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pmid:33732694

Clinical Significance of a Novel Tumor Progression-Associated Immune Signature in Colorectal Adenocarcinoma.

Rui Mao · Fan Yang · Zheng Wang · Chenxin Xu · Qian Liu · Yanjun Liu · Tongtong Zhang

Frontiers in cell and developmental biology · 2021 doi:10.3389/fcell.2021.625212

Paper

complete

Experiment

complete

Data

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Analysis

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Execution

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pmid:33732694
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title
Clinical Significance of a Novel Tumor Progression-Associated Immune Signature in Colorectal Adenocarcinoma.
doi
10.3389/fcell.2021.625212
pmid
33732694
authors array · 7 items
[0]
Rui Mao
[1]
Fan Yang
[2]
Zheng Wang
[3]
Chenxin Xu
[4]
Qian Liu
[5]
Yanjun Liu
[6]
Tongtong Zhang
journal
Frontiers in cell and developmental biology
year
2021
abstract
BACKGROUND: Some colorectal adenocarcinoma (CRC) patients are susceptible to recurrence, and they rapidly progress to advanced cancer stages and have a poor prognosis. There is an urgent need for efficient screening criteria to identify patients who tend to relapse in order to treat them earlier and more systematically. METHODS: We identified two groups of patients with significantly different outcomes by unsupervised cluster analysis of GSE39582 based on 101 significantly differentially expressed immune genes. To develop an accurate and specific signature based on immune-related genes to predict the recurrence of CRC, a multivariate Cox risk regression model was constructed with a training cohort composed of 519 CRC samples. The model was then validated using 129, 292, and 446 samples in the real-time quantitative reverse transcription PCR (qRT-PCR), test, and validation cohorts, respectively. RESULTS: This classification system can also be used to predict the prognosis in clinical subgroups and patients with different mutation states. Four independent datasets, including qRT-PCR and The Cancer Genome Atlas (TCGA), demonstrated that they can also be used to accurately predict the overall survival of CRC patients. Further analysis suggested that high-risk patients were characterized by worse effects of chemotherapy and immunotherapy, as well as lower immune scores. Ultimately, the signature was identified as an independent prognostic factor. CONCLUSION: The signature can accurately predict recurrence and overall survival in patients with CRC and may serve as a powerful prognostic tool to further optimize cancer immunotherapy.
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Next, multivariate Cox regression was applied to identify prognostic signatures with the R packages glment, survminer, and survival.
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sections[6] "Prognostic Evaluation Using the IGBRS" paragraph 2
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Next, multivariate Cox regression was applied to identify prognostic signatures with the R packages glment, survminer, and survival.
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The original contributions generated for this study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
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[205]
GSM437298
[206]
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[207]
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[208]
GSM437301
[209]
GSM437302
[210]
GSM437303
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GSM437304
[212]
GSM437305
[213]
GSM437306
[214]
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[215]
GSM437308
[216]
GSM437309
[217]
GSM437310
[218]
GSM437311
[219]
GSM437312
[220]
GSM437313
[221]
GSM437314
[222]
GSM437315
[223]
GSM437316
[224]
GSM437317
[225]
GSM437318
[226]
GSM437319
[227]
GSM437320
[228]
GSM437321
[229]
GSM437322
[230]
GSM437323
[231]
GSM437324
[232]
GSM472192
[233]
GSM472193
[234]
GSM472194
[235]
GSM472195
[236]
GSM472196
[237]
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[238]
GSM472198
[239]
GSM472199
[240]
GSM472200
[241]
GSM472201
[242]
GSM472202
[243]
GSM472203
sample_count
244
group_sizes
null
group_sizes_basis
null
platform
570;1261
taxon
Mus musculus; Homo sapiens
title
Experimentally Derived Metastasis Gene Expression Profile Predicts Recurrence and Death in Colon Cancer Patients
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:GSE33113
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geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE33113
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null
bytes
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reader_status
reader_required
identifier
GSE33113
version
null
note
The original contributions generated for this study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions generated for this study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
access_statement_kind
data_availability_statement
sample_accessions array · 96 items
[0]
GSM1100477
[1]
GSM1100478
[2]
GSM1100479
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GSM1100480
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GSM1100481
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GSM1100482
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GSM820048
[7]
GSM820049
[8]
GSM820050
[9]
GSM820051
[10]
GSM820052
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GSM820053
[12]
GSM820054
[13]
GSM820055
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GSM820056
[15]
GSM820057
[16]
GSM820058
[17]
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[18]
GSM820060
[19]
GSM820061
[20]
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[23]
GSM820065
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GSM820066
[25]
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[26]
GSM820068
[27]
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[28]
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[29]
GSM820071
[30]
GSM820072
[31]
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[33]
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[34]
GSM820076
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GSM820077
[36]
GSM820078
[37]
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[38]
GSM820080
[39]
GSM820081
[40]
GSM820082
[41]
GSM820083
[42]
GSM820084
[43]
GSM820085
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GSM820086
[45]
GSM820087
[46]
GSM820088
[47]
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[48]
GSM820090
[49]
GSM820091
[50]
GSM820092
[51]
GSM820093
[52]
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[53]
GSM820095
[54]
GSM820096
[55]
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[56]
GSM820098
[57]
GSM820099
[58]
GSM820100
[59]
GSM820101
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GSM820102
[61]
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[62]
GSM820104
[63]
GSM820105
[64]
GSM820106
[65]
GSM820107
[66]
GSM820108
[67]
GSM820109
[68]
GSM820110
[69]
GSM820111
[70]
GSM820112
[71]
GSM820113
[72]
GSM820114
[73]
GSM820115
[74]
GSM820116
[75]
GSM820117
[76]
GSM820118
[77]
GSM820119
[78]
GSM820120
[79]
GSM820121
[80]
GSM820122
[81]
GSM820123
[82]
GSM820124
[83]
GSM820125
[84]
GSM820126
[85]
GSM820127
[86]
GSM820128
[87]
GSM820129
[88]
GSM820130
[89]
GSM820131
[90]
GSM820132
[91]
GSM820133
[92]
GSM820134
[93]
GSM820135
[94]
GSM820136
[95]
GSM820137
sample_count
96
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
AMC colon cancer AJCCII
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:GSE35640
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=GSE35640
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null
bytes
null
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null
reader_status
reader_required
identifier
GSE35640
version
null
note
The original contributions generated for this study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions generated for this study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
access_statement_kind
data_availability_statement
sample_accessions array · 65 items
[0]
GSM872328
[1]
GSM872329
[2]
GSM872330
[3]
GSM872331
[4]
GSM872332
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GSM872333
[6]
GSM872334
[7]
GSM872335
[8]
GSM872336
[9]
GSM872337
[10]
GSM872338
[11]
GSM872339
[12]
GSM872340
[13]
GSM872341
[14]
GSM872342
[15]
GSM872343
[16]
GSM872344
[17]
GSM872345
[18]
GSM872346
[19]
GSM872347
[20]
GSM872348
[21]
GSM872349
[22]
GSM872350
[23]
GSM872351
[24]
GSM872352
[25]
GSM872353
[26]
GSM872354
[27]
GSM872355
[28]
GSM872356
[29]
GSM872357
[30]
GSM872358
[31]
GSM872359
[32]
GSM872360
[33]
GSM872361
[34]
GSM872362
[35]
GSM872363
[36]
GSM872364
[37]
GSM872365
[38]
GSM872366
[39]
GSM872367
[40]
GSM872368
[41]
GSM872369
[42]
GSM872370
[43]
GSM872371
[44]
GSM872372
[45]
GSM872373
[46]
GSM872374
[47]
GSM872375
[48]
GSM872376
[49]
GSM872377
[50]
GSM872378
[51]
GSM872379
[52]
GSM872380
[53]
GSM872381
[54]
GSM872382
[55]
GSM872383
[56]
GSM872384
[57]
GSM872385
[58]
GSM872386
[59]
GSM872387
[60]
GSM872388
[61]
GSM872389
[62]
GSM872390
[63]
GSM872391
[64]
GSM872392
sample_count
65
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Identification of a predictive gene signature to recMAGE A3 antigen-specific cancer immunotherapy in metastatic melanoma and 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
[5] object · 15 fields
id
data:geo:GSE37892
role
raw
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geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE37892
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null
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reader_status
reader_required
identifier
GSE37892
version
null
note
The original contributions generated for this study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions generated for this study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
access_statement_kind
data_availability_statement
sample_accessions array · 130 items
[0]
GSM929494
[1]
GSM929495
[2]
GSM929496
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GSM929497
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GSM929498
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GSM929499
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GSM929500
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GSM929501
[8]
GSM929502
[9]
GSM929503
[10]
GSM929504
[11]
GSM929505
[12]
GSM929506
[13]
GSM929507
[14]
GSM929508
[15]
GSM929509
[16]
GSM929510
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GSM929511
[18]
GSM929512
[19]
GSM929513
[20]
GSM929514
[21]
GSM929515
[22]
GSM929516
[23]
GSM929517
[24]
GSM929518
[25]
GSM929519
[26]
GSM929520
[27]
GSM929521
[28]
GSM929522
[29]
GSM929523
[30]
GSM929524
[31]
GSM929525
[32]
GSM929526
[33]
GSM929527
[34]
GSM929528
[35]
GSM929529
[36]
GSM929530
[37]
GSM929531
[38]
GSM929532
[39]
GSM929533
[40]
GSM929534
[41]
GSM929535
[42]
GSM929536
[43]
GSM929537
[44]
GSM929538
[45]
GSM929539
[46]
GSM929540
[47]
GSM929541
[48]
GSM929542
[49]
GSM929543
[50]
GSM929544
[51]
GSM929545
[52]
GSM929546
[53]
GSM929547
[54]
GSM929548
[55]
GSM929549
[56]
GSM929550
[57]
GSM929551
[58]
GSM929552
[59]
GSM929553
[60]
GSM929554
[61]
GSM929555
[62]
GSM929556
[63]
GSM929557
[64]
GSM929558
[65]
GSM929559
[66]
GSM929560
[67]
GSM929561
[68]
GSM929562
[69]
GSM929563
[70]
GSM929564
[71]
GSM929565
[72]
GSM929566
[73]
GSM929567
[74]
GSM929568
[75]
GSM929569
[76]
GSM929570
[77]
GSM929571
[78]
GSM929572
[79]
GSM929573
[80]
GSM929574
[81]
GSM929575
[82]
GSM929576
[83]
GSM929577
[84]
GSM929578
[85]
GSM929579
[86]
GSM929580
[87]
GSM929581
[88]
GSM929582
[89]
GSM929583
[90]
GSM929584
[91]
GSM929585
[92]
GSM929586
[93]
GSM929587
[94]
GSM929588
[95]
GSM929589
[96]
GSM929590
[97]
GSM929591
[98]
GSM929592
[99]
GSM929593
[100]
GSM929594
[101]
GSM929595
[102]
GSM929596
[103]
GSM929597
[104]
GSM929598
[105]
GSM929599
[106]
GSM929600
[107]
GSM929601
[108]
GSM929602
[109]
GSM929603
[110]
GSM929604
[111]
GSM929605
[112]
GSM929606
[113]
GSM929607
[114]
GSM929608
[115]
GSM929609
[116]
GSM929610
[117]
GSM929611
[118]
GSM929612
[119]
GSM929613
[120]
GSM929614
[121]
GSM929615
[122]
GSM929616
[123]
GSM929617
[124]
GSM929618
[125]
GSM929619
[126]
GSM929620
[127]
GSM929621
[128]
GSM929622
[129]
GSM929623
sample_count
130
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
A seven-gene signature aggregates a subgroup of stage II colon cancers with stage III.
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:GSE38832
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=GSE38832
sha256
null
bytes
null
access
open
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resolved
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null
reader_status
reader_required
identifier
GSE38832
version
null
note
The original contributions generated for this study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions generated for this study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
access_statement_kind
data_availability_statement
sample_accessions array · 122 items
[0]
GSM950411
[1]
GSM950412
[2]
GSM950413
[3]
GSM950414
[4]
GSM950415
[5]
GSM950416
[6]
GSM950417
[7]
GSM950418
[8]
GSM950419
[9]
GSM950420
[10]
GSM950421
[11]
GSM950422
[12]
GSM950423
[13]
GSM950424
[14]
GSM950425
[15]
GSM950426
[16]
GSM950427
[17]
GSM950428
[18]
GSM950429
[19]
GSM950430
[20]
GSM950431
[21]
GSM950432
[22]
GSM950433
[23]
GSM950434
[24]
GSM950435
[25]
GSM950436
[26]
GSM950437
[27]
GSM950438
[28]
GSM950439
[29]
GSM950440
[30]
GSM950441
[31]
GSM950442
[32]
GSM950443
[33]
GSM950444
[34]
GSM950445
[35]
GSM950446
[36]
GSM950447
[37]
GSM950448
[38]
GSM950449
[39]
GSM950450
[40]
GSM950451
[41]
GSM950452
[42]
GSM950453
[43]
GSM950454
[44]
GSM950455
[45]
GSM950456
[46]
GSM950457
[47]
GSM950458
[48]
GSM950459
[49]
GSM950460
[50]
GSM950461
[51]
GSM950462
[52]
GSM950463
[53]
GSM950464
[54]
GSM950465
[55]
GSM950466
[56]
GSM950467
[57]
GSM950468
[58]
GSM950469
[59]
GSM950470
[60]
GSM950471
[61]
GSM950472
[62]
GSM950473
[63]
GSM950474
[64]
GSM950475
[65]
GSM950476
[66]
GSM950477
[67]
GSM950478
[68]
GSM950479
[69]
GSM950480
[70]
GSM950481
[71]
GSM950482
[72]
GSM950483
[73]
GSM950484
[74]
GSM950485
[75]
GSM950486
[76]
GSM950487
[77]
GSM950488
[78]
GSM950489
[79]
GSM950490
[80]
GSM950491
[81]
GSM950492
[82]
GSM950493
[83]
GSM950494
[84]
GSM950495
[85]
GSM950496
[86]
GSM950497
[87]
GSM950498
[88]
GSM950499
[89]
GSM950500
[90]
GSM950501
[91]
GSM950502
[92]
GSM950503
[93]
GSM950504
[94]
GSM950505
[95]
GSM950506
[96]
GSM950507
[97]
GSM950508
[98]
GSM950509
[99]
GSM950510
[100]
GSM950511
[101]
GSM950512
[102]
GSM950513
[103]
GSM950514
[104]
GSM950515
[105]
GSM950516
[106]
GSM950517
[107]
GSM950518
[108]
GSM950519
[109]
GSM950520
[110]
GSM950521
[111]
GSM950522
[112]
GSM950523
[113]
GSM950524
[114]
GSM950525
[115]
GSM950526
[116]
GSM950527
[117]
GSM950528
[118]
GSM950529
[119]
GSM950530
[120]
GSM950531
[121]
GSM950532
sample_count
122
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
NFAT transcriptional activity is associated with metastatic capacity in colon cancer
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:GSE63557
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=GSE63557
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null
bytes
null
access
open
state
resolved
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null
reader_status
reader_required
identifier
GSE63557
version
null
note
The original contributions generated for this study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions generated for this study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
access_statement_kind
data_availability_statement
sample_accessions array · 30 items
[0]
GSM1552218
[1]
GSM1552219
[2]
GSM1552220
[3]
GSM1552221
[4]
GSM1552222
[5]
GSM1552223
[6]
GSM1552224
[7]
GSM1552225
[8]
GSM1552226
[9]
GSM1552227
[10]
GSM1552228
[11]
GSM1552229
[12]
GSM1552230
[13]
GSM1552231
[14]
GSM1552232
[15]
GSM1552233
[16]
GSM1552234
[17]
GSM1552235
[18]
GSM1552236
[19]
GSM1552237
[20]
GSM1552238
[21]
GSM1552239
[22]
GSM1552240
[23]
GSM1552241
[24]
GSM1552242
[25]
GSM1552243
[26]
GSM1552244
[27]
GSM1552245
[28]
GSM1552246
[29]
GSM1552247
sample_count
30
group_sizes
null
group_sizes_basis
null
platform
19103
taxon
Mus musculus
title
Gene expression patterns in responding versus non-responding AB1-HA tumors from mice during immunotherapy
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[8] object · 16 fields
id
asset:table:pmid:33732694:1
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table
format
jats-table
media_type
application/vnd.jats.table+json
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null
sha256
sha256:0781941fdeeb601449aa458dc09eec4f23d75bbc4d6b40e5e606f7d812a21173
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verified
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read_table
reader_status
available
identifier
section[24]/table-wrap[1]#T1
version
null
note
Univariable and multivariable Cox regression analysis of IGBRS and characteristics with RFS and OS in GSE39582.
structure object · 5 fields
pmcid
PMC7959763
section_index
24
section_title
Identification of IGBRS as an Independent Risk Factor for CRC Patients
row_count
28
column_count
13
table object · 8 fields
label
TABLE 1
caption
Univariable and multivariable Cox regression analysis of IGBRS and characteristics with RFS and OS in GSE39582.
rows array · 28 items
[0] array · 3 items
[0]
Variable
[1]
Relapse-free survival
[2]
Overall survival
[1] array · 5 items
[0]
[1]
Univariate cox
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Multivariate cox
[3]
Univariate cox
[4]
Multivariate cox
[2] array · 13 items
[0]
[1]
p-value
[2]
HR
[3]
95% CI
[4]
p-value
[5]
HR
[6]
95% CI
[7]
p-value
[8]
HR
[9]
95% CI
[10]
p-value
[11]
HR
[12]
95% CI
[3] array · 13 items
[0]
Age
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[4] array · 13 items
[0]
>65 Vs. ≤65 (reference)
[1]
0.9150
[2]
1.0180
[3]
0.7296–1.4210
[4]
0.4706
[5]
1.5273
[6]
0.8056–1.6270
[7]
0.0138
[8]
1.4620
[9]
1.0800–1.9780
[10]
<0.0001
[11]
1.7394
[12]
1.2626–2.3960
[5] array · 13 items
[0]
Sex
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[6] array · 13 items
[0]
Male Vs. female (reference)
[1]
0.1410
[2]
1.2840
[3]
0.9206–1.7900
[4]
0.0968
[5]
0.9815
[6]
0.9482–1.9160
[7]
0.0684
[8]
1.3100
[9]
0.9799–1.7500
[10]
0.0758
[11]
1.3111
[12]
0.9722–1.7680
[7] array · 13 items
[0]
TNM stage
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[8] array · 13 items
[0]
I (reference)
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[9] array · 13 items
[0]
II
[1]
0.0393
[2]
7.9980
[3]
1.1070–57.7800
[4]
0.0814
[5]
5.8670
[6]
0.7998–42.6740
[7]
0.2980
[8]
1.5550
[9]
0.6772–3.5700
[10]
0.4615
[11]
1.3804
[12]
0.5853–3.2560
[10] array · 13 items
[0]
III
[1]
0.0054
[2]
16.3930
[3]
2.2810–117.8100
[4]
0.0239
[5]
10.1700
[6]
1.3776–73.1500
[7]
0.1280
[8]
1.9130
[9]
0.8299–4.4120
[10]
0.2490
[11]
1.6627
[12]
0.7005–3.9460
[11] array · 13 items
[0]
IV
[1]
0.0091
[2]
15.3930
[3]
1.9900–127.5000
[4]
0.0178
[5]
12.7800
[6]
1.5563–103.7330
[7]
<0.0001
[8]
7.8110
[9]
3.3021–18.4750
[10]
<0.0001
[11]
7.1807
[12]
2.9121–17.060
[12] array · 13 items
[0]
Location
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[13] array · 13 items
[0]
Proximal vs. distal (reference)
[1]
0.8416
[2]
0.3200
[3]
0.5993–1.1820
[4]
0.2340
[5]
0.7871
[6]
0.5333–1.1690
[7]
0.6510
[8]
1.0700
[9]
0.7988–1.4320
[10]
0.9041
[11]
1.0206
[12]
0.7323–1.4230
[14] array · 13 items
[0]
MMR status
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[15] array · 13 items
[0]
dMMR Vs. pMMR (reference)
[1]
0.0112
[2]
0.4345
[3]
0.2282–0.8272
[4]
0.6168
[5]
0.8076
[6]
0.3498–1.8600
[7]
0.3038
[8]
0.7739
[9]
0.4748–1.2610
[10]
0.6928
[11]
1.1328
[12]
0.6103–2.1020
[16] array · 13 items
[0]
CIMP
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[17] array · 13 items
[0]
Positive vs. negative (reference)
[1]
0.4220
[2]
0.8092
[3]
0.4827–1.3570
[4]
0.7896
[5]
0.9077
[6]
0.4454–1.8470
[7]
0.7860
[8]
1.0570
[9]
0.7077–1.5790
[10]
0.4663
[11]
1.2375
[12]
0.6975–2.1960
[18] array · 13 items
[0]
CIN
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[19] array · 13 items
[0]
Positive vs. negative (reference)
[1]
0.3020
[2]
1.3170
[3]
0.7808–2.2220
[4]
0.6872
[5]
0.8826
[6]
1.0516–4.6260
[7]
0.1880
[8]
0.7767
[9]
0.5331–1.1320
[10]
0.3441
[11]
0.8138
[12]
0.5310–1.2470
[20] array · 13 items
[0]
TP53 status
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[21] array · 13 items
[0]
MUT vs. WT (reference)
[1]
0.1570
[2]
1.3223
[3]
0.8984–1.9460
[4]
0.5764
[5]
1.1240
[6]
0.7455–1.6930
[7]
0.3140
[8]
1.1960
[9]
0.8439–1.6960
[10]
0.4809
[11]
1.1417
[12]
0.7898–1.6510
[22] array · 13 items
[0]
KRAS status
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[23] array · 13 items
[0]
MUT vs. WT (reference)
[1]
0.0774
[2]
1.3550
[3]
0.9672–1.8980
[4]
0.0245
[5]
1.5410
[6]
1.0567–2.2450
[7]
0.0377
[8]
1.3597
[9]
1.0176–1.8170
[10]
0.1583
[11]
1.2646
[12]
0.9127–1.7520
[24] array · 13 items
[0]
BRAF status
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[25] array · 13 items
[0]
MUT Vs. WT (reference)
[1]
0.9404
[2]
1.0240
[3]
0.5504–1.9050
[4]
0.1250
[5]
2.0880
[6]
0.8161–5.3380
[7]
0.6920
[8]
1.1098
[9]
0.6628–1.8580
[10]
0.5860
[11]
0.8085
[12]
0.3761–1.7380
[26] array · 13 items
[0]
Risk score
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[27] array · 13 items
[0]
Increasing
[1]
<0.0001
[2]
2.8280
[3]
1.9780–4.0420
[4]
<0.0001
[5]
2.7080
[6]
1.8515–3.9480
[7]
<0.0001
[8]
2.5470
[9]
1.8820–3.4470
[10]
<0.0001
[11]
2.4176
[12]
1.7628–3.3160
locator
section[24]/table-wrap[1]#T1
gaps array · 14 items
[0]
asset:data:geo:GSE14333 not downloaded
[1]
asset:data:geo:GSE14333 licence not read
[2]
asset:data:geo:GSE17538 not downloaded
[3]
asset:data:geo:GSE17538 licence not read
[4]
asset:data:geo:GSE33113 not downloaded
[5]
asset:data:geo:GSE33113 licence not read
[6]
asset:data:geo:GSE35640 not downloaded
[7]
asset:data:geo:GSE35640 licence not read
[8]
asset:data:geo:GSE37892 not downloaded
[9]
asset:data:geo:GSE37892 licence not read
[10]
asset:data:geo:GSE38832 not downloaded
[11]
asset:data:geo:GSE38832 licence not read
[12]
asset:data:geo:GSE63557 not downloaded
[13]
asset:data:geo:GSE63557 licence not read
analysis object · 4 fields
state
complete
methods array · 1 item
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
cox_proportional_hazards
label
Survival analysis
dsl_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
1
band
verbatim
quote
Next, multivariate Cox regression was applied to identify prognostic signatures with the R packages glment, survminer, and survival.
targets array · 0 items
gaps array · 0 items
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
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
true
accessions array · 8 items
[0]
GSE14333
[1]
GSE17538
[2]
GSE33113
[3]
GSE37892
[4]
GSE38832
[5]
GSE35640
[6]
GSE63557
[7]
and GSE39582
resolved_accessions array · 7 items
[0]
GSE14333
[1]
GSE17538
[2]
GSE33113
[3]
GSE37892
[4]
GSE38832
[5]
GSE35640
[6]
GSE63557
statements array · 1 item
[0]
The original contributions generated for this study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
basis
The paper names GSE14333, GSE17538, GSE33113, GSE37892, GSE38832, GSE35640, GSE63557 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
cox_ph
assets array · 3 items
[0]
source:pmid:33732694
[1]
data:geo:GSE14333
[2]
asset:table:pmid:33732694:1
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:GSE14333
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-10-31T18:28:03Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
57225
completion_tokens
2016
cached_tokens
792
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:33732694
type
paper
label
pmid:33732694
[1] object · 3 fields
id
source:pmid:33732694
type
manuscript
label
PMID 33732694 full text
[2] object · 3 fields
id
data:geo:GSE14333
type
dataset
label
GEO GSE14333
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:33732694
type
paper
label
pmid:33732694
[1] object · 3 fields
id
source:pmid:33732694
type
manuscript
label
PMID 33732694 full text
[2] object · 3 fields
id
data:geo:GSE14333
type
dataset
label
GEO GSE14333
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-33732694
type
extraction
used array · 1 item
[0]
source:pmid:33732694
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE14333
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE14333
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:33732694
parent_hash
sha256:3380e3042c0e013dbd7b926c10375767515c90727e29f76e18f17a4aef2d4626
fork_of
null
gaps array · 18 items
[0]
asset:data:geo:GSE14333 licence not read
[1]
asset:data:geo:GSE14333 not downloaded
[2]
asset:data:geo:GSE17538 licence not read
[3]
asset:data:geo:GSE17538 not downloaded
[4]
asset:data:geo:GSE33113 licence not read
[5]
asset:data:geo:GSE33113 not downloaded
[6]
asset:data:geo:GSE35640 licence not read
[7]
asset:data:geo:GSE35640 not downloaded
[8]
asset:data:geo:GSE37892 licence not read
[9]
asset:data:geo:GSE37892 not downloaded
[10]
asset:data:geo:GSE38832 licence not read
[11]
asset:data:geo:GSE38832 not downloaded
[12]
asset:data:geo:GSE63557 licence not read
[13]
asset:data:geo:GSE63557 not downloaded
[14]
execution.not_run
[15]
review.human_critique
[16]
review.independent_reader
[17]
review.machine_critique
assays array · 2 items
[0] object · 11 fields
role
data_generation
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 1 item
[0]
g 129, 292, and 446 samples in the real-time quantitative reverse transcription PCR (qRT-PCR), test, and validation cohorts, res
order_basis
paper_text_order:878
id
assay:1
[1] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
cox_ph
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Next, multivariate Cox regression was applied to identify prognostic signatures with the R packages glment, survminer, and survival.
order_basis
consumes_earlier_output
id
assay:2
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33732694", "kind": "science-record", "revision": 6, "content_hash": "sha256:86ae0ae1ea733e1b2e78d3b79ba7e2004b3a41458f80719abba4d01f7786819a", "created_at": "2026-11-01T15:41:29Z", "updated_at": "2026-11-01T21:24:55Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Clinical Significance of a Novel Tumor Progression-Associated Immune Signature in Colorectal Adenocarcinoma.", "doi": "10.3389/fcell.2021.625212", "pmid": "33732694", "authors": ["Rui Mao", "Fan Yang", "Zheng Wang", "Chenxin Xu", "Qian Liu", "Yanjun Liu", "Tongtong Zhang"], "journal": "Frontiers in cell and developmental biology", "year": 2021, "abstract": "BACKGROUND: Some colorectal adenocarcinoma (CRC) patients are susceptible to recurrence, and they rapidly progress to advanced cancer stages and have a poor prognosis. There is an urgent need for efficient screening criteria to identify patients who tend to relapse in order to treat them earlier and more systematically.\nMETHODS: We identified two groups of patients with significantly different outcomes by unsupervised cluster analysis of GSE39582 based on 101 significantly differentially expressed immune genes. To develop an accurate and specific signature based on immune-related genes to predict the recurrence of CRC, a multivariate Cox risk regression model was constructed with a training cohort composed of 519 CRC samples. The model was then validated using 129, 292, and 446 samples in the real-time quantitative reverse transcription PCR (qRT-PCR), test, and validation cohorts, respectively.\nRESULTS: This classification system can also be used to predict the prognosis in clinical subgroups and patients with different mutation states. Four independent datasets, including qRT-PCR and The Cancer Genome Atlas (TCGA), demonstrated that they can also be used to accurately predict the overall survival of CRC patients. Further analysis suggested that high-risk patients were characterized by worse effects of chemotherapy and immunotherapy, as well as lower immune scores. Ultimately, the signature was identified as an independent prognostic factor.\nCONCLUSION: The signature can accurately predict recurrence and overall survival in patients with CRC and may serve as a powerful prognostic tool to further optimize cancer immunotherapy.", "claims": [{"id": "claim-method", "statement": "Next, multivariate Cox regression was applied to identify prognostic signatures with the R packages glment, survminer, and survival.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33732694", "locator": "sections[6] \"Prognostic Evaluation Using the IGBRS\" paragraph 2", "quote": "Next, multivariate Cox regression was applied to identify prognostic signatures with the R packages glment, survminer, and survival."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions generated for this study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33732694", "locator": "sections[28] \"Data Availability Statement\" paragraph 2", "quote": "The original contributions generated for this study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s."}], "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:33732694"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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