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pmid:30243023

A new risk score based on twelve hepatocellular carcinoma-specific gene expression can predict the patients' prognosis.

Ting Lin · Jingxian Gu · Kai Qu · Xing Zhang · Xiaohua Ma · Runchen Miao · Xiaohong Xiang · Yunong Fu · Wenquan Niu · Junjun She · Chang Liu

Aging · 2018 doi:10.18632/aging.101563

Paper

complete

Experiment

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Data

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Analysis

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Execution

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title
A new risk score based on twelve hepatocellular carcinoma-specific gene expression can predict the patients' prognosis.
doi
10.18632/aging.101563
pmid
30243023
authors array · 11 items
[0]
Ting Lin
[1]
Jingxian Gu
[2]
Kai Qu
[3]
Xing Zhang
[4]
Xiaohua Ma
[5]
Runchen Miao
[6]
Xiaohong Xiang
[7]
Yunong Fu
[8]
Wenquan Niu
[9]
Junjun She
[10]
Chang Liu
journal
Aging
year
2018
abstract
A large panel of molecular biomarkers have been identified to predict the prognosis of hepatocellular carcinoma (HCC), yet with limited clinical application due to difficult extrapolation. We here generated a genetic risk score system comprised of 12 HCC-specific genes to better predict the prognosis of HCC patients. Four genomics profiling datasets (GSE5851, GSE28691, GSE15765 and GSE14323) were searched to seek HCC-specific genes by comparisons between cancer samples and normal liver tissues and between different subtypes of hepatic neoplasms. Univariate survival analysis screened HCC-specific genes associated with overall survival (OS) in the training dataset for next-step risk model construction. The prognostic value of the constructed HCC risk score system was then validated in the TCGA dataset. Stratified analysis indicated this scoring system showed better performance in elderly male patients with HBV infection and preoperative lower levels of creatinine, alpha-fetoprotein and platelet and higher level of albumin. Functional annotation of this risk model in high-risk patients revealed that pathways associated with cell cycle, cell migration and inflammation were significantly enriched. In summary, our constructed HCC-specific gene risk model demonstrated robustness and potentiality in predicting the prognosis of HCC patients, especially among elderly male patients with HBV infection and relatively better general conditions.
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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
[3] object · 15 fields
id
data:geo:GSE15765
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=GSE15765
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE15765
version
null
note
We selected 75 CRCLM samples from GSE5851 (61) and GSE28691 (14), 70 HCC samples and 13 ICC samples from GSE15765 and 19 normal liver tissue samples from GSE14323 for integrated normalization and analysis.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We selected 75 CRCLM samples from GSE5851 (61) and GSE28691 (14), 70 HCC samples and 13 ICC samples from GSE15765 and 19 normal liver tissue samples from GSE14323 for integrated normalization and analysis.
access_statement_kind
repository_route_statement
sample_accessions array · 90 items
[0]
GSM395647
[1]
GSM395648
[2]
GSM395649
[3]
GSM395650
[4]
GSM395651
[5]
GSM395652
[6]
GSM395653
[7]
GSM395654
[8]
GSM395655
[9]
GSM395656
[10]
GSM395657
[11]
GSM395658
[12]
GSM395659
[13]
GSM395660
[14]
GSM395661
[15]
GSM395662
[16]
GSM395663
[17]
GSM395664
[18]
GSM395665
[19]
GSM395666
[20]
GSM395667
[21]
GSM395669
[22]
GSM395670
[23]
GSM395671
[24]
GSM395672
[25]
GSM395673
[26]
GSM395674
[27]
GSM395675
[28]
GSM395676
[29]
GSM395677
[30]
GSM395678
[31]
GSM395679
[32]
GSM395680
[33]
GSM395681
[34]
GSM395682
[35]
GSM395683
[36]
GSM395684
[37]
GSM395685
[38]
GSM395686
[39]
GSM395687
[40]
GSM395688
[41]
GSM395689
[42]
GSM395690
[43]
GSM395691
[44]
GSM395692
[45]
GSM395693
[46]
GSM395694
[47]
GSM395695
[48]
GSM395696
[49]
GSM395697
[50]
GSM395698
[51]
GSM395699
[52]
GSM395700
[53]
GSM395701
[54]
GSM395702
[55]
GSM395703
[56]
GSM395704
[57]
GSM395705
[58]
GSM395706
[59]
GSM395707
[60]
GSM395708
[61]
GSM395709
[62]
GSM395710
[63]
GSM395711
[64]
GSM395712
[65]
GSM395713
[66]
GSM395714
[67]
GSM395715
[68]
GSM395716
[69]
GSM395717
[70]
GSM395718
[71]
GSM395719
[72]
GSM395720
[73]
GSM395721
[74]
GSM395722
[75]
GSM395723
[76]
GSM395724
[77]
GSM395725
[78]
GSM395726
[79]
GSM395727
[80]
GSM395728
[81]
GSM395729
[82]
GSM395730
[83]
GSM395731
[84]
GSM395732
[85]
GSM395733
[86]
GSM395734
[87]
GSM395735
[88]
GSM395736
[89]
GSM395737
sample_count
90
group_sizes
null
group_sizes_basis
null
platform
571
taxon
Homo sapiens
title
Identification of cholangiocarcinoma-like gene expression traits in hepatocellular carcinoma
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[4] object · 15 fields
id
data:geo:GSE28691
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=GSE28691
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE28691
version
null
note
We selected 75 CRCLM samples from GSE5851 (61) and GSE28691 (14), 70 HCC samples and 13 ICC samples from GSE15765 and 19 normal liver tissue samples from GSE14323 for integrated normalization and analysis.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We selected 75 CRCLM samples from GSE5851 (61) and GSE28691 (14), 70 HCC samples and 13 ICC samples from GSE15765 and 19 normal liver tissue samples from GSE14323 for integrated normalization and analysis.
access_statement_kind
repository_route_statement
sample_accessions array · 42 items
[0]
GSM710556
[1]
GSM710557
[2]
GSM710558
[3]
GSM710559
[4]
GSM710560
[5]
GSM710561
[6]
GSM710562
[7]
GSM710563
[8]
GSM710564
[9]
GSM710565
[10]
GSM710566
[11]
GSM710567
[12]
GSM710568
[13]
GSM710569
[14]
GSM710570
[15]
GSM710572
[16]
GSM710573
[17]
GSM710574
[18]
GSM710575
[19]
GSM710576
[20]
GSM710577
[21]
GSM710578
[22]
GSM710579
[23]
GSM710580
[24]
GSM710581
[25]
GSM710582
[26]
GSM710583
[27]
GSM710584
[28]
GSM710585
[29]
GSM710586
[30]
GSM710587
[31]
GSM710588
[32]
GSM710589
[33]
GSM710590
[34]
GSM710591
[35]
GSM710592
[36]
GSM710593
[37]
GSM710594
[38]
GSM710595
[39]
GSM710596
[40]
GSM710597
[41]
GSM774389
sample_count
42
group_sizes
null
group_sizes_basis
null
platform
571
taxon
Homo sapiens
title
Characterization of an Oxaliplatin Sensitivity Predictor in a preclinical Murine Model of Colorectal Cancer
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:GSE5851
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=GSE5851
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE5851
version
null
note
We selected 75 CRCLM samples from GSE5851 (61) and GSE28691 (14), 70 HCC samples and 13 ICC samples from GSE15765 and 19 normal liver tissue samples from GSE14323 for integrated normalization and analysis.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
We selected 75 CRCLM samples from GSE5851 (61) and GSE28691 (14), 70 HCC samples and 13 ICC samples from GSE15765 and 19 normal liver tissue samples from GSE14323 for integrated normalization and analysis.
access_statement_kind
repository_route_statement
sample_accessions array · 80 items
[0]
GSM136578
[1]
GSM136579
[2]
GSM136580
[3]
GSM136581
[4]
GSM136582
[5]
GSM136583
[6]
GSM136584
[7]
GSM136585
[8]
GSM136586
[9]
GSM136587
[10]
GSM136588
[11]
GSM136589
[12]
GSM136590
[13]
GSM136591
[14]
GSM136592
[15]
GSM136593
[16]
GSM136594
[17]
GSM136595
[18]
GSM136596
[19]
GSM136597
[20]
GSM136598
[21]
GSM136599
[22]
GSM136600
[23]
GSM136601
[24]
GSM136602
[25]
GSM136603
[26]
GSM136604
[27]
GSM136605
[28]
GSM136606
[29]
GSM136607
[30]
GSM136608
[31]
GSM136609
[32]
GSM136610
[33]
GSM136611
[34]
GSM136612
[35]
GSM136613
[36]
GSM136614
[37]
GSM136615
[38]
GSM136616
[39]
GSM136617
[40]
GSM136618
[41]
GSM136619
[42]
GSM136620
[43]
GSM136621
[44]
GSM136622
[45]
GSM136623
[46]
GSM136624
[47]
GSM136625
[48]
GSM136626
[49]
GSM136627
[50]
GSM136628
[51]
GSM136629
[52]
GSM136630
[53]
GSM136631
[54]
GSM136632
[55]
GSM136633
[56]
GSM136634
[57]
GSM136635
[58]
GSM136636
[59]
GSM136637
[60]
GSM136638
[61]
GSM136639
[62]
GSM136640
[63]
GSM136641
[64]
GSM136642
[65]
GSM136643
[66]
GSM136644
[67]
GSM136645
[68]
GSM136646
[69]
GSM136647
[70]
GSM136648
[71]
GSM136649
[72]
GSM136650
[73]
GSM136651
[74]
GSM136652
[75]
GSM136653
[76]
GSM136654
[77]
GSM136655
[78]
GSM136656
[79]
GSM136657
sample_count
80
group_sizes
null
group_sizes_basis
null
platform
571
taxon
Homo sapiens
title
Phase II exploratory pharmacogenomics study of cetuximab monotherapy in patients with advanced metastatic CRC
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 · 16 fields
id
asset:table:pmid:30243023:1
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:cefdcc1030c74c413c8ca3dc88583a6563e558c76c1bdf638d2209deb3d339af
bytes
1593
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[5]/table-wrap[1]#t1
version
null
note
Univariate/multivariate Cox regression analysis of clinicopathologic factors associated with OS in TCGA cohort.
structure object · 5 fields
pmcid
PMC6188480
section_index
5
section_title
Validation and development of 12 HCC-specific gene signature for prognosis
row_count
18
column_count
6
table object · 8 fields
label
Table 1
caption
Univariate/multivariate Cox regression analysis of clinicopathologic factors associated with OS in TCGA cohort.
rows array · 18 items
[0] array · 4 items
[0]
Variables
[1]
Univariate analysis
[2]
[3]
Multivariate analysis
[1] array · 5 items
[0]
HR (95% CI)
[1]
P value
[2]
[3]
HR (95% CI)
[4]
P value
[2] array · 6 items
[0]
Risk score (> 8.9/≤ 8.9)
[1]
1.910(1.250-2.919)
[2]
0.003*
[3]
[4]
1.617(1.021-2.560)
[5]
0.040*
[3] array · 6 items
[0]
TNM stage (I/II/III/IV)
[1]
1.282(0.993-1.655)
[2]
0.057
[3]
[4]
—
[5]
—
[4] array · 6 items
[0]
Hepatitis (HBV/HCV/neither)
[1]
0.751(0.527-1.069)
[2]
0.112
[3]
[4]
—
[5]
—
[5] array · 6 items
[0]
Alcohol consumption (yes/no)
[1]
0.835(0.514-1.359)
[2]
0.469
[3]
[4]
—
[5]
—
[6] array · 6 items
[0]
Gender (female/male)
[1]
0.773(0.504-1.185)
[2]
0.237
[3]
[4]
—
[5]
—
[7] array · 6 items
[0]
Age (>50/≤50)
[1]
1.967(1.043-3.710)
[2]
0.037*
[3]
[4]
1.454(0.711-2.971)
[5]
0.305
[8] array · 6 items
[0]
Cirrhosis (yes/no)
[1]
0.865(0.471-1.587)
[2]
0.639
[3]
[4]
—
[5]
—
[9] array · 6 items
[0]
Albumin (≤3.5/>3.5 g/dl)
[1]
1.378(0.834-2.277)
[2]
0.211
[3]
[4]
—
[5]
—
[10] array · 6 items
[0]
Creatinine (<1.1/≥1.1 mg/dl)
[1]
0.739(0.455-1.199)
[2]
0.221
[3]
[4]
—
[5]
—
[11] array · 6 items
[0]
AFP a (≤300/>300 ng/ml)
[1]
0.900(0.513-1.582)
[2]
0.715
[3]
[4]
—
[5]
—
[12] array · 6 items
[0]
Platelet (≤300/>300×109/L)
[1]
0.753(0.466-1.216)
[2]
0.246
[3]
[4]
—
[5]
—
[13] array · 6 items
[0]
Race (Asian/White)
[1]
0.760(0.638-0.904)
[2]
0.002*
[3]
[4]
0.766(0.630-0.930)
[5]
0.007*
[14] array · 6 items
[0]
BMI b (≥25<25)
[1]
1.028(0.650-1.626)
[2]
0.905
[3]
[4]
—
[5]
—
[15] array · 6 items
[0]
Family history (yes/no)
[1]
1.800(1.152-2.812)
[2]
0.010*
[3]
[4]
1.271(0.778-2.077)
[5]
0.339
[16] array · 6 items
[0]
ECOG c
[1]
1.406(0.956-2.066)
[2]
0.083
[3]
[4]
—
[5]
—
[17] array · 6 items
[0]
Histological grade (G3-4/G1-2)
[1]
1.247(0.802-1.938)
[2]
0.327
[3]
[4]
—
[5]
—
locator
section[5]/table-wrap[1]#t1
[7] object · 16 fields
id
asset:table:pmid:30243023:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:f3a06cd1a17da4f7402be04faabc40c0ba81c9016afc31a3c1db93afec4c48a6
bytes
1600
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[5]/table-wrap[2]#t2
version
null
note
Univariate/multivariate Cox regression analysis of clinicopathologic factors associated with DFS in TCGA cohort.
structure object · 5 fields
pmcid
PMC6188480
section_index
5
section_title
Validation and development of 12 HCC-specific gene signature for prognosis
row_count
18
column_count
6
table object · 8 fields
label
Table 2
caption
Univariate/multivariate Cox regression analysis of clinicopathologic factors associated with DFS in TCGA cohort.
rows array · 18 items
[0] array · 4 items
[0]
Variables
[1]
Univariate analysis
[2]
[3]
Multivariate analysis
[1] array · 5 items
[0]
HR (95% CI)
[1]
P value
[2]
[3]
HR (95% CI)
[4]
P value
[2] array · 6 items
[0]
Risk score (> 8.9/≤ 8.9)
[1]
1.841(1.358-2.494)
[2]
<0.001*
[3]
[4]
1.483(1.038-2.117)
[5]
0.030*
[3] array · 6 items
[0]
TNM stage (I/II/III/IV)
[1]
1.727(1.441-2.070)
[2]
<0.001*
[3]
[4]
1.568(1.274-1.929)
[5]
<0.001*
[4] array · 6 items
[0]
Hepatitis (HBV/HCV/neither)
[1]
0.943(0.760-1.170)
[2]
0.592
[3]
[4]
—
[5]
—
[5] array · 6 items
[0]
Alcohol consumption (yes/no)
[1]
1.061(0.767-1.468)
[2]
0.720
[3]
[4]
—
[5]
—
[6] array · 6 items
[0]
Gender (female/male)
[1]
0.982(0.711-1.355)
[2]
0.911
[3]
[4]
—
[5]
—
[7] array · 6 items
[0]
Age (> 50/≤ 50)
[1]
1.015(0.693-1.487)
[2]
0.940
[3]
[4]
—
[5]
—
[8] array · 6 items
[0]
Cirrhosis (yes/no)
[1]
1.271(0.861-1.877)
[2]
0.228
[3]
[4]
—
[5]
—
[9] array · 6 items
[0]
Albumin (≤ 3.5/> 3.5 g/dl)
[1]
1.033(0.702-1.519)
[2]
0.870
[3]
[4]
—
[5]
—
[10] array · 6 items
[0]
Creatinine (< 1.1/≥ 1.1 mg/dl)
[1]
0.739(0.511-1.069)
[2]
0.109
[3]
[4]
—
[5]
—
[11] array · 6 items
[0]
AFP a (≤ 300/> 300 ng/ml)
[1]
1.035(0.681-1.573)
[2]
0.873
[3]
[4]
—
[5]
—
[12] array · 6 items
[0]
Platelet (≤ 300/> 300×109/L)
[1]
1.415(0.976-2.052)
[2]
0.067
[3]
[4]
—
[5]
—
[13] array · 6 items
[0]
Race (Asian/White)
[1]
0.787(0.575-1.078)
[2]
0.136
[3]
[4]
—
[5]
—
[14] array · 6 items
[0]
BMI b (≥ 25/< 25 kg/m2)
[1]
0.882(0.643-1.211)
[2]
0.437
[3]
[4]
—
[5]
—
[15] array · 6 items
[0]
Family history (yes/no)
[1]
0.920(0.655-1.292)
[2]
0.630
[3]
[4]
—
[5]
—
[16] array · 6 items
[0]
ECOG c
[1]
1.697(1.406-2.049)
[2]
<0.001*
[3]
[4]
1.389(1.138-1.695)
[5]
0.001*
[17] array · 6 items
[0]
Histological grade (G3-4/G1-2)
[1]
1.186(0.867-1.621)
[2]
0.286
[3]
[4]
—
[5]
—
locator
section[5]/table-wrap[2]#t2
[8] object · 16 fields
id
asset:table:pmid:30243023:3
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:7b80a4736802aaf63f78d8f52c516b3884c12520360f1b470625b4198aa3127c
bytes
4041
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[5]/table-wrap[3]#t3
version
null
note
Stratified analysis of overall and disease-free survival in TCGA samples.
structure object · 5 fields
pmcid
PMC6188480
section_index
5
section_title
Validation and development of 12 HCC-specific gene signature for prognosis
row_count
50
column_count
8
table object · 8 fields
label
Table 3
caption
Stratified analysis of overall and disease-free survival in TCGA samples.
rows array · 50 items
[0] array · 4 items
[0]
Characteristics
[1]
Overall survival
[2]
[3]
Disease-free survival
[1] array · 7 items
[0]
High-risk / low-risk
[1]
HR (95% CI)
[2]
P value
[3]
[4]
High-risk / low-risk
[5]
HR (95% CI)
[6]
P value
[2] array · 8 items
[0]
Overall
[1]
154/173
[2]
1.905 (1.248-2.910)
[3]
0.0023*
[4]
[5]
164/170
[6]
1.811 (1.329-2.466)
[7]
<0.0001*
[3] array · 8 items
[0]
TNM stage
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[4] array · 8 items
[0]
Stage I
[1]
68/94
[2]
2.502 (1.295-4.835)
[3]
0.0049*
[4]
[5]
63/95
[6]
1.643 (0.9616-2.806)
[7]
0.0509
[5] array · 8 items
[0]
Stage II
[1]
36/38
[2]
1.383 (0.5167-3.700)
[3]
0.5161
[4]
[5]
39/37
[6]
1.098 (0.5908-2.041)
[7]
0.7632
[6] array · 8 items
[0]
Stage III
[1]
38/26
[2]
2.263 (0.9245-5.539)
[3]
0.0524
[4]
[5]
49/25
[6]
1.714 (0.9881-2.972)
[7]
0.0592
[7] array · 8 items
[0]
Hepatitis
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8] array · 8 items
[0]
HBV
[1]
44/50
[2]
3.622 (1.398-9.384)
[3]
0.015*
[4]
[5]
44/48
[6]
1.736 (0.9153-3.294)
[7]
0.0873
[9] array · 8 items
[0]
HCV
[1]
25/29
[2]
2.661 (0.8091-8.750)
[3]
0.0644
[4]
[5]
23/28
[6]
1.263 (0.5953-2.682)
[7]
0.5234
[10] array · 8 items
[0]
Non-hepatitis
[1]
81/84
[2]
1.643 (0.9681-2.790)
[3]
0.0539
[4]
[5]
90/84
[6]
2.157 (1.421-3.276)
[7]
0.0002*
[11] array · 8 items
[0]
Alcohol consumption
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[12] array · 8 items
[0]
Yes
[1]
40/54
[2]
2.235 (0.8735-5.719)
[3]
0.0464*
[4]
[5]
49/58
[6]
3.069 (1.736-5.426)
[7]
<0.0001*
[13] array · 8 items
[0]
No
[1]
110/109
[2]
0.807 (1.107-2.951)
[3]
0.0188*
[4]
[5]
108/102
[6]
1.429 (0.9693-2.105)
[7]
0.0691
[14] array · 8 items
[0]
Gender
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[15] array · 8 items
[0]
Male
[1]
94/123
[2]
2.192 (1.243-3.863)
[3]
0.0041*
[4]
[5]
103/124
[6]
1.920 (1.304-2.826)
[7]
0.0003*
[16] array · 8 items
[0]
Female
[1]
60/50
[2]
1.420 (0.7451-2.704)
[3]
0.2847
[4]
[5]
61/46
[6]
1.711 (1.008-2.903)
[7]
0.048*
[17] array · 8 items
[0]
Age
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[18] array · 8 items
[0]
≤ 50
[1]
32/32
[2]
1.553 (0.4715-5.112)
[3]
0.4636
[4]
[5]
38/30
[6]
1.765 (0.8905-2.497)
[7]
0.0972
[19] array · 8 items
[0]
> 50
[1]
122/141
[2]
1.828 (1.165-2.868)
[3]
0.0075*
[4]
[5]
126/140
[6]
1.808 (1.278-2.558)
[7]
0.0004*
[20] array · 8 items
[0]
Cirrhosis
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[21] array · 8 items
[0]
Yes
[1]
34/42
[2]
3.445 (1.244-9.539)
[3]
0.0237*
[4]
[5]
33/42
[6]
0.9595 (0.522-1.764)
[7]
0.8938
[22] array · 8 items
[0]
No
[1]
51/77
[2]
1.323 (0.7002-2.500)
[3]
0.3701
[4]
[5]
52/74
[6]
1.866 (1.114-3.125)
[7]
0.0114*
[23] array · 8 items
[0]
Albumin (g/dl)
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[24] array · 8 items
[0]
≤ 3.5
[1]
44/38
[2]
2.379 (1.030-5.495)
[3]
0.061
[4]
[5]
41/36
[6]
1.203 (0.6193-2.337)
[7]
0.5811
[25] array · 8 items
[0]
> 3.5
[1]
87/117
[2]
1.911 (1.102-3.312)
[3]
0.0139*
[4]
[5]
82/116
[6]
1.784 (1.183-2.691)
[7]
0.0028*
[26] array · 8 items
[0]
Creatinine(mg/dl)
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[27] array · 8 items
[0]
< 1.1
[1]
87/108
[2]
1.888 (1.102-3.234)
[3]
0.0171*
[4]
[5]
81/105
[6]
1.665 (1.097-2.529)
[7]
0.0113*
[28] array · 8 items
[0]
≥ 1.1
[1]
47/48
[2]
2.148 (0.9684-4.765)
[3]
0.0507
[4]
[5]
44/45
[6]
1.428 (0.7646-2.668)
[7]
0.2451
[29] array · 8 items
[0]
Alpha-fetoprotein(ng/ml)
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[30] array · 8 items
[0]
≤ 300
[1]
79/125
[2]
2.379 (1.334-4.243)
[3]
0.0011*
[4]
[5]
76/121
[6]
1.770 (1.147-2.731)
[7]
0.0044*
[31] array · 8 items
[0]
> 300
[1]
45/18
[2]
2.148 (0.7583-6.082)
[3]
0.2203
[4]
[5]
41/17
[6]
1.425 (0.665-3.054)
[7]
0.3896
[32] array · 8 items
[0]
Platelet(×109/L)
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[33] array · 8 items
[0]
≤ 300
[1]
101/120
[2]
2.421 (1.413-4.147)
[3]
0.0013*
[4]
[5]
95/119
[6]
1.527 (1.016-2.295)
[7]
0.0337*
[34] array · 8 items
[0]
> 300
[1]
34/38
[2]
1.338 (0.5988-2.988)
[3]
0.4481
[4]
[5]
31/34
[6]
1.772 (0.9258-3.391)
[7]
0.0671
[35] array · 8 items
[0]
Race
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[36] array · 8 items
[0]
Asian
[1]
65/63
[2]
4.354 (1.719-11.03)
[3]
0.0041*
[4]
[5]
83/65
[6]
2.046 (1.270-3.297)
[7]
0.0034*
[37] array · 8 items
[0]
White
[1]
76/95
[2]
1.612 (0.9556-2.720)
[3]
0.0623
[4]
[5]
69/91
[6]
1.901 (1.234-2.928)
[7]
0.0015*
[38] array · 8 items
[0]
BMIa
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[39] array · 8 items
[0]
< 25
[1]
78/71
[2]
2.331 (1.201-4.523)
[3]
0.0175*
[4]
[5]
93/71
[6]
1.472 (0.9494-2.281)
[7]
0.0855
[40] array · 8 items
[0]
≥ 25
[1]
62/91
[2]
1.858 (0.9573-3.608)
[3]
0.0454*
[4]
[5]
56/87
[6]
2.549 (1.546-4.204)
[7]
<0.0001*
[41] array · 8 items
[0]
Family history
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[42] array · 8 items
[0]
Yes
[1]
52/57
[2]
1.723 (0.9518-3.118)
[3]
0.0669
[4]
[5]
85/91
[6]
1.543 (0.8052-2.957)
[7]
0.1744
[43] array · 8 items
[0]
No
[1]
48/52
[2]
1.882 (1.073-3.301)
[3]
0.0214*
[4]
[5]
101/90
[6]
1.639 (1.099-2.446)
[7]
0.0135*
[44] array · 8 items
[0]
ECOGb
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[45] array · 8 items
[0]
=0
[1]
63/95
[2]
2.958 (1.476-5.931)
[3]
0.002*
[4]
[5]
59/93
[6]
1.463 (0.889-2.408)
[7]
0.1159
[46] array · 8 items
[0]
>0
[1]
47/52
[2]
1.454 (0.6708-3.150)
[3]
0.3143
[4]
[5]
62/52
[6]
2.165 (1.353-3.463)
[7]
0.001*
[47] array · 8 items
[0]
Histological grade
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[48] array · 8 items
[0]
G1/2
[1]
73/127
[2]
1.445 (0.805-2.596)
[3]
0.1908
[4]
[5]
82/126
[6]
1.936 (1.256-2.983)
[7]
0.0008*
[49] array · 8 items
[0]
G3/4
[1]
77/45
[2]
3.357 (1.698-6.636)
[3]
0.0042*
[4]
[5]
78/43
[6]
1.684 (1.033-2.747)
[7]
0.0457*
locator
section[5]/table-wrap[3]#t3
gaps array · 10 items
[0]
asset:data:geo:GSE14323 not downloaded
[1]
asset:data:geo:GSE14323 licence not read
[2]
asset:data:geo:GSE14520 not downloaded
[3]
asset:data:geo:GSE14520 licence not read
[4]
asset:data:geo:GSE15765 not downloaded
[5]
asset:data:geo:GSE15765 licence not read
[6]
asset:data:geo:GSE28691 not downloaded
[7]
asset:data:geo:GSE28691 licence not read
[8]
asset:data:geo:GSE5851 not downloaded
[9]
asset:data:geo:GSE5851 licence not read
analysis object · 4 fields
state
partial
methods array · 1 item
[0] object · 10 fields
id
method-1
family
null
specific
null
label
False discovery rate (FDR)
dsl_operations array · 0 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 0 items
evidence object · 3 fields
score
1
band
verbatim
quote
False discovery rate (FDR) was applied to compare the expression of genes between tumor and non-tumor samples.
targets array · 0 items
gaps array · 1 item
[0]
method.reader_named_unmapped
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
blocked
tier
R4
blocking_axis
method
blocked_on
method:not_determinable
axes object · 3 fields
method object · 5 fields
tier
R4
expressible
false
required_operations array · 0 items
missing_operations array · 0 items
basis
The reader quoted the method the paper names (False discovery rate (FDR)), but the corpus's method extractor could not map it onto a DSL operation, so the method is published but not expressible.
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 · 5 items
[0]
GSE5851
[1]
GSE28691
[2]
GSE15765
[3]
GSE14323
[4]
GSE14520
resolved_accessions array · 5 items
[0]
GSE5851
[1]
GSE28691
[2]
GSE15765
[3]
GSE14323
[4]
GSE14520
statements array · 1 item
[0]
We selected 75 CRCLM samples from GSE5851 (61) and GSE28691 (14), 70 HCC samples and 13 ICC samples from GSE15765 and 19 normal liver tissue samples from GSE14323 for integrated normalization and analysis.
basis
The paper names GSE5851, GSE28691, GSE15765, GSE14323, GSE14520 in GEO database and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 0 items
assets array · 5 items
[0]
source:pmid:30243023
[1]
data:geo:GSE14323
[2]
asset:table:pmid:30243023:1
[3]
asset:table:pmid:30243023:2
[4]
asset:table:pmid:30243023:3
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:GSE14323
gaps array · 1 item
[0]
method:not_determinable
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
2026-10-31T18:12:22Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
null
calls
3
usage object · 3 fields
prompt_tokens
35905
completion_tokens
1947
cached_tokens
648
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:30243023
type
paper
label
pmid:30243023
[1] object · 3 fields
id
source:pmid:30243023
type
manuscript
label
PMID 30243023 full text
[2] object · 3 fields
id
data:geo:GSE14323
type
dataset
label
GEO GSE14323
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:30243023
type
paper
label
pmid:30243023
[1] object · 3 fields
id
source:pmid:30243023
type
manuscript
label
PMID 30243023 full text
[2] object · 3 fields
id
data:geo:GSE14323
type
dataset
label
GEO GSE14323
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-30243023
type
extraction
used array · 1 item
[0]
source:pmid:30243023
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE14323
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE14323
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:30243023
parent_hash
sha256:71f2940b54952005b9345476583297164198a7218692723b777f40bf64723541
fork_of
null
gaps array · 15 items
[0]
asset:data:geo:GSE14323 licence not read
[1]
asset:data:geo:GSE14323 not downloaded
[2]
asset:data:geo:GSE14520 licence not read
[3]
asset:data:geo:GSE14520 not downloaded
[4]
asset:data:geo:GSE15765 licence not read
[5]
asset:data:geo:GSE15765 not downloaded
[6]
asset:data:geo:GSE28691 licence not read
[7]
asset:data:geo:GSE28691 not downloaded
[8]
asset:data:geo:GSE5851 licence not read
[9]
asset:data:geo:GSE5851 not downloaded
[10]
execution.not_run
[11]
method.reader_named_unmapped
[12]
review.human_critique
[13]
review.independent_reader
[14]
review.machine_critique
Complete file
{"sci_version": "1.0", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:30243023", "kind": "science-record", "revision": 5, "content_hash": "sha256:47ec4bef4d87e497c3ae6a5ea94f98bfe27500316f18bcdf50886ac637192039", "created_at": "2026-11-01T15:40:37Z", "updated_at": "2026-11-01T21:21:39Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "A new risk score based on twelve hepatocellular carcinoma-specific gene expression can predict the patients' prognosis.", "doi": "10.18632/aging.101563", "pmid": "30243023", "authors": ["Ting Lin", "Jingxian Gu", "Kai Qu", "Xing Zhang", "Xiaohua Ma", "Runchen Miao", "Xiaohong Xiang", "Yunong Fu", "Wenquan Niu", "Junjun She", "Chang Liu"], "journal": "Aging", "year": 2018, "abstract": "A large panel of molecular biomarkers have been identified to predict the prognosis of hepatocellular carcinoma (HCC), yet with limited clinical application due to difficult extrapolation. We here generated a genetic risk score system comprised of 12 HCC-specific genes to better predict the prognosis of HCC patients. Four genomics profiling datasets (GSE5851, GSE28691, GSE15765 and GSE14323) were searched to seek HCC-specific genes by comparisons between cancer samples and normal liver tissues and between different subtypes of hepatic neoplasms. Univariate survival analysis screened HCC-specific genes associated with overall survival (OS) in the training dataset for next-step risk model construction. The prognostic value of the constructed HCC risk score system was then validated in the TCGA dataset. Stratified analysis indicated this scoring system showed better performance in elderly male patients with HBV infection and preoperative lower levels of creatinine, alpha-fetoprotein and platelet and higher level of albumin. Functional annotation of this risk model in high-risk patients revealed that pathways associated with cell cycle, cell migration and inflammation were significantly enriched. In summary, our constructed HCC-specific gene risk model demonstrated robustness and potentiality in predicting the prognosis of HCC patients, especially among elderly male patients with HBV infection and relatively better general conditions.", "claims": [{"id": "claim-method", "statement": "False discovery rate (FDR) was applied to compare the expression of genes between tumor and non-tumor samples.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:30243023", "locator": "sections[14] \"Statistical methods\" paragraph 2", "quote": "False discovery rate (FDR) was applied to compare the expression of genes between tumor and non-tumor samples."}], "state": "complete"}, {"id": "claim-data-access", "statement": "We selected 75 CRCLM samples from GSE5851 (61) and GSE28691 (14), 70 HCC samples and 13 ICC samples from GSE15765 and 19 normal liver tissue samples from GSE14323 for integrated normalization and analysis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:30243023", "locator": "sections[9] \"Microarray data collection and pre-processing\" paragraph 2", "quote": "We selected 75 CRCLM samples from GSE5851 (61) and GSE28691 (14), 70 HCC samples and 13 ICC samples from GSE15765 and 19 normal liver tissue samples from GSE14323 for integrated normalization and analysis."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:30243023"], "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:GSE14323"], "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:GSE14323"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:30243023", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.18632/aging.101563", "sha256": "sha256:e8dbb4beb260a1d132aa28d4019c5b826db46d3785a95f9a5fa24dbfe9659025", "bytes": 42991, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.18632/aging.101563", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC6188480", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE14323", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14323", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE14323", "version": null, "note": "We selected 75 CRCLM samples from GSE5851 (61) and GSE28691 (14), 70 HCC samples and 13 ICC samples from GSE15765 and 19 normal liver tissue samples from GSE14323 for integrated normalization and analysis.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "We selected 75 CRCLM samples from GSE5851 (61) and GSE28691 (14), 70 HCC samples and 13 ICC samples from GSE15765 and 19 normal liver tissue samples from GSE14323 for integrated normalization and analysis.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM358103", "GSM358104", "GSM358105", "GSM358106", "GSM358107", "GSM358108", "GSM358109", "GSM358110", "GSM358111", "GSM358112", "GSM358113", "GSM358114", "GSM358115", "GSM358116", "GSM358117", "GSM358118", "GSM358119", "GSM358120", "GSM358121", "GSM358122", "GSM358123", "GSM358124", "GSM358125", "GSM358126", "GSM358127", "GSM358128", "GSM358129", "GSM358130", "GSM358131", "GSM358132", "GSM358133", "GSM358134", "GSM358135", "GSM358136", "GSM358137", "GSM358138", "GSM358139", "GSM358140", "GSM358141", "GSM358142", "GSM358143", 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"GSM358222", "GSM358223", "GSM358224", "GSM358225", "GSM358226", "GSM358227"], "sample_count": 124, "group_sizes": null, "group_sizes_basis": null, "platform": "571;96", "taxon": "Homo sapiens", "title": "RMA expression data for liver samples from subjects with HCV, HCV-HCC, or normal liver", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE14520", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14520", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE14520", "version": null, "note": "We selected 75 CRCLM samples from GSE5851 (61) and GSE28691 (14), 70 HCC samples and 13 ICC samples from GSE15765 and 19 normal liver tissue samples from GSE14323 for 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"2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE15765", "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=GSE15765", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE15765", "version": null, "note": "We selected 75 CRCLM samples from GSE5851 (61) and GSE28691 (14), 70 HCC samples and 13 ICC samples from GSE15765 and 19 normal liver tissue samples from GSE14323 for integrated normalization and analysis.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "We selected 75 CRCLM samples from GSE5851 (61) and GSE28691 (14), 70 HCC samples and 13 ICC samples from GSE15765 and 19 normal liver tissue samples from GSE14323 for integrated normalization and analysis.", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM395647", "GSM395648", "GSM395649", "GSM395650", "GSM395651", "GSM395652", "GSM395653", "GSM395654", "GSM395655", "GSM395656", "GSM395657", "GSM395658", "GSM395659", "GSM395660", "GSM395661", "GSM395662", "GSM395663", "GSM395664", "GSM395665", "GSM395666", "GSM395667", "GSM395669", "GSM395670", "GSM395671", "GSM395672", "GSM395673", "GSM395674", "GSM395675", "GSM395676", "GSM395677", "GSM395678", "GSM395679", "GSM395680", "GSM395681", "GSM395682", "GSM395683", "GSM395684", "GSM395685", "GSM395686", "GSM395687", "GSM395688", "GSM395689", "GSM395690", "GSM395691", "GSM395692", "GSM395693", "GSM395694", "GSM395695", "GSM395696", "GSM395697", "GSM395698", "GSM395699", "GSM395700", "GSM395701", "GSM395702", "GSM395703", "GSM395704", "GSM395705", "GSM395706", "GSM395707", "GSM395708", "GSM395709", "GSM395710", "GSM395711", "GSM395712", "GSM395713", "GSM395714", "GSM395715", 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(1.295-4.835)", "0.0049*", "", "63/95", "1.643 (0.9616-2.806)", "0.0509"], ["Stage II", "36/38", "1.383 (0.5167-3.700)", "0.5161", "", "39/37", "1.098 (0.5908-2.041)", "0.7632"], ["Stage III", "38/26", "2.263 (0.9245-5.539)", "0.0524", "", "49/25", "1.714 (0.9881-2.972)", "0.0592"], ["Hepatitis", "", "", "", "", "", "", ""], ["HBV", "44/50", "3.622 (1.398-9.384)", "0.015*", "", "44/48", "1.736 (0.9153-3.294)", "0.0873"], ["HCV", "25/29", "2.661 (0.8091-8.750)", "0.0644", "", "23/28", "1.263 (0.5953-2.682)", "0.5234"], ["Non-hepatitis", "81/84", "1.643 (0.9681-2.790)", "0.0539", "", "90/84", "2.157 (1.421-3.276)", "0.0002*"], ["Alcohol consumption", "", "", "", "", "", "", ""], ["Yes", "40/54", "2.235 (0.8735-5.719)", "0.0464*", "", "49/58", "3.069 (1.736-5.426)", "<0.0001*"], ["No", "110/109", "0.807 (1.107-2.951)", "0.0188*", "", "108/102", "1.429 (0.9693-2.105)", "0.0691"], ["Gender", "", "", "", "", "", "", ""], ["Male", "94/123", "2.192 (1.243-3.863)", "0.0041*", "", "103/124", "1.920 (1.304-2.826)", "0.0003*"], ["Female", "60/50", "1.420 (0.7451-2.704)", "0.2847", "", "61/46", "1.711 (1.008-2.903)", "0.048*"], ["Age", "", "", "", "", "", "", ""], ["≤ 50", "32/32", "1.553 (0.4715-5.112)", "0.4636", "", "38/30", "1.765 (0.8905-2.497)", "0.0972"], ["> 50", "122/141", "1.828 (1.165-2.868)", "0.0075*", "", "126/140", "1.808 (1.278-2.558)", "0.0004*"], ["Cirrhosis", "", "", "", "", "", "", ""], ["Yes", "34/42", "3.445 (1.244-9.539)", "0.0237*", "", "33/42", "0.9595 (0.522-1.764)", "0.8938"], ["No", "51/77", "1.323 (0.7002-2.500)", "0.3701", "", "52/74", "1.866 (1.114-3.125)", "0.0114*"], ["Albumin (g/dl)", "", "", "", "", "", "", ""], ["≤ 3.5", "44/38", "2.379 (1.030-5.495)", "0.061", "", "41/36", "1.203 (0.6193-2.337)", "0.5811"], ["> 3.5", "87/117", "1.911 (1.102-3.312)", "0.0139*", "", "82/116", "1.784 (1.183-2.691)", "0.0028*"], ["Creatinine(mg/dl)", "", "", "", "", "", "", ""], ["< 1.1", "87/108", "1.888 (1.102-3.234)", "0.0171*", "", "81/105", "1.665 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["asset:data:geo:GSE14323 not downloaded", "asset:data:geo:GSE14323 licence not read", "asset:data:geo:GSE14520 not downloaded", "asset:data:geo:GSE14520 licence not read", "asset:data:geo:GSE15765 not downloaded", "asset:data:geo:GSE15765 licence not read", "asset:data:geo:GSE28691 not downloaded", "asset:data:geo:GSE28691 licence not read", "asset:data:geo:GSE5851 not downloaded", "asset:data:geo:GSE5851 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": null, "specific": null, "label": "False discovery rate (FDR)", "dsl_operations": [], "missing_operations": [], "expressible": null, "parameters": {}, "data_shapes": [], "evidence": {"score": 1.0, "band": "verbatim", "quote": "False discovery rate (FDR) was applied to compare the expression of genes between tumor and non-tumor samples."}}], "targets": [], "gaps": ["method.reader_named_unmapped"]}, "capability": {"state": "complete", "requirements": [{"capability_id": 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owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE5851", "GSE28691", "GSE15765", "GSE14323", "GSE14520"], "resolved_accessions": ["GSE5851", "GSE28691", "GSE15765", "GSE14323", "GSE14520"], "statements": ["We selected 75 CRCLM samples from GSE5851 (61) and GSE28691 (14), 70 HCC samples and 13 ICC samples from GSE15765 and 19 normal liver tissue samples from GSE14323 for integrated normalization and analysis."], "basis": "The paper names GSE5851, GSE28691, GSE15765, GSE14323, GSE14520 in GEO database and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": [], "assets": ["source:pmid:30243023", "data:geo:GSE14323", "asset:table:pmid:30243023:1", "asset:table:pmid:30243023:2", "asset:table:pmid:30243023:3"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE14323"]}, "gaps": ["method:not_determinable"]}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-10-31T18:12:22Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": null}, "calls": 3, "usage": {"prompt_tokens": 35905, "completion_tokens": 1947, "cached_tokens": 648}}, "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:30243023", "type": "paper", "label": "pmid:30243023"}, {"id": "source:pmid:30243023", "type": "manuscript", "label": "PMID 30243023 full text"}, {"id": "data:geo:GSE14323", "type": "dataset", "label": "GEO GSE14323"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:30243023", "type": "paper", "label": "pmid:30243023"}, {"id": "source:pmid:30243023", "type": "manuscript", "label": "PMID 30243023 full text"}, {"id": "data:geo:GSE14323", "type": "dataset", "label": "GEO GSE14323"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-30243023", "type": "extraction", "used": ["source:pmid:30243023"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE14323", "type": "accession_resolution", "used": ["data:geo:GSE14323"], "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:30243023", "parent_hash": "sha256:71f2940b54952005b9345476583297164198a7218692723b777f40bf64723541", "fork_of": null, "generation": 4}, "gaps": ["asset:data:geo:GSE14323 licence not read", "asset:data:geo:GSE14323 not downloaded", "asset:data:geo:GSE14520 licence not read", "asset:data:geo:GSE14520 not downloaded", "asset:data:geo:GSE15765 licence not read", "asset:data:geo:GSE15765 not downloaded", "asset:data:geo:GSE28691 licence not read", "asset:data:geo:GSE28691 not downloaded", "asset:data:geo:GSE5851 licence not read", "asset:data:geo:GSE5851 not downloaded", "execution.not_run", "method.reader_named_unmapped", "review.human_critique", "review.independent_reader", "review.machine_critique"]}