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pmid:37874388

A risk score model based on lipid metabolism-related genes could predict response to immunotherapy and prognosis of lung adenocarcinoma: a multi-dataset study and cytological validation.

Yangyang Lei · Boxuan Zhou · Xiangzhi Meng · Mei Liang · Weijian Song · Yicheng Liang · Yushun Gao · Minghui Wang

Discover oncology · 2023 doi:10.1007/s12672-023-00802-3

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Experiment

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title
A risk score model based on lipid metabolism-related genes could predict response to immunotherapy and prognosis of lung adenocarcinoma: a multi-dataset study and cytological validation.
doi
10.1007/s12672-023-00802-3
pmid
37874388
authors array · 8 items
[0]
Yangyang Lei
[1]
Boxuan Zhou
[2]
Xiangzhi Meng
[3]
Mei Liang
[4]
Weijian Song
[5]
Yicheng Liang
[6]
Yushun Gao
[7]
Minghui Wang
journal
Discover oncology
year
2023
abstract
BACKGROUND: Lipid metabolism is a key factor in tumorigenesis and drug resistance, and models related to lipid metabolism have shown potential to predict survival and curative effects of adjuvant therapy in various cancers. However, the relationship between lipid metabolism and prognosis and treatment response of lung adenocarcinoma (LUAD) are still unclear. METHODS: We enrolled seven bulk RNA-sequence datasets (GSE37745, GSE19188, GSE30219, GSE31547, GSE41271, GSE42127, and GSE72094) from the GEO database and one single-cell RNA-sequencing dataset (GSE117570) from the TISCH2 database. Non-negative matrix factorization (NMF) was utilized to construct the risk score model based on lipid score calculated by GSVA algorithm. Phs000452.v3, PMID: 26359337, PMID: 32472114, PRJEB23709 datasets were used to test the response to immunotherapy. Drug sensitivity analysis was assessed according to the GDSC database, and immunotherapy response was evaluated using the Wilcoxon test. Cellular function assays including clone formation, EDU assays and flow cytometry were implemented to explore the phenotype alteration caused by the knockdown of PTDSS1, which is one of key gene in risk score model. RESULTS: We analyzed both bulk and single-cell RNA sequencing data to establish and validate a risk score model based on 18 lipid metabolism-related genes with significant impact on prognosis. After divided the patients into two groups according to risk score, we identified differences in lipid-related metabolic processes and a detailed portrait of the immune landscapes of high- and low-risk groups. Moreover, we investigated the potentials of our risk score in predicting response to immunotherapy and drug sensitivity. In addition, we silenced PTDSS1 in LUAD cell lines, and found that the proliferation of the cells was weakened, and the apoptosis of the cells was increased. CONCLUSION: Our study highlights the crucial roles of lipid metabolism in LUAD and provides a reliable risk score model, which can aid in predicting prognosis and response to immunotherapy. Furthermore, we investigated the roles of PTDSS1 in LUAD carcinogenesis, which showed that PTDSS1 regulated proliferation and apoptosis of LUAD cells.
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We performed univariate cox regression on all lipid metabolism-related genes to evaluate their impacts on the prognosis of LUAD patients.
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We performed univariate cox regression on all lipid metabolism-related genes to evaluate their impacts on the prognosis of LUAD patients.
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Our study highlights the crucial roles of lipid metabolism in LUAD and provides a reliable risk score model, which can aid in predicting prognosis and response to immunotherapy.
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Our study highlights the crucial roles of lipid metabolism in LUAD and provides a reliable risk score model, which can aid in predicting prognosis and response to immunotherapy.
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[258]
GSM748316
[259]
GSM748317
[260]
GSM748318
[261]
GSM748319
[262]
GSM748320
[263]
GSM748321
[264]
GSM748323
[265]
GSM748324
[266]
GSM748325
[267]
GSM748326
[268]
GSM748327
[269]
GSM748328
[270]
GSM748329
[271]
GSM748330
[272]
GSM748331
[273]
GSM748332
[274]
GSM748333
[275]
GSM748334
[276]
GSM748335
[277]
GSM748336
[278]
GSM748337
[279]
GSM748338
[280]
GSM748339
[281]
GSM748341
[282]
GSM748342
[283]
GSM748343
[284]
GSM748344
[285]
GSM748345
[286]
GSM748346
[287]
GSM748347
[288]
GSM748348
[289]
GSM748349
[290]
GSM748350
[291]
GSM748351
[292]
GSM748352
[293]
GSM748353
[294]
GSM748354
[295]
GSM748355
[296]
GSM748356
[297]
GSM748357
[298]
GSM748358
[299]
GSM748359
[300]
GSM748360
[301]
GSM748361
[302]
GSM748362
[303]
GSM748363
[304]
GSM748364
[305]
GSM748365
[306]
GSM748366
sample_count
307
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
"Off-context" gene expression in lung cancer identifies a group of metastatic-prone tumors
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:GSE31547
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=GSE31547
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE31547
version
null
note
Data can be obtained from the corresponding author when required.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Data can be obtained from the corresponding author when required.
access_statement_kind
data_availability_statement
sample_accessions array · 50 items
[0]
GSM782978
[1]
GSM782979
[2]
GSM782980
[3]
GSM782981
[4]
GSM782982
[5]
GSM782983
[6]
GSM782984
[7]
GSM782985
[8]
GSM782986
[9]
GSM782987
[10]
GSM782988
[11]
GSM782989
[12]
GSM782990
[13]
GSM782991
[14]
GSM782992
[15]
GSM782993
[16]
GSM782994
[17]
GSM782995
[18]
GSM782996
[19]
GSM782997
[20]
GSM782998
[21]
GSM782999
[22]
GSM783000
[23]
GSM783001
[24]
GSM783002
[25]
GSM783003
[26]
GSM783004
[27]
GSM783005
[28]
GSM783006
[29]
GSM783007
[30]
GSM783008
[31]
GSM783009
[32]
GSM783010
[33]
GSM783011
[34]
GSM783012
[35]
GSM783013
[36]
GSM783014
[37]
GSM783015
[38]
GSM783016
[39]
GSM783017
[40]
GSM783018
[41]
GSM783019
[42]
GSM783020
[43]
GSM783021
[44]
GSM783022
[45]
GSM783023
[46]
GSM783024
[47]
GSM783025
[48]
GSM783026
[49]
GSM783027
sample_count
50
group_sizes
null
group_sizes_basis
null
platform
96
taxon
Homo sapiens
title
MSKCC-A Primary Lung Cancer Specimens
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:GSE37745
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=GSE37745
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE37745
version
null
note
Data can be obtained from the corresponding author when required.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Data can be obtained from the corresponding author when required.
access_statement_kind
data_availability_statement
sample_accessions array · 196 items
[0]
GSM1019138
[1]
GSM1019139
[2]
GSM1019140
[3]
GSM1019141
[4]
GSM1019142
[5]
GSM1019143
[6]
GSM1019144
[7]
GSM1019145
[8]
GSM1019146
[9]
GSM1019147
[10]
GSM1019148
[11]
GSM1019149
[12]
GSM1019150
[13]
GSM1019151
[14]
GSM1019152
[15]
GSM1019153
[16]
GSM1019154
[17]
GSM1019155
[18]
GSM1019156
[19]
GSM1019157
[20]
GSM1019158
[21]
GSM1019159
[22]
GSM1019160
[23]
GSM1019161
[24]
GSM1019162
[25]
GSM1019163
[26]
GSM1019164
[27]
GSM1019165
[28]
GSM1019166
[29]
GSM1019167
[30]
GSM1019168
[31]
GSM1019169
[32]
GSM1019170
[33]
GSM1019171
[34]
GSM1019172
[35]
GSM1019173
[36]
GSM1019174
[37]
GSM1019175
[38]
GSM1019176
[39]
GSM1019177
[40]
GSM1019178
[41]
GSM1019179
[42]
GSM1019180
[43]
GSM1019181
[44]
GSM1019182
[45]
GSM1019183
[46]
GSM1019184
[47]
GSM1019185
[48]
GSM1019186
[49]
GSM1019187
[50]
GSM1019188
[51]
GSM1019189
[52]
GSM1019190
[53]
GSM1019191
[54]
GSM1019192
[55]
GSM1019193
[56]
GSM1019194
[57]
GSM1019195
[58]
GSM1019196
[59]
GSM1019197
[60]
GSM1019198
[61]
GSM1019199
[62]
GSM1019200
[63]
GSM1019201
[64]
GSM1019202
[65]
GSM1019203
[66]
GSM1019204
[67]
GSM1019205
[68]
GSM1019206
[69]
GSM1019207
[70]
GSM1019208
[71]
GSM1019209
[72]
GSM1019210
[73]
GSM1019211
[74]
GSM1019212
[75]
GSM1019213
[76]
GSM1019214
[77]
GSM1019215
[78]
GSM1019216
[79]
GSM1019217
[80]
GSM1019218
[81]
GSM1019219
[82]
GSM1019220
[83]
GSM1019221
[84]
GSM1019222
[85]
GSM1019223
[86]
GSM1019224
[87]
GSM1019225
[88]
GSM1019226
[89]
GSM1019227
[90]
GSM1019228
[91]
GSM1019229
[92]
GSM1019230
[93]
GSM1019231
[94]
GSM1019232
[95]
GSM1019233
[96]
GSM1019234
[97]
GSM1019235
[98]
GSM1019236
[99]
GSM1019237
[100]
GSM1019238
[101]
GSM1019239
[102]
GSM1019240
[103]
GSM1019241
[104]
GSM1019242
[105]
GSM1019243
[106]
GSM1019244
[107]
GSM1019245
[108]
GSM1019246
[109]
GSM1019247
[110]
GSM1019248
[111]
GSM1019249
[112]
GSM1019250
[113]
GSM1019251
[114]
GSM1019252
[115]
GSM1019253
[116]
GSM1019254
[117]
GSM1019255
[118]
GSM1019256
[119]
GSM1019257
[120]
GSM1019258
[121]
GSM1019259
[122]
GSM1019260
[123]
GSM1019261
[124]
GSM1019262
[125]
GSM1019263
[126]
GSM1019264
[127]
GSM1019265
[128]
GSM1019266
[129]
GSM1019267
[130]
GSM1019268
[131]
GSM1019269
[132]
GSM1019270
[133]
GSM1019271
[134]
GSM1019272
[135]
GSM1019273
[136]
GSM1019274
[137]
GSM1019275
[138]
GSM1019276
[139]
GSM1019277
[140]
GSM1019278
[141]
GSM1019279
[142]
GSM1019280
[143]
GSM1019281
[144]
GSM1019282
[145]
GSM1019283
[146]
GSM1019284
[147]
GSM1019285
[148]
GSM1019286
[149]
GSM1019287
[150]
GSM1019288
[151]
GSM1019289
[152]
GSM1019290
[153]
GSM1019291
[154]
GSM1019292
[155]
GSM1019293
[156]
GSM1019294
[157]
GSM1019295
[158]
GSM1019296
[159]
GSM1019297
[160]
GSM1019298
[161]
GSM1019299
[162]
GSM1019300
[163]
GSM1019301
[164]
GSM1019302
[165]
GSM1019303
[166]
GSM1019304
[167]
GSM1019305
[168]
GSM1019306
[169]
GSM1019307
[170]
GSM1019308
[171]
GSM1019309
[172]
GSM1019310
[173]
GSM1019311
[174]
GSM1019312
[175]
GSM1019313
[176]
GSM1019314
[177]
GSM1019315
[178]
GSM1019316
[179]
GSM1019317
[180]
GSM1019318
[181]
GSM1019319
[182]
GSM1019320
[183]
GSM1019321
[184]
GSM1019322
[185]
GSM1019323
[186]
GSM1019324
[187]
GSM1019325
[188]
GSM1019326
[189]
GSM1019327
[190]
GSM1019328
[191]
GSM1019329
[192]
GSM1019330
[193]
GSM1019331
[194]
GSM1019332
[195]
GSM1019333
sample_count
196
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Biomarker discovery in non-small cell lung cancer: integrating gene expression profiling, meta-analysis and tissue microarray validation
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:GSE41271
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=GSE41271
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE41271
version
null
note
Data can be obtained from the corresponding author when required.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Data can be obtained from the corresponding author when required.
access_statement_kind
data_availability_statement
sample_accessions array · 275 items
[0]
GSM1012828
[1]
GSM1012829
[2]
GSM1012830
[3]
GSM1012831
[4]
GSM1012832
[5]
GSM1012833
[6]
GSM1012834
[7]
GSM1012835
[8]
GSM1012836
[9]
GSM1012837
[10]
GSM1012838
[11]
GSM1012839
[12]
GSM1012840
[13]
GSM1012841
[14]
GSM1012842
[15]
GSM1012843
[16]
GSM1012844
[17]
GSM1012845
[18]
GSM1012846
[19]
GSM1012847
[20]
GSM1012848
[21]
GSM1012849
[22]
GSM1012850
[23]
GSM1012851
[24]
GSM1012852
[25]
GSM1012853
[26]
GSM1012854
[27]
GSM1012855
[28]
GSM1012856
[29]
GSM1012857
[30]
GSM1012858
[31]
GSM1012859
[32]
GSM1012860
[33]
GSM1012861
[34]
GSM1012862
[35]
GSM1012863
[36]
GSM1012864
[37]
GSM1012865
[38]
GSM1012866
[39]
GSM1012867
[40]
GSM1012868
[41]
GSM1012869
[42]
GSM1012870
[43]
GSM1012871
[44]
GSM1012872
[45]
GSM1012873
[46]
GSM1012874
[47]
GSM1012875
[48]
GSM1012876
[49]
GSM1012877
[50]
GSM1012878
[51]
GSM1012879
[52]
GSM1012880
[53]
GSM1012881
[54]
GSM1012882
[55]
GSM1012883
[56]
GSM1012884
[57]
GSM1012885
[58]
GSM1012886
[59]
GSM1012887
[60]
GSM1012888
[61]
GSM1012889
[62]
GSM1012890
[63]
GSM1012891
[64]
GSM1012892
[65]
GSM1012893
[66]
GSM1012894
[67]
GSM1012895
[68]
GSM1012896
[69]
GSM1012897
[70]
GSM1012898
[71]
GSM1012899
[72]
GSM1012900
[73]
GSM1012901
[74]
GSM1012902
[75]
GSM1012903
[76]
GSM1012904
[77]
GSM1012905
[78]
GSM1012906
[79]
GSM1012907
[80]
GSM1012908
[81]
GSM1012909
[82]
GSM1012910
[83]
GSM1012911
[84]
GSM1012912
[85]
GSM1012913
[86]
GSM1012914
[87]
GSM1012915
[88]
GSM1012916
[89]
GSM1012917
[90]
GSM1012918
[91]
GSM1012919
[92]
GSM1012920
[93]
GSM1012921
[94]
GSM1012922
[95]
GSM1012923
[96]
GSM1012924
[97]
GSM1012925
[98]
GSM1012926
[99]
GSM1012927
[100]
GSM1012928
[101]
GSM1012929
[102]
GSM1012930
[103]
GSM1012931
[104]
GSM1012932
[105]
GSM1012933
[106]
GSM1012934
[107]
GSM1012935
[108]
GSM1012936
[109]
GSM1012937
[110]
GSM1012938
[111]
GSM1012939
[112]
GSM1012940
[113]
GSM1012941
[114]
GSM1012942
[115]
GSM1012943
[116]
GSM1012944
[117]
GSM1012945
[118]
GSM1012946
[119]
GSM1012947
[120]
GSM1012948
[121]
GSM1012949
[122]
GSM1012950
[123]
GSM1012951
[124]
GSM1012952
[125]
GSM1012953
[126]
GSM1012954
[127]
GSM1012955
[128]
GSM1012956
[129]
GSM1012957
[130]
GSM1012958
[131]
GSM1012959
[132]
GSM1012960
[133]
GSM1012961
[134]
GSM1012962
[135]
GSM1012963
[136]
GSM1012964
[137]
GSM1012965
[138]
GSM1012966
[139]
GSM1012967
[140]
GSM1012968
[141]
GSM1012969
[142]
GSM1012970
[143]
GSM1012971
[144]
GSM1012972
[145]
GSM1012973
[146]
GSM1012974
[147]
GSM1012975
[148]
GSM1012976
[149]
GSM1012977
[150]
GSM1012978
[151]
GSM1012979
[152]
GSM1012980
[153]
GSM1012981
[154]
GSM1012982
[155]
GSM1012983
[156]
GSM1012984
[157]
GSM1012985
[158]
GSM1012986
[159]
GSM1012987
[160]
GSM1012988
[161]
GSM1012989
[162]
GSM1012990
[163]
GSM1012991
[164]
GSM1012992
[165]
GSM1012993
[166]
GSM1012994
[167]
GSM1012995
[168]
GSM1012996
[169]
GSM1012997
[170]
GSM1012998
[171]
GSM1012999
[172]
GSM1013000
[173]
GSM1013001
[174]
GSM1013002
[175]
GSM1013003
[176]
GSM1013004
[177]
GSM1013005
[178]
GSM1013006
[179]
GSM1013007
[180]
GSM1013008
[181]
GSM1013009
[182]
GSM1013010
[183]
GSM1013011
[184]
GSM1013012
[185]
GSM1013013
[186]
GSM1013014
[187]
GSM1013015
[188]
GSM1013016
[189]
GSM1013017
[190]
GSM1013018
[191]
GSM1013019
[192]
GSM1013020
[193]
GSM1013021
[194]
GSM1013022
[195]
GSM1013023
[196]
GSM1013024
[197]
GSM1013025
[198]
GSM1013026
[199]
GSM1013027
[200]
GSM1013028
[201]
GSM1013029
[202]
GSM1013030
[203]
GSM1013031
[204]
GSM1013032
[205]
GSM1013033
[206]
GSM1013034
[207]
GSM1013035
[208]
GSM1013036
[209]
GSM1013037
[210]
GSM1013038
[211]
GSM1013039
[212]
GSM1013040
[213]
GSM1013041
[214]
GSM1013042
[215]
GSM1013043
[216]
GSM1013044
[217]
GSM1013045
[218]
GSM1013046
[219]
GSM1013047
[220]
GSM1013048
[221]
GSM1013049
[222]
GSM1013050
[223]
GSM1013051
[224]
GSM1013052
[225]
GSM1013053
[226]
GSM1013054
[227]
GSM1013055
[228]
GSM1013056
[229]
GSM1013057
[230]
GSM1013058
[231]
GSM1013059
[232]
GSM1013060
[233]
GSM1013061
[234]
GSM1013062
[235]
GSM1013063
[236]
GSM1013064
[237]
GSM1013065
[238]
GSM1013066
[239]
GSM1013067
[240]
GSM1013068
[241]
GSM1013069
[242]
GSM1013070
[243]
GSM1013071
[244]
GSM1013072
[245]
GSM1013073
[246]
GSM1013074
[247]
GSM1013075
[248]
GSM1013076
[249]
GSM1013077
[250]
GSM1013078
[251]
GSM1013079
[252]
GSM1013080
[253]
GSM1013081
[254]
GSM1013082
[255]
GSM1013083
[256]
GSM1013084
[257]
GSM1013085
[258]
GSM1013086
[259]
GSM1013087
[260]
GSM1013088
[261]
GSM1013089
[262]
GSM1013090
[263]
GSM1013091
[264]
GSM1013092
[265]
GSM1013093
[266]
GSM1013094
[267]
GSM1013095
[268]
GSM1013096
[269]
GSM1013097
[270]
GSM1013098
[271]
GSM1013099
[272]
GSM1013100
[273]
GSM1013101
[274]
GSM1013102
sample_count
275
group_sizes
null
group_sizes_basis
null
platform
6884
taxon
Homo sapiens
title
Expression profiling of 275 lung cancer specimens
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:GSE42127
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=GSE42127
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE42127
version
null
note
Data can be obtained from the corresponding author when required.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Data can be obtained from the corresponding author when required.
access_statement_kind
data_availability_statement
sample_accessions array · 176 items
[0]
GSM1032881
[1]
GSM1032882
[2]
GSM1032883
[3]
GSM1032884
[4]
GSM1032885
[5]
GSM1032886
[6]
GSM1032887
[7]
GSM1032888
[8]
GSM1032889
[9]
GSM1032890
[10]
GSM1032891
[11]
GSM1032892
[12]
GSM1032893
[13]
GSM1032894
[14]
GSM1032895
[15]
GSM1032896
[16]
GSM1032897
[17]
GSM1032898
[18]
GSM1032899
[19]
GSM1032900
[20]
GSM1032901
[21]
GSM1032902
[22]
GSM1032903
[23]
GSM1032904
[24]
GSM1032905
[25]
GSM1032906
[26]
GSM1032907
[27]
GSM1032908
[28]
GSM1032909
[29]
GSM1032910
[30]
GSM1032911
[31]
GSM1032912
[32]
GSM1032913
[33]
GSM1032914
[34]
GSM1032915
[35]
GSM1032916
[36]
GSM1032917
[37]
GSM1032918
[38]
GSM1032919
[39]
GSM1032920
[40]
GSM1032921
[41]
GSM1032922
[42]
GSM1032923
[43]
GSM1032924
[44]
GSM1032925
[45]
GSM1032926
[46]
GSM1032927
[47]
GSM1032928
[48]
GSM1032929
[49]
GSM1032930
[50]
GSM1032931
[51]
GSM1032932
[52]
GSM1032933
[53]
GSM1032934
[54]
GSM1032935
[55]
GSM1032936
[56]
GSM1032937
[57]
GSM1032938
[58]
GSM1032939
[59]
GSM1032940
[60]
GSM1032941
[61]
GSM1032942
[62]
GSM1032943
[63]
GSM1032944
[64]
GSM1032945
[65]
GSM1032946
[66]
GSM1032947
[67]
GSM1032948
[68]
GSM1032949
[69]
GSM1032950
[70]
GSM1032951
[71]
GSM1032952
[72]
GSM1032953
[73]
GSM1032954
[74]
GSM1032955
[75]
GSM1032956
[76]
GSM1032957
[77]
GSM1032958
[78]
GSM1032959
[79]
GSM1032960
[80]
GSM1032961
[81]
GSM1032962
[82]
GSM1032963
[83]
GSM1032964
[84]
GSM1032965
[85]
GSM1032966
[86]
GSM1032967
[87]
GSM1032968
[88]
GSM1032969
[89]
GSM1032970
[90]
GSM1032971
[91]
GSM1032972
[92]
GSM1032973
[93]
GSM1032974
[94]
GSM1032975
[95]
GSM1032976
[96]
GSM1032977
[97]
GSM1032978
[98]
GSM1032979
[99]
GSM1032980
[100]
GSM1032981
[101]
GSM1032982
[102]
GSM1032983
[103]
GSM1032984
[104]
GSM1032985
[105]
GSM1032986
[106]
GSM1032987
[107]
GSM1032988
[108]
GSM1032989
[109]
GSM1032990
[110]
GSM1032991
[111]
GSM1032992
[112]
GSM1032993
[113]
GSM1032994
[114]
GSM1032995
[115]
GSM1032996
[116]
GSM1032997
[117]
GSM1032998
[118]
GSM1032999
[119]
GSM1033000
[120]
GSM1033001
[121]
GSM1033002
[122]
GSM1033003
[123]
GSM1033004
[124]
GSM1033005
[125]
GSM1033006
[126]
GSM1033007
[127]
GSM1033008
[128]
GSM1033009
[129]
GSM1033010
[130]
GSM1033011
[131]
GSM1033012
[132]
GSM1033013
[133]
GSM1033014
[134]
GSM1033015
[135]
GSM1033016
[136]
GSM1033017
[137]
GSM1033018
[138]
GSM1033019
[139]
GSM1033020
[140]
GSM1033021
[141]
GSM1033022
[142]
GSM1033023
[143]
GSM1033024
[144]
GSM1033025
[145]
GSM1033026
[146]
GSM1033027
[147]
GSM1033028
[148]
GSM1033029
[149]
GSM1033030
[150]
GSM1033031
[151]
GSM1033032
[152]
GSM1033033
[153]
GSM1033034
[154]
GSM1033035
[155]
GSM1033036
[156]
GSM1033037
[157]
GSM1033038
[158]
GSM1033039
[159]
GSM1033040
[160]
GSM1033041
[161]
GSM1033042
[162]
GSM1033043
[163]
GSM1033044
[164]
GSM1033045
[165]
GSM1033046
[166]
GSM1033047
[167]
GSM1033048
[168]
GSM1033049
[169]
GSM1033050
[170]
GSM1033051
[171]
GSM1033052
[172]
GSM1033053
[173]
GSM1033054
[174]
GSM1033055
[175]
GSM1033056
sample_count
176
group_sizes
null
group_sizes_basis
null
platform
6884
taxon
Homo sapiens
title
Expression data for non-small-cell lung cancer
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:GSE72094
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=GSE72094
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE72094
version
null
note
Data can be obtained from the corresponding author when required.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Data can be obtained from the corresponding author when required.
access_statement_kind
data_availability_statement
sample_accessions array · 442 items
[0]
GSM1854797
[1]
GSM1854798
[2]
GSM1854799
[3]
GSM1854800
[4]
GSM1854801
[5]
GSM1854802
[6]
GSM1854803
[7]
GSM1854804
[8]
GSM1854805
[9]
GSM1854806
[10]
GSM1854807
[11]
GSM1854808
[12]
GSM1854809
[13]
GSM1854810
[14]
GSM1854811
[15]
GSM1854812
[16]
GSM1854813
[17]
GSM1854814
[18]
GSM1854815
[19]
GSM1854816
[20]
GSM1854817
[21]
GSM1854818
[22]
GSM1854819
[23]
GSM1854820
[24]
GSM1854821
[25]
GSM1854822
[26]
GSM1854823
[27]
GSM1854824
[28]
GSM1854825
[29]
GSM1854826
[30]
GSM1854827
[31]
GSM1854828
[32]
GSM1854829
[33]
GSM1854830
[34]
GSM1854831
[35]
GSM1854832
[36]
GSM1854833
[37]
GSM1854834
[38]
GSM1854835
[39]
GSM1854836
[40]
GSM1854837
[41]
GSM1854838
[42]
GSM1854839
[43]
GSM1854840
[44]
GSM1854841
[45]
GSM1854842
[46]
GSM1854843
[47]
GSM1854844
[48]
GSM1854845
[49]
GSM1854846
[50]
GSM1854847
[51]
GSM1854848
[52]
GSM1854849
[53]
GSM1854850
[54]
GSM1854851
[55]
GSM1854852
[56]
GSM1854853
[57]
GSM1854854
[58]
GSM1854855
[59]
GSM1854856
[60]
GSM1854857
[61]
GSM1854858
[62]
GSM1854859
[63]
GSM1854860
[64]
GSM1854861
[65]
GSM1854862
[66]
GSM1854863
[67]
GSM1854864
[68]
GSM1854865
[69]
GSM1854866
[70]
GSM1854867
[71]
GSM1854868
[72]
GSM1854869
[73]
GSM1854870
[74]
GSM1854871
[75]
GSM1854872
[76]
GSM1854873
[77]
GSM1854874
[78]
GSM1854875
[79]
GSM1854876
[80]
GSM1854877
[81]
GSM1854878
[82]
GSM1854879
[83]
GSM1854880
[84]
GSM1854881
[85]
GSM1854882
[86]
GSM1854883
[87]
GSM1854884
[88]
GSM1854885
[89]
GSM1854886
[90]
GSM1854887
[91]
GSM1854888
[92]
GSM1854889
[93]
GSM1854890
[94]
GSM1854891
[95]
GSM1854892
[96]
GSM1854893
[97]
GSM1854894
[98]
GSM1854895
[99]
GSM1854896
[100]
GSM1854897
[101]
GSM1854898
[102]
GSM1854899
[103]
GSM1854900
[104]
GSM1854901
[105]
GSM1854902
[106]
GSM1854903
[107]
GSM1854904
[108]
GSM1854905
[109]
GSM1854906
[110]
GSM1854907
[111]
GSM1854908
[112]
GSM1854909
[113]
GSM1854910
[114]
GSM1854911
[115]
GSM1854912
[116]
GSM1854913
[117]
GSM1854914
[118]
GSM1854915
[119]
GSM1854916
[120]
GSM1854917
[121]
GSM1854918
[122]
GSM1854919
[123]
GSM1854920
[124]
GSM1854921
[125]
GSM1854922
[126]
GSM1854923
[127]
GSM1854924
[128]
GSM1854925
[129]
GSM1854926
[130]
GSM1854927
[131]
GSM1854928
[132]
GSM1854929
[133]
GSM1854930
[134]
GSM1854931
[135]
GSM1854932
[136]
GSM1854933
[137]
GSM1854934
[138]
GSM1854935
[139]
GSM1854936
[140]
GSM1854937
[141]
GSM1854938
[142]
GSM1854939
[143]
GSM1854940
[144]
GSM1854941
[145]
GSM1854942
[146]
GSM1854943
[147]
GSM1854944
[148]
GSM1854945
[149]
GSM1854946
[150]
GSM1854947
[151]
GSM1854948
[152]
GSM1854949
[153]
GSM1854950
[154]
GSM1854951
[155]
GSM1854952
[156]
GSM1854953
[157]
GSM1854954
[158]
GSM1854955
[159]
GSM1854956
[160]
GSM1854957
[161]
GSM1854958
[162]
GSM1854959
[163]
GSM1854960
[164]
GSM1854961
[165]
GSM1854962
[166]
GSM1854963
[167]
GSM1854964
[168]
GSM1854965
[169]
GSM1854966
[170]
GSM1854967
[171]
GSM1854968
[172]
GSM1854969
[173]
GSM1854970
[174]
GSM1854971
[175]
GSM1854972
[176]
GSM1854973
[177]
GSM1854974
[178]
GSM1854975
[179]
GSM1854976
[180]
GSM1854977
[181]
GSM1854978
[182]
GSM1854979
[183]
GSM1854980
[184]
GSM1854981
[185]
GSM1854982
[186]
GSM1854983
[187]
GSM1854984
[188]
GSM1854985
[189]
GSM1854986
[190]
GSM1854987
[191]
GSM1854988
[192]
GSM1854989
[193]
GSM1854990
[194]
GSM1854991
[195]
GSM1854992
[196]
GSM1854993
[197]
GSM1854994
[198]
GSM1854995
[199]
GSM1854996
[200]
GSM1854997
[201]
GSM1854998
[202]
GSM1854999
[203]
GSM1855000
[204]
GSM1855001
[205]
GSM1855002
[206]
GSM1855003
[207]
GSM1855004
[208]
GSM1855005
[209]
GSM1855006
[210]
GSM1855007
[211]
GSM1855008
[212]
GSM1855009
[213]
GSM1855010
[214]
GSM1855011
[215]
GSM1855012
[216]
GSM1855013
[217]
GSM1855014
[218]
GSM1855015
[219]
GSM1855016
[220]
GSM1855017
[221]
GSM1855018
[222]
GSM1855019
[223]
GSM1855020
[224]
GSM1855021
[225]
GSM1855022
[226]
GSM1855023
[227]
GSM1855024
[228]
GSM1855025
[229]
GSM1855026
[230]
GSM1855027
[231]
GSM1855028
[232]
GSM1855029
[233]
GSM1855030
[234]
GSM1855031
[235]
GSM1855032
[236]
GSM1855033
[237]
GSM1855034
[238]
GSM1855035
[239]
GSM1855036
[240]
GSM1855037
[241]
GSM1855038
[242]
GSM1855039
[243]
GSM1855040
[244]
GSM1855041
[245]
GSM1855042
[246]
GSM1855043
[247]
GSM1855044
[248]
GSM1855045
[249]
GSM1855046
[250]
GSM1855047
[251]
GSM1855048
[252]
GSM1855049
[253]
GSM1855050
[254]
GSM1855051
[255]
GSM1855052
[256]
GSM1855053
[257]
GSM1855054
[258]
GSM1855055
[259]
GSM1855056
[260]
GSM1855057
[261]
GSM1855058
[262]
GSM1855059
[263]
GSM1855060
[264]
GSM1855061
[265]
GSM1855062
[266]
GSM1855063
[267]
GSM1855064
[268]
GSM1855065
[269]
GSM1855066
[270]
GSM1855067
[271]
GSM1855068
[272]
GSM1855069
[273]
GSM1855070
[274]
GSM1855071
[275]
GSM1855072
[276]
GSM1855073
[277]
GSM1855074
[278]
GSM1855075
[279]
GSM1855076
[280]
GSM1855077
[281]
GSM1855078
[282]
GSM1855079
[283]
GSM1855080
[284]
GSM1855081
[285]
GSM1855082
[286]
GSM1855083
[287]
GSM1855084
[288]
GSM1855085
[289]
GSM1855086
[290]
GSM1855087
[291]
GSM1855088
[292]
GSM1855089
[293]
GSM1855090
[294]
GSM1855091
[295]
GSM1855092
[296]
GSM1855093
[297]
GSM1855094
[298]
GSM1855095
[299]
GSM1855096
[300]
GSM1855097
[301]
GSM1855098
[302]
GSM1855099
[303]
GSM1855100
[304]
GSM1855101
[305]
GSM1855102
[306]
GSM1855103
[307]
GSM1855104
[308]
GSM1855105
[309]
GSM1855106
[310]
GSM1855107
[311]
GSM1855108
[312]
GSM1855109
[313]
GSM1855110
[314]
GSM1855111
[315]
GSM1855112
[316]
GSM1855113
[317]
GSM1855114
[318]
GSM1855115
[319]
GSM1855116
[320]
GSM1855117
[321]
GSM1855118
[322]
GSM1855119
[323]
GSM1855120
[324]
GSM1855121
[325]
GSM1855122
[326]
GSM1855123
[327]
GSM1855124
[328]
GSM1855125
[329]
GSM1855126
[330]
GSM1855127
[331]
GSM1855128
[332]
GSM1855129
[333]
GSM1855130
[334]
GSM1855131
[335]
GSM1855132
[336]
GSM1855133
[337]
GSM1855134
[338]
GSM1855135
[339]
GSM1855136
[340]
GSM1855137
[341]
GSM1855138
[342]
GSM1855139
[343]
GSM1855140
[344]
GSM1855141
[345]
GSM1855142
[346]
GSM1855143
[347]
GSM1855144
[348]
GSM1855145
[349]
GSM1855146
[350]
GSM1855147
[351]
GSM1855148
[352]
GSM1855149
[353]
GSM1855150
[354]
GSM1855151
[355]
GSM1855152
[356]
GSM1855153
[357]
GSM1855154
[358]
GSM1855155
[359]
GSM1855156
[360]
GSM1855157
[361]
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[362]
GSM1855159
[363]
GSM1855160
[364]
GSM1855161
[365]
GSM1855162
[366]
GSM1855163
[367]
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[368]
GSM1855165
[369]
GSM1855166
[370]
GSM1855167
[371]
GSM1855168
[372]
GSM1855169
[373]
GSM1855170
[374]
GSM1855171
[375]
GSM1855172
[376]
GSM1855173
[377]
GSM1855174
[378]
GSM1855175
[379]
GSM1855176
[380]
GSM1855177
[381]
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[382]
GSM1855179
[383]
GSM1855180
[384]
GSM1855181
[385]
GSM1855182
[386]
GSM1855183
[387]
GSM1855184
[388]
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[389]
GSM1855186
[390]
GSM1855187
[391]
GSM1855188
[392]
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[393]
GSM1855190
[394]
GSM1855191
[395]
GSM1855192
[396]
GSM1855193
[397]
GSM1855194
[398]
GSM1855195
[399]
GSM1855196
[400]
GSM1855197
[401]
GSM1855198
[402]
GSM1855199
[403]
GSM1855200
[404]
GSM1855201
[405]
GSM1855202
[406]
GSM1855203
[407]
GSM1855204
[408]
GSM1855205
[409]
GSM1855206
[410]
GSM1855207
[411]
GSM1855208
[412]
GSM1855209
[413]
GSM1855210
[414]
GSM1855211
[415]
GSM1855212
[416]
GSM1855213
[417]
GSM1855214
[418]
GSM1855215
[419]
GSM1855216
[420]
GSM1855217
[421]
GSM1855218
[422]
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[423]
GSM1855220
[424]
GSM1855221
[425]
GSM1855222
[426]
GSM1855223
[427]
GSM1855224
[428]
GSM1855225
[429]
GSM1855226
[430]
GSM1855227
[431]
GSM1855228
[432]
GSM1855229
[433]
GSM1855230
[434]
GSM1855231
[435]
GSM1855232
[436]
GSM1855233
[437]
GSM1855234
[438]
GSM1855235
[439]
GSM1855236
[440]
GSM1855237
[441]
GSM1855238
sample_count
442
group_sizes
null
group_sizes_basis
null
platform
15048
taxon
Homo sapiens
title
KRAS mutation-associated gene expression, p53 and STK11 mutations, proliferation and immune surveillance in lung adenocarcinoma
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[9] object · 15 fields
id
data:geo:PRJEB23709
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=PRJEB23709
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
PRJEB23709
version
null
note
Data can be obtained from the corresponding author when required.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Data can be obtained from the corresponding author when required.
access_statement_kind
data_availability_statement
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null
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null
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null
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null
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null
title
null
resolution_checked_at
2026-11-01T18:46:43Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 18 items
[0]
asset:data:geo:GSE117570 not downloaded
[1]
asset:data:geo:GSE117570 licence not read
[2]
asset:data:geo:GSE19188 not downloaded
[3]
asset:data:geo:GSE19188 licence not read
[4]
asset:data:geo:GSE30219 not downloaded
[5]
asset:data:geo:GSE30219 licence not read
[6]
asset:data:geo:GSE31547 not downloaded
[7]
asset:data:geo:GSE31547 licence not read
[8]
asset:data:geo:GSE37745 not downloaded
[9]
asset:data:geo:GSE37745 licence not read
[10]
asset:data:geo:GSE41271 not downloaded
[11]
asset:data:geo:GSE41271 licence not read
[12]
asset:data:geo:GSE42127 not downloaded
[13]
asset:data:geo:GSE42127 licence not read
[14]
asset:data:geo:GSE72094 not downloaded
[15]
asset:data:geo:GSE72094 licence not read
[16]
asset:data:geo:PRJEB23709 not downloaded
[17]
asset:data:geo:PRJEB23709 licence not read
analysis object · 4 fields
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partial
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method-1
family
survival_analysis
specific
cox_proportional_hazards
label
Survival analysis
dsl_operations array · 1 item
[0]
cox_ph
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parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
1
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verbatim
quote
We performed univariate cox regression on all lipid metabolism-related genes to evaluate their impacts on the prognosis of LUAD patients.
[1] object · 10 fields
id
method-2
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group_comparison
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wilcoxon
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Group comparison
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missing_operations array · 1 item
[0]
group_comparison_wilcoxon
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false
parameters object · 0 fields
data_shapes array · 1 item
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two_or_more_groups_continuous
evidence object · 3 fields
score
0.7
band
medium
quote
Wilcoxon
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id
method-3
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correlation_analysis
specific
spearman
label
Correlation analysis
dsl_operations array · 1 item
[0]
spearman_rho
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
paired_numeric_columns
evidence object · 3 fields
score
0.8
band
high
quote
Spearman correlation
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gaps array · 1 item
[0]
method.reader_differs_from_extractor
capability object · 3 fields
state
complete
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[0] object · 6 fields
capability_id
capability:computational_analysis
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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
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true
required_operations array · 1 item
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cox_ph
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: cox_proportional_hazards.
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
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accessions array · 9 items
[0]
GSE37745
[1]
GSE19188
[2]
GSE30219
[3]
GSE31547
[4]
GSE41271
[5]
GSE42127
[6]
GSE72094
[7]
PRJEB23709
[8]
GSE117570
resolved_accessions array · 8 items
[0]
GSE37745
[1]
GSE19188
[2]
GSE30219
[3]
GSE31547
[4]
GSE41271
[5]
GSE42127
[6]
GSE72094
[7]
GSE117570
statements array · 1 item
[0]
Data can be obtained from the corresponding author when required.
basis
The paper names GSE37745, GSE19188, GSE30219, GSE31547, GSE41271, GSE42127, GSE72094, GSE117570 in GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
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[0]
cox_ph
assets array · 2 items
[0]
source:pmid:37874388
[1]
data:geo:GSE117570
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run_analysis
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data_gaps array · 1 item
[0]
data:geo:GSE117570
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
2026-11-01T18:56:56Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
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5
usage object · 3 fields
prompt_tokens
10746
completion_tokens
1747
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0
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[0] object · 4 fields
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extraction
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review.independent_reader
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review.human_critique
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provenance object · 7 fields
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pmid:37874388
type
paper
label
pmid:37874388
[1] object · 3 fields
id
source:pmid:37874388
type
manuscript
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PMID 37874388 full text
[2] object · 3 fields
id
data:geo:GSE117570
type
dataset
label
GEO GSE117570
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[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
id
pmid:37874388
type
paper
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pmid:37874388
[1] object · 3 fields
id
source:pmid:37874388
type
manuscript
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PMID 37874388 full text
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id
data:geo:GSE117570
type
dataset
label
GEO GSE117570
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agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-37874388
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extraction
used array · 1 item
[0]
source:pmid:37874388
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agent:minimax-reader
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activity-resolve-GSE117570
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accession_resolution
used array · 1 item
[0]
data:geo:GSE117570
agent
agent:corpus-assay-engine
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agent:corpus-assay-engine
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agent:minimax-reader
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MiniMax literature reader
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dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
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lineage object · 4 fields
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pmid:37874388
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sha256:fa3d39ab9768c15b1200472b95d5acbe62cddab69f950c6cfdc253e44687d333
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gaps array · 23 items
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asset:data:geo:GSE117570 licence not read
[1]
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[2]
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[3]
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[4]
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[5]
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[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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[11]
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[12]
asset:data:geo:GSE42127 licence not read
[13]
asset:data:geo:GSE42127 not downloaded
[14]
asset:data:geo:GSE72094 licence not read
[15]
asset:data:geo:GSE72094 not downloaded
[16]
asset:data:geo:PRJEB23709 licence not read
[17]
asset:data:geo:PRJEB23709 not downloaded
[18]
execution.not_run
[19]
method.reader_differs_from_extractor
[20]
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[21]
review.independent_reader
[22]
review.machine_critique
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[0] object · 11 fields
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data_generation
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flow_cytometry
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99e1195c7d6f
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partial
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assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 1 item
[0]
ys including clone formation, EDU assays and flow cytometry were implemented to explore the phenotype al
order_basis
paper_text_order:1192
id
assay:1
[1] object · 11 fields
role
data_generation
definition_id
transfection
definition_version
99e1195c7d6f
required_operations array · 0 items
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99e1195c7d6f
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0.99
evidence array · 4 items
[0]
plore the phenotype alteration caused by the knockdown of PTDSS1, which is one of key gene in risk
[1]
Methods Cell culture and cell transfection Two cell lines of LUAD were used in this stu
[2]
bserve the morphology of the cells. For cell transfection, A549 and NCI-H1975 were transfected with PT
[3]
r cell transfection, A549 and NCI-H1975 were transfected with PTDSS1 knockdown siRNA. We used the 6-w
order_basis
paper_text_order:1274
id
assay:2
[2] object · 11 fields
role
data_generation
definition_id
scrna_seq
definition_version
99e1195c7d6f
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99e1195c7d6f
confidence
0.93
evidence array · 1 item
[0]
re model. RESULTS: We analyzed both bulk and single-cell RNA sequencing data to establish and validate a risk score
order_basis
paper_text_order:1376
id
assay:3
[3] object · 11 fields
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data_generation
definition_id
apoptosis_assay
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99e1195c7d6f
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source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 2 items
[0]
iferation of the cells was weakened, and the apoptosis of the cells was increased. CONCLUSION: Our
[1]
owed that PTDSS1 regulated proliferation and apoptosis of LUAD cells.
order_basis
paper_text_order:1985
id
assay:4
[4] object · 11 fields
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data_generation
definition_id
cell_culture
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99e1195c7d6f
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99e1195c7d6f
confidence
0.99
evidence array · 3 items
[0]
Biosciences (Suzhou, China). The cells were cultured in complete medium, which consisted of 90% DMEM
[1]
es of LUAD were used in this study. Both the A549 and NCI-H1975 were brought from Cyagen Biosc
[2]
phology of the cells. For cell transfection, A549 and NCI-H1975 were transfected with PTDSS1 k
order_basis
paper_text_order:2464
id
assay:5
[5] object · 11 fields
role
analysis
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survival_analysis
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f2132e96ae6c7a4e
required_operations array · 1 item
[0]
cox_ph
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supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
We performed univariate cox regression on all lipid metabolism-related genes to evaluate their impacts on the prognosis of LUAD patients.
order_basis
consumes_earlier_output
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37874388", "kind": "science-record", "revision": 4, "content_hash": "sha256:2855802460b2e6385d0d5ba114e4fd9180c11eed9e666446331eccca19c5d99a", "created_at": "2026-11-01T19:02:44Z", "updated_at": "2026-11-01T22:52:56Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "A risk score model based on lipid metabolism-related genes could predict response to immunotherapy and prognosis of lung adenocarcinoma: a multi-dataset study and cytological validation.", "doi": "10.1007/s12672-023-00802-3", "pmid": "37874388", "authors": ["Yangyang Lei", "Boxuan Zhou", "Xiangzhi Meng", "Mei Liang", "Weijian Song", "Yicheng Liang", "Yushun Gao", "Minghui Wang"], "journal": "Discover oncology", "year": 2023, "abstract": "BACKGROUND: Lipid metabolism is a key factor in tumorigenesis and drug resistance, and models related to lipid metabolism have shown potential to predict survival and curative effects of adjuvant therapy in various cancers. However, the relationship between lipid metabolism and prognosis and treatment response of lung adenocarcinoma (LUAD) are still unclear.\nMETHODS: We enrolled seven bulk RNA-sequence datasets (GSE37745, GSE19188, GSE30219, GSE31547, GSE41271, GSE42127, and GSE72094) from the GEO database and one single-cell RNA-sequencing dataset (GSE117570) from the TISCH2 database. Non-negative matrix factorization (NMF) was utilized to construct the risk score model based on lipid score calculated by GSVA algorithm. Phs000452.v3, PMID: 26359337, PMID: 32472114, PRJEB23709 datasets were used to test the response to immunotherapy. Drug sensitivity analysis was assessed according to the GDSC database, and immunotherapy response was evaluated using the Wilcoxon test. Cellular function assays including clone formation, EDU assays and flow cytometry were implemented to explore the phenotype alteration caused by the knockdown of PTDSS1, which is one of key gene in risk score model.\nRESULTS: We analyzed both bulk and single-cell RNA sequencing data to establish and validate a risk score model based on 18 lipid metabolism-related genes with significant impact on prognosis. After divided the patients into two groups according to risk score, we identified differences in lipid-related metabolic processes and a detailed portrait of the immune landscapes of high- and low-risk groups. Moreover, we investigated the potentials of our risk score in predicting response to immunotherapy and drug sensitivity. In addition, we silenced PTDSS1 in LUAD cell lines, and found that the proliferation of the cells was weakened, and the apoptosis of the cells was increased.\nCONCLUSION: Our study highlights the crucial roles of lipid metabolism in LUAD and provides a reliable risk score model, which can aid in predicting prognosis and response to immunotherapy. Furthermore, we investigated the roles of PTDSS1 in LUAD carcinogenesis, which showed that PTDSS1 regulated proliferation and apoptosis of LUAD cells.", "claims": [{"id": "claim-method", "statement": "We performed univariate cox regression on all lipid metabolism-related genes to evaluate their impacts on the prognosis of LUAD patients.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37874388", "locator": "sections[17] \"Prognostic analysis and model construction of lipid-score\" paragraph 2", "quote": "We performed univariate cox regression on all lipid metabolism-related genes to evaluate their impacts on the prognosis of LUAD patients."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Data can be obtained from the corresponding author when required.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37874388", "locator": "sections[29] \"Data availability\" paragraph 2", "quote": "Data can be obtained from the corresponding author when required."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Our study highlights the crucial roles of lipid metabolism in LUAD and provides a reliable risk score model, which can aid in predicting prognosis and response to immunotherapy.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37874388", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "Our study highlights the crucial roles of lipid metabolism in LUAD and provides a reliable risk score model, which can aid in predicting prognosis and response to immunotherapy."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Our study highlights the crucial roles of lipid metabolism in LUAD and provides a reliable risk score model, which can aid in predicting prognosis and response to immunotherapy.", "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:37874388"], "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:GSE117570"], "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:GSE117570"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:37874388", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1007/s12672-023-00802-3", "sha256": 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For cell transfection, A549 and NCI-H1975 were transfected with PT", "r cell transfection, A549 and NCI-H1975 were transfected with PTDSS1 knockdown siRNA. We used the 6-w"], "order_basis": "paper_text_order:1274", "id": "assay:2"}, {"role": "data_generation", "definition_id": "scrna_seq", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "unsupported", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["re model. RESULTS: We analyzed both bulk and single-cell RNA sequencing data to establish and validate a risk score"], "order_basis": "paper_text_order:1376", "id": "assay:3"}, {"role": "data_generation", "definition_id": "apoptosis_assay", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["iferation of the cells was weakened, and the apoptosis of the cells was increased. CONCLUSION: Our", "owed that PTDSS1 regulated proliferation and apoptosis of LUAD cells."], "order_basis": "paper_text_order:1985", "id": "assay:4"}, {"role": "data_generation", "definition_id": "cell_culture", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["Biosciences (Suzhou, China). The cells were cultured in complete medium, which consisted of 90% DMEM", "es of LUAD were used in this study. Both the A549 and NCI-H1975 were brought from Cyagen Biosc", "phology of the cells. For cell transfection, A549 and NCI-H1975 were transfected with PTDSS1 k"], "order_basis": "paper_text_order:2464", "id": "assay:5"}, {"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["cox_ph"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["We performed univariate cox regression on all lipid metabolism-related genes to evaluate their impacts on the prognosis of LUAD patients."], "order_basis": "consumes_earlier_output", "id": "assay:6"}]}