4
[5]
88.89
[6]
11.11
[7]
85.19
[8]
Up
[19] array · 9 items
[0]
POLD1
[1]
24
[2]
3
[3]
23
[4]
4
[5]
88.89
[6]
11.11
[7]
85.19
[8]
Up
[20] array · 9 items
[0]
PBK
[1]
24
[2]
3
[3]
24
[4]
3
[5]
88.89
[6]
11.11
[7]
88.89
[8]
Up
[21] array · 9 items
[0]
IGSF3
[1]
22
[2]
5
[3]
23
[4]
4
[5]
81.48
[6]
18.52
[7]
85.19
[8]
Up
[22] array · 9 items
[0]
DTL
[1]
24
[2]
3
[3]
22
[4]
5
[5]
88.89
[6]
11.11
[7]
81.48
[8]
Up
[23] array · 9 items
[0]
ZWINT
[1]
24
[2]
3
[3]
22
[4]
5
[5]
88.89
[6]
11.11
[7]
81.48
[8]
Up
[24] array · 9 items
[0]
SPATS2
[1]
24
[2]
3
[3]
24
[4]
3
[5]
88.89
[6]
11.11
[7]
88.89
[8]
Up
[25] array · 9 items
[0]
GPSM2
[1]
23
[2]
4
[3]
23
[4]
4
[5]
85.19
[6]
14.81
[7]
85.19
[8]
Up
[26] array · 9 items
[0]
COL15A1
[1]
24
[2]
3
[3]
22
[4]
5
[5]
88.89
[6]
11.11
[7]
81.48
[8]
Up
row_count
27
column_count
9
numeric_cells
184
header_rows
0
locator
section[18]/table-wrap[1]#T1
[31] object · 16 fields
id
asset:table:pmid:31998366:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:228d69fe47f9330d86d891d481688b0ec89f33f0061520527584cbac2b013fa6
bytes
1099
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[21]/table-wrap[1]#T2
version
null
note
Top 10 genes based on the simple threshold-based approach.
structure object · 5 fields
pmcid
PMC6967266
section_index
21
section_title
Single-Gene Based Prediction Models
row_count
11
column_count
10
table object · 8 fields
label
Table 2
caption
Top 10 genes based on the simple threshold-based approach.
rows array · 11 items
[0] array · 10 items
[0]
Gene symbol
[1]
Thresh
[2]
Sens (%)
[3]
Spec (%)
[4]
Acc (%)
[5]
MCC
[6]
AUROC
[7]
Mean in HCC
[8]
Mean in normal
[9]
Mean diff
[1] array · 10 items
[0]
FCN2
[1]
9.78
[2]
97.76
[3]
99.59
[4]
98.63
[5]
0.97
[6]
0.98
[7]
5.76
[8]
10.89
[9]
–5.13
[2] array · 10 items
[0]
CLEC4M
[1]
7.59
[2]
97.01
[3]
98.77
[4]
97.85
[5]
0.96
[6]
0.98
[7]
4.32
[8]
9.37
[9]
–5.06
[3] array · 10 items
[0]
FCN3
[1]
10.76
[2]
95.15
[3]
99.18
[4]
97.06
[5]
0.94
[6]
0.97
[7]
7.87
[8]
12.32
[9]
–4.45
[4] array · 10 items
[0]
CLEC1B
[1]
9.46
[2]
95.52
[3]
97.94
[4]
96.67
[5]
0.93
[6]
0.97
[7]
5.96
[8]
11.38
[9]
–5.42
[5] array · 10 items
[0]
CFP
[1]
8.14
[2]
96.64
[3]
94.24
[4]
95.50
[5]
0.91
[6]
0.96
[7]
6.15
[8]
8.63
[9]
–2.48
[6] array · 10 items
[0]
CRHBP
[1]
8.69
[2]
92.54
[3]
96.71
[4]
94.52
[5]
0.89
[6]
0.95
[7]
6.35
[8]
10.30
[9]
–3.95
[7] array · 10 items
[0]
PRC1
[1]
7.76
[2]
91.42
[3]
97.12
[4]
94.13
[5]
0.88
[6]
0.94
[7]
10.03
[8]
6.35
[9]
3.68
[8] array · 10 items
[0]
PBK
[1]
6.03
[2]
91.04
[3]
93.42
[4]
92.17
[5]
0.84
[6]
0.93
[7]
8.65
[8]
4.41
[9]
4.24
[9] array · 10 items
[0]
DTL
[1]
6.71
[2]
85.82
[3]
94.65
[4]
90.02
[5]
0.80
[6]
0.91
[7]
8.72
[8]
5.20
[9]
3.52
[10] array · 10 items
[0]
IGSF3
[1]
6.93
[2]
81.34
[3]
91.77
[4]
86.30
[5]
0.73
[6]
0.88
[7]
8.10
[8]
6.08
[9]
2.01
row_count
11
column_count
10
numeric_cells
90
header_rows
0
locator
section[21]/table-wrap[1]#T2
[32] object · 16 fields
id
asset:table:pmid:31998366:3
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table
format
jats-table
media_type
application/vnd.jats.table+json
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null
sha256
sha256:2635c79cf5a659ade98459f9b3e986bd0fa95b22adad0277a2b65516f8c39b44
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1791
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read_table
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identifier
section[22]/table-wrap[1]#T3
version
null
note
Performance of five genes (FCN3, CLEC4M, CLEC1B, PRC1, PBK) based models on training and validation datasets implementing various machine learning techniques.
structure object · 5 fields
pmcid
PMC6967266
section_index
22
section_title
Multiple-Genes Based Prediction Models
row_count
15
column_count
11
table object · 8 fields
label
Table 3
caption
Performance of five genes (FCN3, CLEC4M, CLEC1B, PRC1, PBK) based models on training and validation datasets implementing various machine learning techniques.
rows array · 15 items
[0] array · 11 items
[0]
Classifier
[1]
Sens (%)
[2]
Spec (%)
[3]
Acc (%)
[4]
MCC
[5]
AUROC with 95% CI
[6]
Sens (%)
[7]
Spec (%)
[8]
Acc (%)
[9]
MCC
[10]
AUROC with 95% CI
[1] array · 3 items
[0]
[1]
Training Dataset
[2]
Validation Dataset1
[2] array · 11 items
[0]
ETREES
[1]
97.39
[2]
98.35
[3]
97.85
[4]
0.96
[5]
0.99 (0.99-1)
[6]
97.78
[7]
94.09
[8]
95.96
[9]
0.92
[10]
0.98 (0.97-0.99)
[3] array · 11 items
[0]
NB
[1]
97.76
[2]
99.18
[3]
98.43
[4]
0.97
[5]
0.99 (0.99-1)
[6]
97.33
[7]
95.45
[8]
96.40
[9]
0.93
[10]
0.98 (0.97-0.99)
[4] array · 11 items
[0]
KNN
[1]
97.39
[2]
98.77
[3]
98.04
[4]
0.96
[5]
0.99 (0.99-1)
[6]
96.89
[7]
96.82
[8]
96.85
[9]
0.94
[10]
0.98 (0.97-0.99)
[5] array · 11 items
[0]
RF
[1]
97.01
[2]
97.94
[3]
97.46
[4]
0.95
[5]
0.99 (0.99-1)
[6]
97.33
[7]
94.55
[8]
95.96
[9]
0.92
[10]
0.98 (0.97-0.99)
[6] array · 11 items
[0]
LR
[1]
97.76
[2]
99.59
[3]
98.63
[4]
0.97
[5]
0.99 (0.99-1)
[6]
95.56
[7]
97.27
[8]
96.40
[9]
0.93
[10]
0.99 (0.98-0.99)
[7] array · 11 items
[0]
SVC
[1]
97.01
[2]
100
[3]
98.43
[4]
0.97
[5]
0.99 (0.99-1)
[6]
96.89
[7]
95.00
[8]
95.96
[9]
0.92
[10]
0.99 (0.98-0.99)
[8] array · 3 items
[0]
[1]
Validation Dataset2
[2]
Validation Dataset3
[9] array · 11 items
[0]
ETREES
[1]
95
[2]
97.41
[3]
96.07
[4]
0.92
[5]
0.98 (0.97-0.99)
[6]
97.86
[7]
96
[8]
97.64
[9]
0.89
[10]
0.99 (0.98-0.99)
[10] array · 11 items
[0]
NB
[1]
94.58
[2]
98.45
[3]
96.3
[4]
0.93
[5]
0.98 (0.96-0.99)
[6]
98.13
[7]
92
[8]
97.41
[9]
0.88
[10]
0.98 (0.98-0.99)
[11] array · 11 items
[0]
KNN
[1]
92.92
[2]
98.45
[3]
95.38
[4]
0.91
[5]
0.97 (0.96-0.99)
[6]
97.86
[7]
94
[8]
97.41
[9]
0.88
[10]
0.99 (0.98-0.99)
[12] array · 11 items
[0]
RF
[1]
96.67
[2]
93.26
[3]
95.15
[4]
0.9
[5]
0.98 (0.97-0.99)
[6]
98.4
[7]
90
[8]
97.41
[9]
0.88
[10]
0.99 (0.98-0.99)
[13] array · 11 items
[0]
LR
[1]
93.75
[2]
98.45
[3]
95.84
[4]
0.92
[5]
0.98 (0.97-0.99)
[6]
97.59
[7]
98
[8]
97.64
[9]
0.90
[10]
0.99 (0.98-0.99)
[14] array · 11 items
[0]
SVC-RBF
[1]
93.33
[2]
98.45
[3]
95.61
[4]
0.91
[5]
0.98 (0.97-0.99)
[6]
97.33
[7]
98
[8]
97.41
[9]
0.89
[10]
0.99 (0.98-0.99)
row_count
15
column_count
11
numeric_cells
122
header_rows
0
locator
section[22]/table-wrap[1]#T3
[33] object · 16 fields
id
asset:table:pmid:31998366:4
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:f23c93de966d1d45981a17204dff452c6cc9fbf3f4cd60a4a8d63b30c9c63e0b
bytes
1815
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[22]/table-wrap[2]#T4
version
null
note
Performance of three-genes HCC biomarker-A (FCN3, CLEC1B, PRC1) based models on training and validation datasets implementing various machine learning techniques.
structure object · 5 fields
pmcid
PMC6967266
section_index
22
section_title
Multiple-Genes Based Prediction Models
row_count
15
column_count
11
table object · 8 fields
label
Table 4
caption
Performance of three-genes HCC biomarker-A (FCN3, CLEC1B, PRC1) based models on training and validation datasets implementing various machine learning techniques.
rows array · 15 items
[0] array · 11 items
[0]
Classifier
[1]
Sens (%)
[2]
Spec (%)
[3]
Acc (%)
[4]
MCC
[5]
AUROC with 95% CI
[6]
Sens (%)
[7]
Spec (%)
[8]
Acc (%)
[9]
MCC
[10]
AUROC with 95% CI
[1] array · 3 items
[0]
[1]
Training Dataset
[2]
Validation Dataset1
[2] array · 11 items
[0]
ETREES
[1]
96.64
[2]
97.94
[3]
97.26
[4]
0.95
[5]
0.99 (0.98-0.99)
[6]
94.67
[7]
95.91
[8]
95.28
[9]
0.91
[10]
0.97 (0.96-0.99)
[3] array · 11 items
[0]
NB
[1]
97.39
[2]
99.18
[3]
98.24
[4]
0.96
[5]
0.99 (0.99-1.0)
[6]
96.00
[7]
95.91
[8]
95.96
[9]
0.92
[10]
0.98 (0.97-0.99)
[4] array · 11 items
[0]
KNN
[1]
97.76
[2]
98.77
[3]
98.24
[4]
0.96
[5]
0.99 (0.99-1.0)
[6]
93.78
[7]
97.73
[8]
95.73
[9]
0.92
[10]
0.97 (0.96-0.99)
[5] array · 11 items
[0]
RF
[1]
97.01
[2]
97.53
[3]
97.26
[4]
0.95
[5]
0.99 (0.99-1.0)
[6]
94.67
[7]
96.36
[8]
95.51
[9]
0.91
[10]
0.97 (0.96-0.99)
[6] array · 11 items
[0]
LR
[1]
93.28
[2]
100
[3]
96.48
[4]
0.93
[5]
0.99 (0.99-1.0)
[6]
92.89
[7]
97.73
[8]
95.28
[9]
0.91
[10]
0.98 (0.97-0.99)
[7] array · 11 items
[0]
SVC-RBF
[1]
94.03
[2]
100
[3]
96.87
[4]
0.94
[5]
0.99 (0.98-0.99)
[6]
96.00
[7]
96.82
[8]
96.40
[9]
0.93
[10]
0.98 (0.97-0.99)
[8] array · 3 items
[0]
[1]
Validation Dataset2
[2]
Validation Dataset3
[9] array · 11 items
[0]
ETREES
[1]
93.75
[2]
96.37
[3]
94.92
[4]
0.90
[5]
0.98 (0.97-0.99)
[6]
95.72
[7]
98
[8]
95.99
[9]
0.84
[10]
0.99 (0.98-0.99)
[10] array · 11 items
[0]
NB
[1]
94.58
[2]
98.45
[3]
96.3
[4]
0.93
[5]
0.98 (0.97-0.99)
[6]
98.13
[7]
82
[8]
96.23
[9]
0.82
[10]
0.96 (0.95-0.98)
[11] array · 11 items
[0]
KNN
[1]
95.83
[2]
97.93
[3]
96.77
[4]
0.94
[5]
0.98 (0.97-0.99)
[6]
97.59
[7]
96
[8]
97.41
[9]
0.88
[10]
0.99 (0.98-0.99)
[12] array · 11 items
[0]
RF
[1]
95.42
[2]
94.3
[3]
94.92
[4]
0.90
[5]
0.98 (0.97-0.99)
[6]
95.45
[7]
96
[8]
95.52
[9]
0.82
[10]
0.98 (0.97-0.99)
[13] array · 11 items
[0]
LR
[1]
95.42
[2]
98.45
[3]
96.77
[4]
0.94
[5]
0.99 (0.98-0.99)
[6]
97.33
[7]
98
[8]
97.41
[9]
0.89
[10]
0.99 (0.98-0.99)
[14] array · 11 items
[0]
SVC-RBF
[1]
93.33
[2]
97.93
[3]
95.38
[4]
0.91
[5]
0.98 (0.97-0.99)
[6]
96.79
[7]
98
[8]
96.93
[9]
0.87
[10]
0.99 (0.98-0.99)
row_count
15
column_count
11
numeric_cells
122
header_rows
0
locator
section[22]/table-wrap[2]#T4
[34] object · 16 fields
id
asset:table:pmid:31998366:5
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table
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jats-table
media_type
application/vnd.jats.table+json
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null
sha256
sha256:18227557085b171b633bb2bd623d6f8dbf3d626b0e869b58f048eb9f8d7217d6
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1126
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read_table
reader_status
available
identifier
section[23]/table-wrap[1]#T5
version
null
note
Performance of three-genes HCC biomarker-A (FCN3, CLEC1B, PRC1) based models on training and validation datasets 4 (containing blood samples, i.e., PBMCs) implementing various machine learning techniques.
structure object · 5 fields
pmcid
PMC6967266
section_index
23
section_title
Validation of Models on Blood Samples
row_count
8
column_count
11
table object · 8 fields
label
Table 5
caption
Performance of three-genes HCC biomarker-A (FCN3, CLEC1B, PRC1) based models on training and validation datasets 4 (containing blood samples, i.e., PBMCs) implementing various machine learning techniques.
rows array · 8 items
[0] array · 11 items
[0]
Classifier
[1]
Sens (%)
[2]
Spec (%)
[3]
Acc (%)
[4]
MCC
[5]
AUROC with 95% CI
[6]
Sens (%)
[7]
Spec (%)
[8]
Acc (%)
[9]
MCC
[10]
AUROC with 95% CI
[1] array · 3 items
[0]
[1]
Training Dataset
[2]
Validation Dataset4
[2] array · 11 items
[0]
ETREES
[1]
94.78
[2]
99.18
[3]
96.87
[4]
0.94
[5]
0.99 (0.979-0.998)
[6]
100
[7]
80
[8]
90
[9]
0.82
[10]
0.93 (0.854-1.0)
[3] array · 11 items
[0]
NB
[1]
97.39
[2]
99.18
[3]
98.24
[4]
0.96
[5]
0.99 (0.989-1.0)
[6]
90
[7]
90
[8]
90
[9]
0.80
[10]
0.95 (0.81-1.0)
[4] array · 11 items
[0]
KNN
[1]
97.01
[2]
99.59
[3]
98.24
[4]
0.97
[5]
0.99 (0.986-1.0)
[6]
90
[7]
90
[8]
90
[9]
0.80
[10]
0.96 (0.878-1.0)
[5] array · 11 items
[0]
RF
[1]
95.52
[2]
99.59
[3]
97.46
[4]
0.95
[5]
0.99 (0.991-1.0)
[6]
100
[7]
80
[8]
90
[9]
0.82
[10]
0.93 (0.81-1.0)
[6] array · 11 items
[0]
LR
[1]
96.64
[2]
100
[3]
98.24
[4]
0.97
[5]
0.99 (0.992-1.0)
[6]
90
[7]
90
[8]
90
[9]
0.80
[10]
0.96 (0.877-1.0)
[7] array · 11 items
[0]
SVC
[1]
95.15
[2]
99.18
[3]
97.06
[4]
0.94
[5]
0.99 (0.988-0.999)
[6]
90
[7]
90
[8]
90
[9]
0.80
[10]
0.91 (0.744-1.0)
row_count
8
column_count
11
numeric_cells
62
header_rows
0
locator
section[23]/table-wrap[1]#T5
gaps array · 58 items
[0]
asset:data:geo:GSE102079 not downloaded
[1]
asset:data:geo:GSE102079 licence not read
[2]
asset:data:geo:GSE107170 not downloaded
[3]
asset:data:geo:GSE107170 licence not read
[4]
asset:data:geo:GSE14323 not downloaded
[5]
asset:data:geo:GSE14323 licence not read
[6]
asset:data:geo:GSE14520 not downloaded
[7]
asset:data:geo:GSE14520 licence not read
[8]
asset:data:geo:GSE19665 not downloaded
[9]
asset:data:geo:GSE19665 licence not read
[10]
asset:data:geo:GSE22405 not downloaded
[11]
asset:data:geo:GSE22405 licence not read
[12]
asset:data:geo:GSE25097 not downloaded
[13]
asset:data:geo:GSE25097 licence not read
[14]
asset:data:geo:GSE29721 not downloaded
[15]
asset:data:geo:GSE29721 licence not read
[16]
asset:data:geo:GSE31370 not downloaded
[17]
asset:data:geo:GSE31370 licence not read
[18]
asset:data:geo:GSE32879 not downloaded
[19]
asset:data:geo:GSE32879 licence not read
[20]
asset:data:geo:GSE36076 not downloaded
[21]
asset:data:geo:GSE36076 licence not read
[22]
asset:data:geo:GSE36376 not downloaded
[23]
asset:data:geo:GSE36376 licence not read
[24]
asset:data:geo:GSE39791 not downloaded
[25]
asset:data:geo:GSE39791 licence not read
[26]
asset:data:geo:GSE45267 not downloaded
[27]
asset:data:geo:GSE45267 licence not read
[28]
asset:data:geo:GSE46408 not downloaded
[29]
asset:data:geo:GSE46408 licence not read
[30]
asset:data:geo:GSE51401 not downloaded
[31]
asset:data:geo:GSE51401 licence not read
[32]
asset:data:geo:GSE54236 not downloaded
[33]
asset:data:geo:GSE54236 licence not read
[34]
asset:data:geo:GSE57555 not downloaded
[35]
asset:data:geo:GSE57555 licence not read
[36]
asset:data:geo:GSE57957 not downloaded
[37]
asset:data:geo:GSE57957 licence not read
[38]
asset:data:geo:GSE62232 not downloaded
[39]
asset:data:geo:GSE62232 licence not read
[40]
asset:data:geo:GSE64041 not downloaded
[41]
asset:data:geo:GSE64041 licence not read
[42]
asset:data:geo:GSE65484 not downloaded
[43]
asset:data:geo:GSE65484 licence not read
[44]
asset:data:geo:GSE69715 not downloaded
[45]
asset:data:geo:GSE69715 licence not read
[46]
asset:data:geo:GSE76427 not downloaded
[47]
asset:data:geo:GSE76427 licence not read
[48]
asset:data:geo:GSE84402 not downloaded
[49]
asset:data:geo:GSE84402 licence not read
[50]
asset:data:geo:GSE84598 not downloaded
[51]
asset:data:geo:GSE84598 licence not read
[52]
asset:data:geo:GSE87630 not downloaded
[53]
asset:data:geo:GSE87630 licence not read
[54]
asset:data:geo:GSE89377 not downloaded
[55]
asset:data:geo:GSE89377 licence not read
[56]
asset:data:geo:GSE98383 not downloaded
[57]
asset:data:geo:GSE98383 licence not read
analysis object · 4 fields
state
complete
methods array · 3 items
[0] object · 10 fields
id
method-1
family
group_comparison
specific
welch_t_test
label
Group comparison
dsl_operations array · 1 item
[0]
welch_t
missing_operations array · 0 items
expressible
true
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
1
band
verbatim
quote
Each gene in 32 datasets was analyzed for differential expression using Student’s t-test (Welch t-test and Wilcoxon t-test).
[1] object · 10 fields
id
method-2
family
group_comparison
specific
wilcoxon
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_wilcoxon
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
band
high
quote
Wilcoxon
[2] object · 10 fields
id
method-3
family
diagnostic_evaluation
specific
roc
label
Diagnostic test evaluation
dsl_operations array · 6 items
[0]
confusion_counts
[1]
roc_curve
[2]
sensitivity_specificity
[3]
solve_confusion_matrix
[4]
classification_metrics
[5]
published_precision_envelope
missing_operations array · 0 items
expressible
true
parameters object · 0 fields
data_shapes array · 1 item
[0]
reference_standard_and_test
evidence object · 3 fields
score
0.7
band
medium
quote
AUROC
targets array · 0 items
gaps array · 0 items
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
availability_state
owned
tier_unlocked
R1
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocking_axis
none
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
welch_t
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: welch_t_test.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
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GSE54236
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GSE65484
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GSE31370
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GSE84598
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GSE89377
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GSE29721
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GSE14323
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GSE102079
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GSE51401
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GSE62232
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We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).
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Each gene in 32 datasets was analyzed for differential expression using Student’s t-test (Welch t-test and Wilcoxon t-test).
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Complete file 
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:31998366", "kind": "science-record", "revision": 8, "content_hash": "sha256:8207f1b9b7c2754235b0e7c7a6023077a4d097e36ce926cc60c20cc10626180b", "created_at": "2026-11-01T15:40:55Z", "updated_at": "2026-11-01T22:44:31Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of Platform-Independent Diagnostic Biomarker Panel for Hepatocellular Carcinoma Using Large-Scale Transcriptomics Data.", "doi": "10.3389/fgene.2019.01306", "pmid": "31998366", "authors": ["Harpreet Kaur", "Anjali Dhall", "Rajesh Kumar", "Gajendra P S Raghava"], "journal": "Frontiers in genetics", "year": 2019, "abstract": "The high mortality rate of hepatocellular carcinoma (HCC) is primarily due to its late diagnosis. In the past, numerous attempts have been made to design genetic biomarkers for the identification of HCC; unfortunately, most of the studies are based on small datasets obtained from a specific platform or lack reasonable validation performance on the external datasets. In order to identify a universal expression-based diagnostic biomarker panel for HCC that can be applicable across multiple platforms, we have employed large-scale transcriptomic profiling datasets containing a total of 2,316 HCC and 1,665 non-tumorous tissue samples. These samples were obtained from 30 studies generated by mainly four types of profiling techniques (Affymetrix, Illumina, Agilent, and High-throughput sequencing), which are implemented in a wide range of platforms. Firstly, we scrutinized overlapping 26 genes that are differentially expressed in numerous datasets. Subsequently, we identified a panel of three genes (FCN3, CLEC1B, and PRC1) as HCC biomarker using different feature selection techniques. Three-genes-based HCC biomarker identified HCC samples in training/validation datasets with an accuracy between 93 and 98%, Area Under Receiver Operating Characteristic curve (AUROC) in a range of 0.97 to 1.0. A reasonable performance, i.e., AUROC 0.91-0.96 achieved on validation dataset containing peripheral blood mononuclear cells, concurred their non-invasive utility. Furthermore, the prognostic potential of these genes was evaluated on TCGA-LIHC and GSE14520 cohorts using univariate survival analysis. This analysis revealed that these genes are prognostic indicators for various types of the survivals of HCC patients (e.g., Overall Survival, Progression-Free Survival, Disease-Free Survival). These genes significantly stratified high-risk and low-risk HCC patients (p-value <0.05). In conclusion, we identified a universal platform-independent three-genes-based biomarker that can predict HCC patients with high precision and also possess significant prognostic potential. Eventually, we developed a web server HCCpred based on the above study to facilitate scientific community (http://webs.iiitd.edu.in/raghava/hccpred/).", "claims": [{"id": "claim-method", "statement": "Each gene in 32 datasets was analyzed for differential expression using Student’s t-test (Welch t-test and Wilcoxon t-test).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31998366", "locator": "sections[8] \"Identification of Differentially Expressed Genes\" paragraph 2", "quote": "Each gene in 32 datasets was analyzed for differential expression using Student’s t-test (Welch t-test and Wilcoxon t-test)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31998366", "locator": "sections[32] \"Data Availability Statement\" paragraph 2", "quote": "We have taken the Gene-expression data from the public repositories, i.e., GEO (https://www.ncbi.nlm.nih.gov/geo/) and GDC data portal (https://portal.gdc.cancer.gov/)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:31998366"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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