Corpus Engine Towards a reproducible .science file.
← All .science files

pmid:29556287

Increased mediator complex subunit 15 expression is associated with poor prognosis in hepatocellular carcinoma.

Kunyuan Wang · Chenxi Duan · Xuejing Zou · Yang Song · Wenwen Li · Lushan Xiao · Jie Peng · Liheng Yao · Qian Long · Li Liu

Oncology letters · 2018 doi:10.3892/ol.2018.7820

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:29556287
kind
science-record
content_hash
sha256:c7086a83437fd0b65bc9c3b512c08499eb0fe632f5cf55d692719719051671d1
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:40:32Z
updated_at
2026-11-01T22:43:19Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Increased mediator complex subunit 15 expression is associated with poor prognosis in hepatocellular carcinoma.
doi
10.3892/ol.2018.7820
pmid
29556287
authors array · 10 items
[0]
Kunyuan Wang
[1]
Chenxi Duan
[2]
Xuejing Zou
[3]
Yang Song
[4]
Wenwen Li
[5]
Lushan Xiao
[6]
Jie Peng
[7]
Liheng Yao
[8]
Qian Long
[9]
Li Liu
journal
Oncology letters
year
2018
abstract
Mediator complex subunit 15 (MED15) is a coactivator involved in the regulated transcription of RNA polymerase II-dependent genes and serves an oncogenic role in numerous types of cancer. However, the expression and function of MED15 in hepatocellular carcinoma (HCC) remain unknown. In the present study, the aim was to investigate the expression and clinical significance of MED15 in HCC. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and immunohistochemical analysis revealed that MED15 mRNA and protein levels were significantly upregulated in HCC tissues compared with those in the corresponding adjacent non-tumor liver tissues. Furthermore, analyzing data from The Cancer Genome Atlas-Liver Hepatocellular Carcinoma (TCGA-LIHC) and GSE14520 datasets revealed a significant correlation between MED15 expression and the tumor size (P=0.033), Barcelona Clinic Liver Cancer stage (P=0.031), α-fetoprotein levels (P=0.002) and metastasis risk (P=0.001). Furthermore, patients with high MED15 expression levels had a shorter survival time compared with those with low MED15 expression levels (P<0.05). Univariate and multivariate analyses further revealed that MED15 may be an independent prognostic factor for the overall survival of HCC patients (hazard ratio, 1.762; 95% confidence interval, 1.077-2.882; P<0.05). In addition, MED15 expression was positively associated with hypoxia-inducible factor 1α expression in the TCGA-LIHC and GSE14520 datasets (P<0.01). In conclusion, the data reported in the present study indicated that MED15 is overexpressed in HCC and may represent a novel prognostic biomarker for patients with HCC.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
Kaplan-Meier and log-rank test analyses were employed to test for an association between MED15 expression and the OS or DFS of the patients.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:29556287
locator
sections[16] "MED15 expression levels predict the clinical outcome of patients with HCC" paragraph 2
quote
Kaplan-Meier and log-rank test analyses were employed to test for an association between MED15 expression and the OS or DFS of the patients.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
In order to investigate the role of MED15 expression in HCC, the current study analyzed the TCGA-LIHC dataset (http://www.cbioportal.org/data_sets.jsp) that contains 331 HCC cases and the GSE14520 dataset (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14520) that provides 246 HCC cases (hereafter defined as the TCGA-LIHC and GSE14520 cohorts, respectively). These datasets comprise follow-up information for patients and gene expression data.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:29556287
locator
sections[8] "TCGA-LIHC and GSE14520 datasets, Oncomine gene expression array" paragraph 2
quote
In order to investigate the role of MED15 expression in HCC, the current study analyzed the TCGA-LIHC dataset (http://www.cbioportal.org/data_sets.jsp) that contains 331 HCC cases and the GSE14520 dataset (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14520) that provides 246 HCC cases (hereafter defined as the TCGA-LIHC and GSE14520 cohorts, respectively). These datasets comprise follow-up information for patients and gene expression data.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
MED15 mRNA and protein expression were significantly upregulated in HCC tissues, and high MED15 expression was associated with poor prognosis; the study used RT-qPCR and immunohistochemical analysis of tissue specimens and analyzed the TCGA-LIHC and GSE14520 datasets for clinicopathological and survival associations.
kind
qualitative
target
null
evidence array · 3 items
[0] object · 3 fields
asset
source:pmid:29556287
locator
sections[0] "Abstract" paragraph 1
quote
Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and immunohistochemical analysis revealed that MED15 mRNA and protein levels were significantly upregulated in HCC tissues compared with those in the corresponding adjacent non-tumor liver tissues.
[1] object · 3 fields
asset
source:pmid:29556287
locator
sections[0] "Abstract" paragraph 1
quote
Furthermore, analyzing data from The Cancer Genome Atlas-Liver Hepatocellular Carcinoma (TCGA-LIHC) and GSE14520 datasets revealed a significant correlation between MED15 expression and the tumor size (P=0.033), Barcelona Clinic Liver Cancer stage (P=0.031), α-fetoprotein levels (P=0.002) and metastasis risk (P=0.001).
[2] object · 3 fields
asset
source:pmid:29556287
locator
sections[0] "Abstract" paragraph 1
quote
In conclusion, the data reported in the present study indicated that MED15 is overexpressed in HCC and may represent a novel prognostic biomarker for patients with HCC.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
MED15 mRNA and protein expression were significantly upregulated in HCC tissues, and high MED15 expression was associated with poor prognosis; the study used RT-qPCR and immunohistochemical analysis of tissue specimens and analyzed the TCGA-LIHC and GSE14520 datasets for clinicopathological and survival associations.
steps array · 3 items
[0] object · 13 fields
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.
parameters object · 0 fields
inputs array · 1 item
[0]
source:pmid:29556287
outputs array · 1 item
[0]
the published estimate and its evidence
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
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. This lane did not download the dataset or read its licence.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE14520
outputs array · 1 item
[0]
the source data with its repository provenance
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
id
run_analysis
order
3
name
Run the published analysis
kind
analysis
state
complete
blocked_on
null
description
Apply the paper's statistical method to the resolved series and compare the result with the published target.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE14520
outputs array · 1 item
[0]
the replicated result and its comparison
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 0 items
data object · 3 fields
state
partial
assets array · 6 items
[0] object · 15 fields
id
source:pmid:29556287
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.3892/ol.2018.7820
sha256
sha256:c645ea2e7e3cf60ad75f4b62b2153c438a9cb187284f27d6fdf7d9b3a7ea0dc5
bytes
36608
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.3892/ol.2018.7820
version
null
note
Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
structure object · 4 fields
pmcid
PMC5844107
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] 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
In order to investigate the role of MED15 expression in HCC, the current study analyzed the TCGA-LIHC dataset (http://www.cbioportal.org/data_sets.jsp) that contains 331 HCC cases and the GSE14520 dataset (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14520) that provides 246 HCC cases (hereafter defined as the TCGA-LIHC and GSE14520 cohorts, respectively). These datasets comprise follow-up information for patients and gene expression data.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
In order to investigate the role of MED15 expression in HCC, the current study analyzed the TCGA-LIHC dataset (http://www.cbioportal.org/data_sets.jsp) that contains 331 HCC cases and the GSE14520 dataset (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14520) that provides 246 HCC cases (hereafter defined as the TCGA-LIHC and GSE14520 cohorts, respectively). These datasets comprise follow-up information for patients and gene expression data.
access_statement_kind
repository_route_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
[2] object · 16 fields
id
asset:table:pmid:29556287:1
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:a07fc6c3ca87dcff904f4ed048da2b72687b42a48f4c9431a96c2a1e47d0a3b4
bytes
1561
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[15]/table-wrap[1]#tI-ol-0-0-7820
version
null
note
Correlation between MED15 expression and hepatocellular carcinoma clinicopathological features in The Cancer Genome Atlas-Liver Hepatocellular Carcinoma cohort.
structure object · 5 fields
pmcid
PMC5844107
section_index
15
section_title
Correlation between MED15 expression and clinicopathological characteristics of HCC
row_count
38
column_count
5
table object · 8 fields
label
Table I.
caption
Correlation between MED15 expression and hepatocellular carcinoma clinicopathological features in The Cancer Genome Atlas-Liver Hepatocellular Carcinoma cohort.
rows array · 38 items
[0] array · 4 items
[0]
[1]
[2]
MED15 expression, n
[3]
[1] array · 4 items
[0]
[1]
[2]
[3]
[2] array · 5 items
[0]
Variable
[1]
Total, n
[2]
High
[3]
Low
[4]
P-value
[3] array · 5 items
[0]
Sex
[1]
331
[2]
[3]
[4]
0.584
[4] array · 5 items
[0]
Male
[1]
219
[2]
140
[3]
79
[4]
[5] array · 5 items
[0]
Female
[1]
112
[2]
75
[3]
37
[4]
[6] array · 5 items
[0]
Age (years)
[1]
331
[2]
[3]
[4]
0.139
[7] array · 5 items
[0]
≤50
[1]
66
[2]
48
[3]
18
[4]
[8] array · 5 items
[0]
>50
[1]
265
[2]
167
[3]
98
[4]
[9] array · 5 items
[0]
Family cancer history
[1]
288
[2]
[3]
[4]
0.106
[10] array · 5 items
[0]
Yes
[1]
104
[2]
62
[3]
42
[4]
[11] array · 5 items
[0]
No
[1]
184
[2]
127
[3]
57
[4]
[12] array · 5 items
[0]
Lymphocyte infiltration
[1]
212
[2]
[3]
[4]
0.455
[13] array · 5 items
[0]
Absent
[1]
106
[2]
59
[3]
47
[4]
[14] array · 5 items
[0]
Mild
[1]
91
[2]
60
[3]
31
[4]
[15] array · 5 items
[0]
Severe
[1]
15
[2]
7
[3]
8
[4]
[16] array · 5 items
[0]
Vascular tumor cell invasion
[1]
278
[2]
[3]
[4]
0.123
[17] array · 5 items
[0]
None
[1]
183
[2]
109
[3]
74
[4]
[18] array · 5 items
[0]
Micro
[1]
82
[2]
52
[3]
30
[4]
[19] array · 5 items
[0]
Macro
[1]
13
[2]
12
[3]
1
[4]
[20] array · 5 items
[0]
Neoplasm grade
[1]
326
[2]
[3]
[4]
0.005a
[21] array · 5 items
[0]
G1+G2
[1]
207
[2]
123
[3]
84
[4]
[22] array · 5 items
[0]
G3+G4
[1]
119
[2]
89
[3]
30
[4]
[23] array · 5 items
[0]
Pathologic stage
[1]
310
[2]
[3]
[4]
0.544
[24] array · 5 items
[0]
I+II
[1]
226
[2]
145
[3]
81
[4]
[25] array · 5 items
[0]
III+IV
[1]
84
[2]
57
[3]
27
[4]
[26] array · 5 items
[0]
AFP level (ng/ml)
[1]
245
[2]
[3]
[4]
<0.001a
[27] array · 5 items
[0]
<400
[1]
189
[2]
110
[3]
79
[4]
[28] array · 5 items
[0]
≥400
[1]
56
[2]
47
[3]
9
[4]
[29] array · 5 items
[0]
Child-Pugh classification grade
[1]
208
[2]
[3]
[4]
0.658
[30] array · 5 items
[0]
A
[1]
188
[2]
113
[3]
75
[4]
[31] array · 5 items
[0]
B+C
[1]
20
[2]
11
[3]
9
[4]
[32] array · 5 items
[0]
Liver fibrosis Ishak score
[1]
191
[2]
[3]
[4]
0.891
[33] array · 5 items
[0]
≤4
[1]
123
[2]
70
[3]
53
[4]
[34] array · 5 items
[0]
>4
[1]
68
[2]
38
[3]
30
[4]
[35] array · 5 items
[0]
Relapse
[1]
330
[2]
[3]
[4]
0.390
[36] array · 5 items
[0]
Yes
[1]
133
[2]
83
[3]
50
[4]
[37] array · 5 items
[0]
No
[1]
197
[2]
132
[3]
65
[4]
locator
section[15]/table-wrap[1]#tI-ol-0-0-7820
[3] object · 16 fields
id
asset:table:pmid:29556287:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:feb5df833254d175918ac0fb03fd59c8dd516359e07c3f8063bdde84bc8531d4
bytes
1303
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[15]/table-wrap[2]#tII-ol-0-0-7820
version
null
note
Correlation between MED15 expression and hepatocellular carcinoma clinicopathological features in the GSE14520 cohort.
structure object · 5 fields
pmcid
PMC5844107
section_index
15
section_title
Correlation between MED15 expression and clinicopathological characteristics of HCC
row_count
33
column_count
5
table object · 8 fields
label
Table II.
caption
Correlation between MED15 expression and hepatocellular carcinoma clinicopathological features in the GSE14520 cohort.
rows array · 33 items
[0] array · 4 items
[0]
[1]
[2]
MED15 expression, n
[3]
[1] array · 4 items
[0]
[1]
[2]
[3]
[2] array · 5 items
[0]
Variable
[1]
Total, n
[2]
High
[3]
Low
[4]
P-value
[3] array · 5 items
[0]
Sex
[1]
241
[2]
[3]
[4]
0.756
[4] array · 5 items
[0]
Male
[1]
210
[2]
148
[3]
62
[4]
[5] array · 5 items
[0]
Female
[1]
31
[2]
21
[3]
10
[4]
[6] array · 5 items
[0]
Age (years)
[1]
241
[2]
[3]
[4]
0.768
[7] array · 5 items
[0]
≤50
[1]
124
[2]
88
[3]
36
[4]
[8] array · 5 items
[0]
>50
[1]
117
[2]
81
[3]
36
[4]
[9] array · 5 items
[0]
No. of tumors
[1]
241
[2]
[3]
[4]
0.455
[10] array · 5 items
[0]
Solitary
[1]
189
[2]
129
[3]
60
[4]
[11] array · 5 items
[0]
Multiple
[1]
52
[2]
40
[3]
12
[4]
[12] array · 5 items
[0]
Tumor size (cm)
[1]
241
[2]
[3]
[4]
0.033a
[13] array · 5 items
[0]
≤5
[1]
153
[2]
100
[3]
53
[4]
[14] array · 5 items
[0]
>5
[1]
88
[2]
69
[3]
19
[4]
[15] array · 5 items
[0]
BCLC staging
[1]
217
[2]
[3]
[4]
0.031a
[16] array · 5 items
[0]
A
[1]
152
[2]
102
[3]
50
[4]
[17] array · 5 items
[0]
B + C
[1]
65
[2]
53
[3]
12
[4]
[18] array · 5 items
[0]
TNM staging
[1]
225
[2]
[3]
[4]
0.127
[19] array · 5 items
[0]
I
[1]
96
[2]
60
[3]
36
[4]
[20] array · 5 items
[0]
II + III
[1]
129
[2]
93
[3]
36
[4]
[21] array · 5 items
[0]
AFP level (ng/ml)
[1]
237
[2]
[3]
[4]
0.002a
[22] array · 5 items
[0]
≤300
[1]
128
[2]
78
[3]
50
[4]
[23] array · 5 items
[0]
>300
[1]
109
[2]
87
[3]
22
[4]
[24] array · 5 items
[0]
Cirrhosis
[1]
241
[2]
[3]
[4]
0.225
[25] array · 5 items
[0]
Yes
[1]
222
[2]
158
[3]
64
[4]
[26] array · 5 items
[0]
No
[1]
19
[2]
11
[3]
8
[4]
[27] array · 5 items
[0]
Metastasis risk
[1]
241
[2]
[3]
[4]
0.001a
[28] array · 5 items
[0]
Low
[1]
121
[2]
73
[3]
48
[4]
[29] array · 5 items
[0]
High
[1]
120
[2]
96
[3]
24
[4]
[30] array · 5 items
[0]
Relapse
[1]
241
[2]
[3]
[4]
0.303
[31] array · 5 items
[0]
Yes
[1]
136
[2]
99
[3]
37
[4]
[32] array · 5 items
[0]
No
[1]
105
[2]
70
[3]
35
[4]
locator
section[15]/table-wrap[2]#tII-ol-0-0-7820
[4] object · 16 fields
id
asset:table:pmid:29556287:3
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:dfd0711c610e11df5db2f17437cd425d2bcde8619a413b1d75b2e25ba8591424
bytes
1320
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[17]/table-wrap[1]#tIII-ol-0-0-7820
version
null
note
Univariate and multivariate analyses (Cox regression analysis) indicating the association between overall survival and the characteristics of hepatocellular carcinoma patients in The Cancer Genome Atlas-Liver Hepatocellular Carcinoma cohort.
structure object · 5 fields
pmcid
PMC5844107
section_index
17
section_title
MED15 may be a valuable prognostic marker for patients with HCC
row_count
15
column_count
7
table object · 8 fields
label
Table III.
caption
Univariate and multivariate analyses (Cox regression analysis) indicating the association between overall survival and the characteristics of hepatocellular carcinoma patients in The Cancer Genome Atlas-Liver Hepatocellular Carcinoma cohort.
rows array · 15 items
[0] array · 3 items
[0]
Variable
[1]
Univariate analysis
[2]
Multivariate analysis
[1] array · 3 items
[0]
[1]
[2]
[2] array · 7 items
[0]
[1]
HR
[2]
95% CI
[3]
P-value
[4]
HR
[5]
95% CI
[6]
P-value
[3] array · 7 items
[0]
Sex
[1]
0.754
[2]
0.510–1.114
[3]
0.156
[4]
[5]
[6]
[4] array · 7 items
[0]
Age (years)
[1]
0.943
[2]
0.574–1.552
[3]
0.819
[4]
[5]
[6]
[5] array · 7 items
[0]
Family cancer history
[1]
1.298
[2]
0.859–1.961
[3]
0.216
[4]
[5]
[6]
[6] array · 7 items
[0]
Lymphocyte infiltration
[1]
1.107
[2]
0.770–1.592
[3]
0.582
[4]
[5]
[6]
[7] array · 7 items
[0]
Vascular tumor cell invasion
[1]
1.016
[2]
0.703–1.469
[3]
0.932
[4]
[5]
[6]
[8] array · 7 items
[0]
Neoplasm grade
[1]
1.310
[2]
0.883–1.945
[3]
0.180
[4]
[5]
[6]
[9] array · 7 items
[0]
Pathologic stage
[1]
1.420
[2]
0.922–2.187
[3]
0.112
[4]
[5]
[6]
[10] array · 7 items
[0]
AFP level (ng/ml)
[1]
1.566
[2]
0.976–2.512
[3]
0.063
[4]
[5]
[6]
[11] array · 7 items
[0]
Child-Pugh classification grade
[1]
1.548
[2]
0.760–3.151
[3]
0.229
[4]
[5]
[6]
[12] array · 7 items
[0]
Liver fibrosis Ishak score
[1]
1.059
[2]
0.591–1.898
[3]
0.846
[4]
[5]
[6]
[13] array · 7 items
[0]
Relapse
[1]
1.052
[2]
0.711–1.556
[3]
0.801
[4]
[5]
[6]
[14] array · 7 items
[0]
MED15 expression
[1]
1.581
[2]
1.039–2.404
[3]
0.032a
[4]
1.762
[5]
1.077–2.882
[6]
0.024a
locator
section[17]/table-wrap[1]#tIII-ol-0-0-7820
[5] object · 16 fields
id
asset:table:pmid:29556287:4
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:e5da25abd6c74f86bb7cc28f664633b258a329e4e58f87b909706ba4fc8a78b6
bytes
1279
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[17]/table-wrap[2]#tIV-ol-0-0-7820
version
null
note
Univariate and multivariate analyses (Cox regression analysis) indicating the association between overall survival and the characteristics of hepatocellular carcinoma patients in the GSE14520 cohort.
structure object · 5 fields
pmcid
PMC5844107
section_index
17
section_title
MED15 may be a valuable prognostic marker for patients with HCC
row_count
14
column_count
7
table object · 8 fields
label
Table IV.
caption
Univariate and multivariate analyses (Cox regression analysis) indicating the association between overall survival and the characteristics of hepatocellular carcinoma patients in the GSE14520 cohort.
rows array · 14 items
[0] array · 3 items
[0]
[1]
Univariate analysis
[2]
Multivariate analysis
[1] array · 3 items
[0]
[1]
[2]
[2] array · 7 items
[0]
Variable
[1]
HR
[2]
95% CI
[3]
P-value
[4]
HR
[5]
95% CI
[6]
P-value
[3] array · 7 items
[0]
Sex
[1]
1.870
[2]
0.907–3.858
[3]
0.090
[4]
[5]
[6]
[4] array · 7 items
[0]
Age (years)
[1]
0.911
[2]
0.610–1.360
[3]
0.647
[4]
[5]
[6]
[5] array · 7 items
[0]
No. of tumors
[1]
1.642
[2]
1.057–2.551
[3]
0.027a
[4]
0.389
[5]
0.203–0.745
[6]
0.004a
[6] array · 7 items
[0]
Tumor size (cm)
[1]
1.954
[2]
1.306–2.924
[3]
0.001a
[4]
[5]
[6]
0.493
[7] array · 7 items
[0]
BCLC staging
[1]
3.357
[2]
2.211–5.096
[3]
<0.001a
[4]
3.615
[5]
1.982–6.593
[6]
<0.001a
[8] array · 7 items
[0]
TNM staging
[1]
3.084
[2]
1.883–5.053
[3]
<0.001a
[4]
[5]
[6]
0.337
[9] array · 7 items
[0]
AFP level (ng/ml)
[1]
1.710
[2]
1.141–2.562
[3]
0.009a
[4]
[5]
[6]
0.589
[10] array · 7 items
[0]
Cirrhosis
[1]
5.126
[2]
1.263–20.804
[3]
0.022a
[4]
4.456
[5]
1.081–18.367
[6]
0.039
[11] array · 7 items
[0]
Metastasis risk
[1]
2.281
[2]
1.504–3.459
[3]
<0.001a
[4]
2.41
[5]
1.523–3.814
[6]
0.001a
[12] array · 7 items
[0]
Relapse
[1]
122.187
[2]
17.008–877.810
[3]
<0.001a
[4]
91.516
[5]
12.664–661.334
[6]
<0.001a
[13] array · 7 items
[0]
MED15 expression
[1]
1.517
[2]
0.950–2.425
[3]
0.081
[4]
[5]
[6]
locator
section[17]/table-wrap[2]#tIV-ol-0-0-7820
gaps array · 2 items
[0]
asset:data:geo:GSE14520 not downloaded
[1]
asset:data:geo:GSE14520 licence not read
analysis object · 4 fields
state
partial
methods array · 5 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
kaplan_meier
label
Survival analysis
dsl_operations array · 1 item
[0]
survival_km
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
1
band
verbatim
quote
Kaplan-Meier and log-rank test analyses were employed to test for an association between MED15 expression and the OS or DFS of the patients.
[1] object · 10 fields
id
method-2
family
group_comparison
specific
student_t_test
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
student_t
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
Student's t-test
[2] object · 10 fields
id
method-3
family
group_comparison
specific
mann_whitney
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_mann_whitney
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
Mann-Whitney
[3] object · 10 fields
id
method-4
family
survival_analysis
specific
cox_proportional_hazards
label
Survival analysis
dsl_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.8
band
high
quote
Cox proportional hazards
[4] object · 10 fields
id
method-5
family
survival_analysis
specific
log_rank_test
label
Survival analysis
dsl_operations array · 1 item
[0]
logrank_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.8
band
high
quote
log-rank
targets array · 0 items
gaps array · 1 item
[0]
method.reader_differs_from_extractor
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
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
survival_km
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: kaplan_meier.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 1 item
[0]
GSE14520
resolved_accessions array · 1 item
[0]
GSE14520
statements array · 1 item
[0]
In order to investigate the role of MED15 expression in HCC, the current study analyzed the TCGA-LIHC dataset (http://www.cbioportal.org/data_sets.jsp) that contains 331 HCC cases and the GSE14520 dataset (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14520) that provides 246 HCC cases (hereafter defined as the TCGA-LIHC and GSE14520 cohorts, respectively). These datasets comprise follow-up information for patients and gene expression data.
basis
The paper names GSE14520 in Gene Expression Omnibus and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
survival_km
assets array · 6 items
[0]
source:pmid:29556287
[1]
data:geo:GSE14520
[2]
asset:table:pmid:29556287:1
[3]
asset:table:pmid:29556287:2
[4]
asset:table:pmid:29556287:3
[5]
asset:table:pmid:29556287:4
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE14520
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-10-31T18:34:05Z
independence
same_provider
evidence_check object · 2 fields
method
verbatim
availability
null
calls
8
usage object · 3 fields
prompt_tokens
75128
completion_tokens
3996
cached_tokens
10528
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:29556287
type
paper
label
pmid:29556287
[1] object · 3 fields
id
source:pmid:29556287
type
manuscript
label
PMID 29556287 full text
[2] object · 3 fields
id
data:geo:GSE14520
type
dataset
label
GEO GSE14520
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
id
pmid:29556287
type
paper
label
pmid:29556287
[1] object · 3 fields
id
source:pmid:29556287
type
manuscript
label
PMID 29556287 full text
[2] object · 3 fields
id
data:geo:GSE14520
type
dataset
label
GEO GSE14520
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-29556287
type
extraction
used array · 1 item
[0]
source:pmid:29556287
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE14520
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE14520
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
label
MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:29556287
parent_hash
sha256:a13b28f004d181770f76d5573f62248b232308e1170ac2348d6d03eef078b0f4
fork_of
null
gaps array · 7 items
[0]
asset:data:geo:GSE14520 licence not read
[1]
asset:data:geo:GSE14520 not downloaded
[2]
execution.not_run
[3]
method.reader_differs_from_extractor
[4]
review.human_critique
[5]
review.independent_reader
[6]
review.machine_critique
assays array · 4 items
[0] object · 11 fields
role
data_generation
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 4 items
[0]
tion-quantitative polymerase chain reaction (RT-qPCR) and immunohistochemical analysis revealed t
[1]
n-quantitative polymerase chain reaction (RT-qPCR) and immunohistochemical analysis revealed t
[2]
sis Student's t-test was used to analyze the RT-qPCR results, while Mann-Whitney U-test was used
[3]
Student's t-test was used to analyze the RT-qPCR results, while Mann-Whitney U-test was used
order_basis
paper_text_order:520
id
assay:1
[1] object · 11 fields
role
data_generation
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 1 item
[0]
tive polymerase chain reaction (RT-qPCR) and immunohistochemical analysis revealed that MED15 mRNA and protei
order_basis
paper_text_order:533
id
assay:2
[2] object · 11 fields
role
data_generation
definition_id
microarray
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 1 item
[0]
=0.028; Fig. 4B). Furthermore, a comparative microarray analysis of gene expression was performed in
order_basis
paper_text_order:4350
id
assay:3
[3] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
survival_km
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Kaplan-Meier and log-rank test analyses were employed to test for an association between MED15 expression and the OS or DFS of the patients.
order_basis
consumes_earlier_output
id
assay:4
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:29556287", "kind": "science-record", "revision": 9, "content_hash": "sha256:c7086a83437fd0b65bc9c3b512c08499eb0fe632f5cf55d692719719051671d1", "created_at": "2026-11-01T15:40:32Z", "updated_at": "2026-11-01T22:43:19Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Increased mediator complex subunit 15 expression is associated with poor prognosis in hepatocellular carcinoma.", "doi": "10.3892/ol.2018.7820", "pmid": "29556287", "authors": ["Kunyuan Wang", "Chenxi Duan", "Xuejing Zou", "Yang Song", "Wenwen Li", "Lushan Xiao", "Jie Peng", "Liheng Yao", "Qian Long", "Li Liu"], "journal": "Oncology letters", "year": 2018, "abstract": "Mediator complex subunit 15 (MED15) is a coactivator involved in the regulated transcription of RNA polymerase II-dependent genes and serves an oncogenic role in numerous types of cancer. However, the expression and function of MED15 in hepatocellular carcinoma (HCC) remain unknown. In the present study, the aim was to investigate the expression and clinical significance of MED15 in HCC. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and immunohistochemical analysis revealed that MED15 mRNA and protein levels were significantly upregulated in HCC tissues compared with those in the corresponding adjacent non-tumor liver tissues. Furthermore, analyzing data from The Cancer Genome Atlas-Liver Hepatocellular Carcinoma (TCGA-LIHC) and GSE14520 datasets revealed a significant correlation between MED15 expression and the tumor size (P=0.033), Barcelona Clinic Liver Cancer stage (P=0.031), α-fetoprotein levels (P=0.002) and metastasis risk (P=0.001). Furthermore, patients with high MED15 expression levels had a shorter survival time compared with those with low MED15 expression levels (P<0.05). Univariate and multivariate analyses further revealed that MED15 may be an independent prognostic factor for the overall survival of HCC patients (hazard ratio, 1.762; 95% confidence interval, 1.077-2.882; P<0.05). In addition, MED15 expression was positively associated with hypoxia-inducible factor 1α expression in the TCGA-LIHC and GSE14520 datasets (P<0.01). In conclusion, the data reported in the present study indicated that MED15 is overexpressed in HCC and may represent a novel prognostic biomarker for patients with HCC.", "claims": [{"id": "claim-method", "statement": "Kaplan-Meier and log-rank test analyses were employed to test for an association between MED15 expression and the OS or DFS of the patients.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:29556287", "locator": "sections[16] \"MED15 expression levels predict the clinical outcome of patients with HCC\" paragraph 2", "quote": "Kaplan-Meier and log-rank test analyses were employed to test for an association between MED15 expression and the OS or DFS of the patients."}], "state": "complete"}, {"id": "claim-data-access", "statement": "In order to investigate the role of MED15 expression in HCC, the current study analyzed the TCGA-LIHC dataset (http://www.cbioportal.org/data_sets.jsp) that contains 331 HCC cases and the GSE14520 dataset (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14520) that provides 246 HCC cases (hereafter defined as the TCGA-LIHC and GSE14520 cohorts, respectively). These datasets comprise follow-up information for patients and gene expression data.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:29556287", "locator": "sections[8] \"TCGA-LIHC and GSE14520 datasets, Oncomine gene expression array\" paragraph 2", "quote": "In order to investigate the role of MED15 expression in HCC, the current study analyzed the TCGA-LIHC dataset (http://www.cbioportal.org/data_sets.jsp) that contains 331 HCC cases and the GSE14520 dataset (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14520) that provides 246 HCC cases (hereafter defined as the TCGA-LIHC and GSE14520 cohorts, respectively). These datasets comprise follow-up information for patients and gene expression data."}], "state": "complete"}, {"id": "claim-target-result", "statement": "MED15 mRNA and protein expression were significantly upregulated in HCC tissues, and high MED15 expression was associated with poor prognosis; the study used RT-qPCR and immunohistochemical analysis of tissue specimens and analyzed the TCGA-LIHC and GSE14520 datasets for clinicopathological and survival associations.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:29556287", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and immunohistochemical analysis revealed that MED15 mRNA and protein levels were significantly upregulated in HCC tissues compared with those in the corresponding adjacent non-tumor liver tissues."}, {"asset": "source:pmid:29556287", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Furthermore, analyzing data from The Cancer Genome Atlas-Liver Hepatocellular Carcinoma (TCGA-LIHC) and GSE14520 datasets revealed a significant correlation between MED15 expression and the tumor size (P=0.033), Barcelona Clinic Liver Cancer stage (P=0.031), α-fetoprotein levels (P=0.002) and metastasis risk (P=0.001)."}, {"asset": "source:pmid:29556287", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "In conclusion, the data reported in the present study indicated that MED15 is overexpressed in HCC and may represent a novel prognostic biomarker for patients with HCC."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "MED15 mRNA and protein expression were significantly upregulated in HCC tissues, and high MED15 expression was associated with poor prognosis; the study used RT-qPCR and immunohistochemical analysis of tissue specimens and analyzed the TCGA-LIHC and GSE14520 datasets for clinicopathological and survival associations.", "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:29556287"], "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. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE14520"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE14520"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:29556287", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3892/ol.2018.7820", "sha256": "sha256:c645ea2e7e3cf60ad75f4b62b2153c438a9cb187284f27d6fdf7d9b3a7ea0dc5", "bytes": 36608, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3892/ol.2018.7820", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC5844107", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"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": "In order to investigate the role of MED15 expression in HCC, the current study analyzed the TCGA-LIHC dataset (http://www.cbioportal.org/data_sets.jsp) that contains 331 HCC cases and the GSE14520 dataset (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14520) that provides 246 HCC cases (hereafter defined as the TCGA-LIHC and GSE14520 cohorts, respectively). These datasets comprise follow-up information for patients and gene expression data.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "In order to investigate the role of MED15 expression in HCC, the current study analyzed the TCGA-LIHC dataset (http://www.cbioportal.org/data_sets.jsp) that contains 331 HCC cases and the GSE14520 dataset (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14520) that provides 246 HCC cases (hereafter defined as the TCGA-LIHC and GSE14520 cohorts, respectively). These datasets comprise follow-up information for patients and gene expression data.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM362947", "GSM362948", "GSM362949", "GSM362950", "GSM362951", "GSM362952", "GSM362953", "GSM362954", "GSM362955", "GSM362956", "GSM362957", "GSM362958", "GSM362959", "GSM362960", "GSM362961", "GSM362962", "GSM362963", "GSM362964", "GSM362965", "GSM362966", "GSM362967", "GSM362968", "GSM362969", "GSM362970", "GSM362971", "GSM362972", "GSM362973", "GSM362974", "GSM362975", "GSM362976", "GSM362977", "GSM362978", "GSM362979", "GSM362980", "GSM362981", "GSM362982", "GSM362983", "GSM362984", "GSM362985", "GSM362986", "GSM362987", "GSM362988", "GSM362989", "GSM362990", "GSM362991", "GSM362992", "GSM362993", "GSM362994", "GSM362995", "GSM362996", "GSM362997", "GSM362998", "GSM362999", "GSM363000", "GSM363001", "GSM363002", "GSM363003", "GSM363004", "GSM363005", "GSM363006", "GSM363007", "GSM363008", "GSM363009", "GSM363010", "GSM363011", "GSM363012", "GSM363013", "GSM363014", "GSM363015", "GSM363016", "GSM363017", "GSM363018", "GSM363019", "GSM363020", "GSM363021", "GSM363022", "GSM363023", "GSM363024", "GSM363025", "GSM363026", "GSM363027", "GSM363028", "GSM363029", "GSM363030", "GSM363031", "GSM363032", "GSM363033", "GSM363034", "GSM363035", "GSM363036", "GSM363037", "GSM363038", "GSM363039", "GSM363040", "GSM363041", "GSM363042", "GSM363043", "GSM363044", "GSM363045", "GSM363046", "GSM363047", "GSM363048", "GSM363049", "GSM363050", "GSM363051", "GSM363052", "GSM363053", "GSM363054", "GSM363055", "GSM363056", "GSM363057", "GSM363058", "GSM363059", "GSM363060", "GSM363061", "GSM363062", "GSM363063", "GSM363064", "GSM363065", "GSM363066", "GSM363067", "GSM363068", "GSM363069", "GSM363070", "GSM363071", "GSM363072", "GSM363073", "GSM363074", "GSM363075", "GSM363076", "GSM363077", "GSM363078", "GSM363079", "GSM363080", "GSM363081", "GSM363082", "GSM363083", "GSM363084", "GSM363085", "GSM363086", "GSM363087", "GSM363088", "GSM363089", "GSM363090", "GSM363091", "GSM363092", "GSM363093", "GSM363094", "GSM363095", "GSM363096", "GSM363097", "GSM363098", "GSM363099", "GSM363100", "GSM363101", "GSM363102", "GSM363103", "GSM363104", "GSM363105", "GSM363106", "GSM363107", "GSM363108", "GSM363109", "GSM363110", "GSM363111", "GSM363112", "GSM363113", "GSM363114", "GSM363115", "GSM363116", "GSM363117", "GSM363118", "GSM363119", "GSM363120", "GSM363121", "GSM363122", "GSM363123", "GSM363124", "GSM363125", "GSM363126", "GSM363127", "GSM363128", "GSM363129", "GSM363130", "GSM363131", "GSM363132", "GSM363133", "GSM363134", "GSM363135", "GSM363136", "GSM363137", "GSM363138", "GSM363139", "GSM363140", "GSM363141", "GSM363142", "GSM363143", "GSM363144", "GSM363145", "GSM363146", "GSM363147", "GSM363148", "GSM363149", "GSM363150", "GSM363151", "GSM363152", "GSM363153", "GSM363154", "GSM363155", "GSM363156", "GSM363157", "GSM363158", "GSM363159", "GSM363160", "GSM363161", "GSM363162", "GSM363163", "GSM363164", "GSM363165", "GSM363166", "GSM363167", "GSM363168", "GSM363169", "GSM363170", "GSM363171", "GSM363172", "GSM363173", "GSM363174", "GSM363175", "GSM363176", "GSM363177", "GSM363178", "GSM363179", "GSM363180", "GSM363181", "GSM363182", "GSM363183", "GSM363184", "GSM363185", "GSM363186", "GSM363187", "GSM363188", "GSM363189", "GSM363190", "GSM363191", "GSM363192", "GSM363193", "GSM363194", "GSM363195", "GSM363196", "GSM363197", "GSM363198", "GSM363199", "GSM363200", "GSM363201", "GSM363202", "GSM363203", "GSM363204", "GSM363205", "GSM363206", "GSM363207", "GSM363208", "GSM363209", "GSM363210", "GSM363211", "GSM363212", "GSM363213", "GSM363214", "GSM363215", "GSM363216", "GSM363217", "GSM363218", "GSM363219", "GSM363220", "GSM363221", "GSM363222", "GSM363223", "GSM363224", "GSM363225", "GSM363226", "GSM363227", "GSM363228", "GSM363229", "GSM363230", "GSM363231", "GSM363232", "GSM363233", "GSM363234", "GSM363235", "GSM363236", "GSM363237", "GSM363238", "GSM363239", "GSM363240", "GSM363241", "GSM363242", "GSM363243", "GSM363244", "GSM363245", "GSM363246", "GSM363247", "GSM363248", "GSM363249", "GSM363250", "GSM363251", "GSM363252", "GSM363253", "GSM363254", "GSM363255", "GSM363256", "GSM363257", "GSM363258", "GSM363259", "GSM363260", "GSM363261", "GSM363262", "GSM363263", "GSM363264", "GSM363265", "GSM363266", "GSM363267", "GSM363268", "GSM363269", "GSM363270", "GSM363271", "GSM363272", "GSM363273", "GSM363274", "GSM363275", "GSM363276", "GSM363277", "GSM363278", "GSM363279", "GSM363280", "GSM363281", "GSM363282", "GSM363283", "GSM363284", "GSM363285", "GSM363286", "GSM363287", "GSM363288", "GSM363289", "GSM363290", "GSM363291", "GSM363292", "GSM363293", "GSM363294", "GSM363295", "GSM363296", "GSM363297", "GSM363298", "GSM363299", "GSM363300", "GSM363301", "GSM363302", "GSM363303", "GSM363304", "GSM363305", "GSM363306", "GSM363307", "GSM363308", "GSM363309", "GSM363310", "GSM363311", "GSM363312", "GSM363313", "GSM363314", "GSM363315", "GSM363316", "GSM363317", "GSM363318", "GSM363319", "GSM363320", "GSM363321", "GSM363322", "GSM363323", "GSM363324", "GSM363325", "GSM363326", "GSM363327", "GSM363328", "GSM363329", "GSM363330", "GSM363331", "GSM363332", "GSM363333", "GSM363334", "GSM363335", "GSM363336", "GSM363337", "GSM363338", "GSM363339", "GSM363340", "GSM363341", "GSM363342", "GSM363343", "GSM363344", "GSM363345", "GSM363346", "GSM363347", "GSM363348", "GSM363349", "GSM363350", "GSM363351", "GSM363352", "GSM363353", "GSM363354", "GSM363355", "GSM363356", "GSM363357", "GSM363358", "GSM363359", "GSM363360", "GSM363361", "GSM363362", "GSM363363", "GSM363364", "GSM363365", "GSM363366", "GSM363367", "GSM363368", "GSM363369", "GSM363370", "GSM363371", "GSM363372", "GSM363373", "GSM363374", "GSM363375", "GSM363376", "GSM363378", "GSM363380", "GSM363381", "GSM363382", "GSM363384", "GSM363386", "GSM363388", "GSM363391", "GSM363393", "GSM363397", "GSM363400", "GSM363402", "GSM363404", "GSM363407", "GSM363417", "GSM363420", "GSM363421", "GSM363422", "GSM363423", "GSM363424", "GSM363425", "GSM363426", "GSM363427", "GSM363428", "GSM363429", "GSM363430", "GSM363431", "GSM363432", "GSM363433", "GSM363434", "GSM363435", "GSM363436", "GSM363437", "GSM363438", "GSM363439", "GSM363440", "GSM363441", "GSM363442", "GSM363443", "GSM363444", "GSM363445", "GSM363446", "GSM363447", "GSM363448", "GSM363449", "GSM363450", "GSM363451", "GSM712532", "GSM712533", "GSM712534", "GSM712535", "GSM712536", "GSM712537", "GSM712538", "GSM712539", "GSM712540", "GSM712541", "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}}, {"id": "asset:table:pmid:29556287:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:a07fc6c3ca87dcff904f4ed048da2b72687b42a48f4c9431a96c2a1e47d0a3b4", "bytes": 1561, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[15]/table-wrap[1]#tI-ol-0-0-7820", "version": null, "note": "Correlation between MED15 expression and hepatocellular carcinoma clinicopathological features in The Cancer Genome Atlas-Liver Hepatocellular Carcinoma cohort.", "structure": {"pmcid": "PMC5844107", "section_index": 15, "section_title": "Correlation between MED15 expression and clinicopathological characteristics of HCC", "row_count": 38, "column_count": 5}, "table": {"label": "Table I.", "caption": "Correlation between MED15 expression and hepatocellular carcinoma clinicopathological features in The Cancer Genome Atlas-Liver Hepatocellular Carcinoma cohort.", "rows": [["", "", "MED15 expression, n", ""], ["", "", "", ""], ["Variable", "Total, n", "High", "Low", "P-value"], ["Sex", "331", "", "", "0.584"], ["Male", "219", "140", "79", ""], ["Female", "112", "75", "37", ""], ["Age (years)", "331", "", "", "0.139"], ["≤50", "66", "48", "18", ""], [">50", "265", "167", "98", ""], ["Family cancer history", "288", "", "", "0.106"], ["Yes", "104", "62", "42", ""], ["No", "184", "127", "57", ""], ["Lymphocyte infiltration", "212", "", "", "0.455"], ["Absent", "106", "59", "47", ""], ["Mild", "91", "60", "31", ""], ["Severe", "15", "7", "8", ""], ["Vascular tumor cell invasion", "278", "", "", "0.123"], ["None", "183", "109", "74", ""], ["Micro", "82", "52", "30", ""], ["Macro", "13", "12", "1", ""], ["Neoplasm grade", "326", "", "", "0.005a"], ["G1+G2", "207", "123", "84", ""], ["G3+G4", "119", "89", "30", ""], ["Pathologic stage", "310", "", "", "0.544"], ["I+II", "226", "145", "81", ""], ["III+IV", "84", "57", "27", ""], ["AFP level (ng/ml)", "245", "", "", "<0.001a"], ["<400", "189", "110", "79", ""], ["≥400", "56", "47", "9", ""], ["Child-Pugh classification grade", "208", "", "", "0.658"], ["A", "188", "113", "75", ""], ["B+C", "20", "11", "9", ""], ["Liver fibrosis Ishak score", "191", "", "", "0.891"], ["≤4", "123", "70", "53", ""], [">4", "68", "38", "30", ""], ["Relapse", "330", "", "", "0.390"], ["Yes", "133", "83", "50", ""], ["No", "197", "132", "65", ""]], "row_count": 38, "column_count": 5, "numeric_cells": 101, "header_rows": 3, "locator": "section[15]/table-wrap[1]#tI-ol-0-0-7820"}}, {"id": "asset:table:pmid:29556287:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:feb5df833254d175918ac0fb03fd59c8dd516359e07c3f8063bdde84bc8531d4", "bytes": 1303, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[15]/table-wrap[2]#tII-ol-0-0-7820", "version": null, "note": "Correlation between MED15 expression and hepatocellular carcinoma clinicopathological features in the GSE14520 cohort.", "structure": {"pmcid": "PMC5844107", "section_index": 15, "section_title": "Correlation between MED15 expression and clinicopathological characteristics of HCC", "row_count": 33, "column_count": 5}, "table": {"label": "Table II.", "caption": "Correlation between MED15 expression and hepatocellular carcinoma clinicopathological features in the GSE14520 cohort.", "rows": [["", "", "MED15 expression, n", ""], ["", "", "", ""], ["Variable", "Total, n", "High", "Low", "P-value"], ["Sex", "241", "", "", "0.756"], ["Male", "210", "148", "62", ""], ["Female", "31", "21", "10", ""], ["Age (years)", "241", "", "", "0.768"], ["≤50", "124", "88", "36", ""], [">50", "117", "81", "36", ""], ["No. of tumors", "241", "", "", "0.455"], ["Solitary", "189", "129", "60", ""], ["Multiple", "52", "40", "12", ""], ["Tumor size (cm)", "241", "", "", "0.033a"], ["≤5", "153", "100", "53", ""], [">5", "88", "69", "19", ""], ["BCLC staging", "217", "", "", "0.031a"], ["A", "152", "102", "50", ""], ["B + C", "65", "53", "12", ""], ["TNM staging", "225", "", "", "0.127"], ["I", "96", "60", "36", ""], ["II + III", "129", "93", "36", ""], ["AFP level (ng/ml)", "237", "", "", "0.002a"], ["≤300", "128", "78", "50", ""], [">300", "109", "87", "22", ""], ["Cirrhosis", "241", "", "", "0.225"], ["Yes", "222", "158", "64", ""], ["No", "19", "11", "8", ""], ["Metastasis risk", "241", "", "", "0.001a"], ["Low", "121", "73", "48", ""], ["High", "120", "96", "24", ""], ["Relapse", "241", "", "", "0.303"], ["Yes", "136", "99", "37", ""], ["No", "105", "70", "35", ""]], "row_count": 33, "column_count": 5, "numeric_cells": 87, "header_rows": 3, "locator": "section[15]/table-wrap[2]#tII-ol-0-0-7820"}}, {"id": "asset:table:pmid:29556287:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:dfd0711c610e11df5db2f17437cd425d2bcde8619a413b1d75b2e25ba8591424", "bytes": 1320, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[17]/table-wrap[1]#tIII-ol-0-0-7820", "version": null, "note": "Univariate and multivariate analyses (Cox regression analysis) indicating the association between overall survival and the characteristics of hepatocellular carcinoma patients in The Cancer Genome Atlas-Liver Hepatocellular Carcinoma cohort.", "structure": {"pmcid": "PMC5844107", "section_index": 17, "section_title": "MED15 may be a valuable prognostic marker for patients with HCC", "row_count": 15, "column_count": 7}, "table": {"label": "Table III.", "caption": "Univariate and multivariate analyses (Cox regression analysis) indicating the association between overall survival and the characteristics of hepatocellular carcinoma patients in The Cancer Genome Atlas-Liver Hepatocellular Carcinoma cohort.", "rows": [["Variable", "Univariate analysis", "Multivariate analysis"], ["", "", ""], ["", "HR", "95% CI", "P-value", "HR", "95% CI", "P-value"], ["Sex", "0.754", "0.510–1.114", "0.156", "", "", ""], ["Age (years)", "0.943", "0.574–1.552", "0.819", "", "", ""], ["Family cancer history", "1.298", "0.859–1.961", "0.216", "", "", ""], ["Lymphocyte infiltration", "1.107", "0.770–1.592", "0.582", "", "", ""], ["Vascular tumor cell invasion", "1.016", "0.703–1.469", "0.932", "", "", ""], ["Neoplasm grade", "1.310", "0.883–1.945", "0.180", "", "", ""], ["Pathologic stage", "1.420", "0.922–2.187", "0.112", "", "", ""], ["AFP level (ng/ml)", "1.566", "0.976–2.512", "0.063", "", "", ""], ["Child-Pugh classification grade", "1.548", "0.760–3.151", "0.229", "", "", ""], ["Liver fibrosis Ishak score", "1.059", "0.591–1.898", "0.846", "", "", ""], ["Relapse", "1.052", "0.711–1.556", "0.801", "", "", ""], ["MED15 expression", "1.581", "1.039–2.404", "0.032a", "1.762", "1.077–2.882", "0.024a"]], "row_count": 15, "column_count": 7, "numeric_cells": 42, "header_rows": 3, "locator": "section[17]/table-wrap[1]#tIII-ol-0-0-7820"}}, {"id": "asset:table:pmid:29556287:4", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:e5da25abd6c74f86bb7cc28f664633b258a329e4e58f87b909706ba4fc8a78b6", "bytes": 1279, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[17]/table-wrap[2]#tIV-ol-0-0-7820", "version": null, "note": "Univariate and multivariate analyses (Cox regression analysis) indicating the association between overall survival and the characteristics of hepatocellular carcinoma patients in the GSE14520 cohort.", "structure": {"pmcid": "PMC5844107", "section_index": 17, "section_title": "MED15 may be a valuable prognostic marker for patients with HCC", "row_count": 14, "column_count": 7}, "table": {"label": "Table IV.", "caption": "Univariate and multivariate analyses (Cox regression analysis) indicating the association between overall survival and the characteristics of hepatocellular carcinoma patients in the GSE14520 cohort.", "rows": [["", "Univariate analysis", "Multivariate analysis"], ["", "", ""], ["Variable", "HR", "95% CI", "P-value", "HR", "95% CI", "P-value"], ["Sex", "1.870", "0.907–3.858", "0.090", "", "", ""], ["Age (years)", "0.911", "0.610–1.360", "0.647", "", "", ""], ["No. of tumors", "1.642", "1.057–2.551", "0.027a", "0.389", "0.203–0.745", "0.004a"], ["Tumor size (cm)", "1.954", "1.306–2.924", "0.001a", "", "", "0.493"], ["BCLC staging", "3.357", "2.211–5.096", "<0.001a", "3.615", "1.982–6.593", "<0.001a"], ["TNM staging", "3.084", "1.883–5.053", "<0.001a", "", "", "0.337"], ["AFP level (ng/ml)", "1.710", "1.141–2.562", "0.009a", "", "", "0.589"], ["Cirrhosis", "5.126", "1.263–20.804", "0.022a", "4.456", "1.081–18.367", "0.039"], ["Metastasis risk", "2.281", "1.504–3.459", "<0.001a", "2.41", "1.523–3.814", "0.001a"], ["Relapse", "122.187", "17.008–877.810", "<0.001a", "91.516", "12.664–661.334", "<0.001a"], ["MED15 expression", "1.517", "0.950–2.425", "0.081", "", "", ""]], "row_count": 14, "column_count": 7, "numeric_cells": 54, "header_rows": 3, "locator": "section[17]/table-wrap[2]#tIV-ol-0-0-7820"}}], "gaps": ["asset:data:geo:GSE14520 not downloaded", "asset:data:geo:GSE14520 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "survival_analysis", "specific": "kaplan_meier", "label": "Survival analysis", "dsl_operations": ["survival_km"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "Kaplan-Meier and log-rank test analyses were employed to test for an association between MED15 expression and the OS or DFS of the patients."}}, {"id": "method-2", "family": "group_comparison", "specific": "student_t_test", "label": "Group comparison", "dsl_operations": [], "missing_operations": ["student_t"], "expressible": false, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "Student's t-test"}}, {"id": "method-3", "family": "group_comparison", "specific": "mann_whitney", "label": "Group comparison", "dsl_operations": [], "missing_operations": ["group_comparison_mann_whitney"], "expressible": false, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "Mann-Whitney"}}, {"id": "method-4", "family": "survival_analysis", "specific": "cox_proportional_hazards", "label": "Survival analysis", "dsl_operations": ["cox_ph"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 0.8, "band": "high", "quote": "Cox proportional hazards"}}, {"id": "method-5", "family": "survival_analysis", "specific": "log_rank_test", "label": "Survival analysis", "dsl_operations": ["logrank_test"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 0.8, "band": "high", "quote": "log-rank"}}], "targets": [], "gaps": ["method.reader_differs_from_extractor"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["survival_km"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: kaplan_meier."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE14520"], "resolved_accessions": ["GSE14520"], "statements": ["In order to investigate the role of MED15 expression in HCC, the current study analyzed the TCGA-LIHC dataset (http://www.cbioportal.org/data_sets.jsp) that contains 331 HCC cases and the GSE14520 dataset (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14520) that provides 246 HCC cases (hereafter defined as the TCGA-LIHC and GSE14520 cohorts, respectively). These datasets comprise follow-up information for patients and gene expression data."], "basis": "The paper names GSE14520 in Gene Expression Omnibus and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["survival_km"], "assets": ["source:pmid:29556287", "data:geo:GSE14520", "asset:table:pmid:29556287:1", "asset:table:pmid:29556287:2", "asset:table:pmid:29556287:3", "asset:table:pmid:29556287:4"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE14520"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:34:05Z", "independence": "same_provider"}, "evidence_check": {"method": "verbatim", "availability": null}, "calls": 8, "usage": {"prompt_tokens": 75128, "completion_tokens": 3996, "cached_tokens": 10528}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:29556287", "type": "paper", "label": "pmid:29556287"}, {"id": "source:pmid:29556287", "type": "manuscript", "label": "PMID 29556287 full text"}, {"id": "data:geo:GSE14520", "type": "dataset", "label": "GEO GSE14520"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:29556287", "type": "paper", "label": "pmid:29556287"}, {"id": "source:pmid:29556287", "type": "manuscript", "label": "PMID 29556287 full text"}, {"id": "data:geo:GSE14520", "type": "dataset", "label": "GEO GSE14520"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-29556287", "type": "extraction", "used": ["source:pmid:29556287"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE14520", "type": "accession_resolution", "used": ["data:geo:GSE14520"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:29556287", "parent_hash": "sha256:a13b28f004d181770f76d5573f62248b232308e1170ac2348d6d03eef078b0f4", "fork_of": null, "generation": 8}, "gaps": ["asset:data:geo:GSE14520 licence not read", "asset:data:geo:GSE14520 not downloaded", "execution.not_run", "method.reader_differs_from_extractor", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "qpcr", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["tion-quantitative polymerase chain reaction (RT-qPCR) and immunohistochemical analysis revealed t", "n-quantitative polymerase chain reaction (RT-qPCR) and immunohistochemical analysis revealed t", "sis Student's t-test was used to analyze the RT-qPCR results, while Mann-Whitney U-test was used", "Student's t-test was used to analyze the RT-qPCR results, while Mann-Whitney U-test was used"], "order_basis": "paper_text_order:520", "id": "assay:1"}, {"role": "data_generation", "definition_id": "ihc", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["tive polymerase chain reaction (RT-qPCR) and immunohistochemical analysis revealed that MED15 mRNA and protei"], "order_basis": "paper_text_order:533", "id": "assay:2"}, {"role": "data_generation", "definition_id": "microarray", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["=0.028; Fig. 4B). Furthermore, a comparative microarray analysis of gene expression was performed in"], "order_basis": "paper_text_order:4350", "id": "assay:3"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["survival_km"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Kaplan-Meier and log-rank test analyses were employed to test for an association between MED15 expression and the OS or DFS of the patients."], "order_basis": "consumes_earlier_output", "id": "assay:4"}]}