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pmid:34035992

Identification of Vitamin D-related gene signature to predict colorectal cancer prognosis.

Luping Bu · Fengxing Huang · Mengting Li · Yanan Peng · Haizhou Wang · Meng Zhang · Liqun Peng · Lan Liu · Qiu Zhao

PeerJ · 2021 doi:10.7717/peerj.11430

Paper

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Experiment

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Data

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title
Identification of Vitamin D-related gene signature to predict colorectal cancer prognosis.
doi
10.7717/peerj.11430
pmid
34035992
authors array · 9 items
[0]
Luping Bu
[1]
Fengxing Huang
[2]
Mengting Li
[3]
Yanan Peng
[4]
Haizhou Wang
[5]
Meng Zhang
[6]
Liqun Peng
[7]
Lan Liu
[8]
Qiu Zhao
journal
PeerJ
year
2021
abstract
Colorectal cancer (CRC) is one of the most common malignant carcinomas worldwide with poor prognosis, imposing an increasingly heavy burden on patients. Previous experiments and epidemiological studies have shown that vitamin D and vitamin D-related genes play a vital role in CRC. Therefore, we aimed to construct a vitamin D-related gene signature to predict prognosis in CRC. The CRC data from The Cancer Genome Atlas (TCGA) was performed as the training set. A total of 173 vitamin D-related genes in the TCGA CRC dataset were screened, and 17 genes associated with CRC prognosis were identified from them. Then, a vitamin D-related gene signature consisting of those 17 genes was established by univariate and multivariate Cox analyses. Moreover, four external datasets (GSE17536, GSE103479, GSE39582, and GSE17537) were used as testing set to validate the stability of this signature. The high-risk group presented a significantly poorer overall survival than low-risk group in both of training set and testing sets. Besides, the areas under the curve (AUCs) for signature on OS in training set at 1, 3, and 5 years were 0.710, 0.708, 0.710 respectively. The AUCs of the ROC curve in GSE17536 for 1, 3, and 5 years were 0.649, 0.654, and 0.694. These results indicated the vitamin D-related gene signature model could effectively predict the survival status of CRC patients. This vitamin D-related gene signature was also correlated with TNM stage in CRC clinical parameters, and the higher risk score from this model was companied with higher clinical stage. Furthermore, the high accuracy of this prognostic signature was validated and confirmed by nomogram model. In conclusion, we have proposed a novel vitamin D-related gene model to predict the prognosis of CRC, which will help provide new therapeutic targets and act as potential prognostic biomarkers for CRC.
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The following information was supplied regarding data availability: Data is available at TCGA-COAD and NCBI GEO: GSE17536, GSE103479, GSE39582, and GSE17537. https://portal.gdc.cancer.gov/projects/TCGA-COAD.
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GSM1681357
[5]
GSM1681358
[6]
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[7]
GSM1681360
[8]
GSM1681361
[9]
GSM1681362
[10]
GSM1681363
[11]
GSM1681364
[12]
GSM1681365
[13]
GSM1681366
[14]
GSM1681367
[15]
GSM1681368
[16]
GSM1681369
[17]
GSM1681370
[18]
GSM1681371
[19]
GSM971957
[20]
GSM971958
[21]
GSM971959
[22]
GSM971960
[23]
GSM971961
[24]
GSM971962
[25]
GSM971963
[26]
GSM971964
[27]
GSM971965
[28]
GSM971966
[29]
GSM971967
[30]
GSM971968
[31]
GSM971969
[32]
GSM971970
[33]
GSM971971
[34]
GSM971972
[35]
GSM971973
[36]
GSM971974
[37]
GSM971975
[38]
GSM971976
[39]
GSM971977
[40]
GSM971978
[41]
GSM971979
[42]
GSM971980
[43]
GSM971981
[44]
GSM971982
[45]
GSM971983
[46]
GSM971984
[47]
GSM971985
[48]
GSM971986
[49]
GSM971987
[50]
GSM971988
[51]
GSM971989
[52]
GSM971990
[53]
GSM971991
[54]
GSM971992
[55]
GSM971993
[56]
GSM971994
[57]
GSM971995
[58]
GSM971996
[59]
GSM971997
[60]
GSM971998
[61]
GSM971999
[62]
GSM972000
[63]
GSM972001
[64]
GSM972002
[65]
GSM972003
[66]
GSM972004
[67]
GSM972005
[68]
GSM972006
[69]
GSM972007
[70]
GSM972008
[71]
GSM972009
[72]
GSM972010
[73]
GSM972011
[74]
GSM972012
[75]
GSM972013
[76]
GSM972014
[77]
GSM972015
[78]
GSM972016
[79]
GSM972017
[80]
GSM972018
[81]
GSM972019
[82]
GSM972020
[83]
GSM972021
[84]
GSM972022
[85]
GSM972023
[86]
GSM972024
[87]
GSM972025
[88]
GSM972026
[89]
GSM972027
[90]
GSM972028
[91]
GSM972029
[92]
GSM972030
[93]
GSM972031
[94]
GSM972032
[95]
GSM972033
[96]
GSM972034
[97]
GSM972035
[98]
GSM972036
[99]
GSM972037
[100]
GSM972038
[101]
GSM972039
[102]
GSM972040
[103]
GSM972041
[104]
GSM972042
[105]
GSM972043
[106]
GSM972044
[107]
GSM972045
[108]
GSM972046
[109]
GSM972047
[110]
GSM972048
[111]
GSM972049
[112]
GSM972050
[113]
GSM972051
[114]
GSM972052
[115]
GSM972053
[116]
GSM972054
[117]
GSM972055
[118]
GSM972056
[119]
GSM972057
[120]
GSM972058
[121]
GSM972059
[122]
GSM972060
[123]
GSM972061
[124]
GSM972062
[125]
GSM972063
[126]
GSM972064
[127]
GSM972065
[128]
GSM972066
[129]
GSM972067
[130]
GSM972068
[131]
GSM972069
[132]
GSM972070
[133]
GSM972071
[134]
GSM972072
[135]
GSM972073
[136]
GSM972074
[137]
GSM972075
[138]
GSM972076
[139]
GSM972077
[140]
GSM972078
[141]
GSM972079
[142]
GSM972080
[143]
GSM972081
[144]
GSM972082
[145]
GSM972083
[146]
GSM972084
[147]
GSM972085
[148]
GSM972086
[149]
GSM972087
[150]
GSM972088
[151]
GSM972089
[152]
GSM972090
[153]
GSM972091
[154]
GSM972092
[155]
GSM972093
[156]
GSM972094
[157]
GSM972095
[158]
GSM972096
[159]
GSM972097
[160]
GSM972098
[161]
GSM972099
[162]
GSM972100
[163]
GSM972101
[164]
GSM972102
[165]
GSM972103
[166]
GSM972104
[167]
GSM972105
[168]
GSM972106
[169]
GSM972107
[170]
GSM972108
[171]
GSM972109
[172]
GSM972110
[173]
GSM972111
[174]
GSM972112
[175]
GSM972113
[176]
GSM972114
[177]
GSM972115
[178]
GSM972116
[179]
GSM972117
[180]
GSM972118
[181]
GSM972119
[182]
GSM972120
[183]
GSM972121
[184]
GSM972122
[185]
GSM972123
[186]
GSM972124
[187]
GSM972125
[188]
GSM972126
[189]
GSM972127
[190]
GSM972128
[191]
GSM972129
[192]
GSM972130
[193]
GSM972131
[194]
GSM972132
[195]
GSM972133
[196]
GSM972134
[197]
GSM972135
[198]
GSM972136
[199]
GSM972137
[200]
GSM972138
[201]
GSM972139
[202]
GSM972140
[203]
GSM972141
[204]
GSM972142
[205]
GSM972143
[206]
GSM972144
[207]
GSM972145
[208]
GSM972146
[209]
GSM972147
[210]
GSM972148
[211]
GSM972149
[212]
GSM972150
[213]
GSM972151
[214]
GSM972152
[215]
GSM972153
[216]
GSM972154
[217]
GSM972155
[218]
GSM972156
[219]
GSM972157
[220]
GSM972158
[221]
GSM972159
[222]
GSM972160
[223]
GSM972161
[224]
GSM972162
[225]
GSM972163
[226]
GSM972164
[227]
GSM972165
[228]
GSM972166
[229]
GSM972167
[230]
GSM972168
[231]
GSM972169
[232]
GSM972170
[233]
GSM972171
[234]
GSM972172
[235]
GSM972173
[236]
GSM972174
[237]
GSM972175
[238]
GSM972176
[239]
GSM972177
[240]
GSM972178
[241]
GSM972179
[242]
GSM972180
[243]
GSM972181
[244]
GSM972182
[245]
GSM972183
[246]
GSM972184
[247]
GSM972185
[248]
GSM972186
[249]
GSM972187
[250]
GSM972188
[251]
GSM972189
[252]
GSM972190
[253]
GSM972191
[254]
GSM972192
[255]
GSM972193
[256]
GSM972194
[257]
GSM972195
[258]
GSM972196
[259]
GSM972197
[260]
GSM972198
[261]
GSM972199
[262]
GSM972200
[263]
GSM972201
[264]
GSM972202
[265]
GSM972203
[266]
GSM972204
[267]
GSM972205
[268]
GSM972206
[269]
GSM972207
[270]
GSM972208
[271]
GSM972209
[272]
GSM972210
[273]
GSM972211
[274]
GSM972212
[275]
GSM972213
[276]
GSM972214
[277]
GSM972215
[278]
GSM972216
[279]
GSM972217
[280]
GSM972218
[281]
GSM972219
[282]
GSM972220
[283]
GSM972221
[284]
GSM972222
[285]
GSM972223
[286]
GSM972224
[287]
GSM972225
[288]
GSM972226
[289]
GSM972227
[290]
GSM972228
[291]
GSM972229
[292]
GSM972230
[293]
GSM972231
[294]
GSM972232
[295]
GSM972233
[296]
GSM972234
[297]
GSM972235
[298]
GSM972236
[299]
GSM972237
[300]
GSM972238
[301]
GSM972239
[302]
GSM972240
[303]
GSM972241
[304]
GSM972242
[305]
GSM972243
[306]
GSM972244
[307]
GSM972245
[308]
GSM972246
[309]
GSM972247
[310]
GSM972248
[311]
GSM972249
[312]
GSM972250
[313]
GSM972251
[314]
GSM972252
[315]
GSM972253
[316]
GSM972254
[317]
GSM972255
[318]
GSM972256
[319]
GSM972257
[320]
GSM972258
[321]
GSM972259
[322]
GSM972260
[323]
GSM972261
[324]
GSM972262
[325]
GSM972263
[326]
GSM972264
[327]
GSM972265
[328]
GSM972266
[329]
GSM972267
[330]
GSM972268
[331]
GSM972269
[332]
GSM972270
[333]
GSM972271
[334]
GSM972272
[335]
GSM972273
[336]
GSM972274
[337]
GSM972275
[338]
GSM972276
[339]
GSM972277
[340]
GSM972278
[341]
GSM972279
[342]
GSM972280
[343]
GSM972281
[344]
GSM972282
[345]
GSM972283
[346]
GSM972284
[347]
GSM972285
[348]
GSM972286
[349]
GSM972287
[350]
GSM972288
[351]
GSM972289
[352]
GSM972290
[353]
GSM972291
[354]
GSM972292
[355]
GSM972293
[356]
GSM972294
[357]
GSM972295
[358]
GSM972296
[359]
GSM972297
[360]
GSM972298
[361]
GSM972299
[362]
GSM972300
[363]
GSM972301
[364]
GSM972302
[365]
GSM972303
[366]
GSM972304
[367]
GSM972305
[368]
GSM972306
[369]
GSM972307
[370]
GSM972308
[371]
GSM972309
[372]
GSM972310
[373]
GSM972311
[374]
GSM972312
[375]
GSM972313
[376]
GSM972314
[377]
GSM972315
[378]
GSM972316
[379]
GSM972317
[380]
GSM972318
[381]
GSM972319
[382]
GSM972320
[383]
GSM972321
[384]
GSM972322
[385]
GSM972323
[386]
GSM972324
[387]
GSM972325
[388]
GSM972326
[389]
GSM972327
[390]
GSM972328
[391]
GSM972329
[392]
GSM972330
[393]
GSM972331
[394]
GSM972332
[395]
GSM972333
[396]
GSM972334
[397]
GSM972335
[398]
GSM972336
[399]
GSM972337
[400]
GSM972338
[401]
GSM972339
[402]
GSM972340
[403]
GSM972341
[404]
GSM972342
[405]
GSM972343
[406]
GSM972344
[407]
GSM972345
[408]
GSM972346
[409]
GSM972347
[410]
GSM972348
[411]
GSM972349
[412]
GSM972350
[413]
GSM972351
[414]
GSM972352
[415]
GSM972353
[416]
GSM972354
[417]
GSM972355
[418]
GSM972356
[419]
GSM972357
[420]
GSM972358
[421]
GSM972359
[422]
GSM972360
[423]
GSM972361
[424]
GSM972362
[425]
GSM972363
[426]
GSM972364
[427]
GSM972365
[428]
GSM972366
[429]
GSM972367
[430]
GSM972368
[431]
GSM972369
[432]
GSM972370
[433]
GSM972371
[434]
GSM972372
[435]
GSM972373
[436]
GSM972374
[437]
GSM972375
[438]
GSM972376
[439]
GSM972377
[440]
GSM972378
[441]
GSM972379
[442]
GSM972380
[443]
GSM972381
[444]
GSM972382
[445]
GSM972383
[446]
GSM972384
[447]
GSM972385
[448]
GSM972386
[449]
GSM972387
[450]
GSM972388
[451]
GSM972389
[452]
GSM972390
[453]
GSM972391
[454]
GSM972392
[455]
GSM972393
[456]
GSM972394
[457]
GSM972395
[458]
GSM972396
[459]
GSM972397
[460]
GSM972398
[461]
GSM972399
[462]
GSM972400
[463]
GSM972401
[464]
GSM972402
[465]
GSM972403
[466]
GSM972404
[467]
GSM972405
[468]
GSM972406
[469]
GSM972407
[470]
GSM972408
[471]
GSM972409
[472]
GSM972410
[473]
GSM972411
[474]
GSM972412
[475]
GSM972413
[476]
GSM972414
[477]
GSM972415
[478]
GSM972416
[479]
GSM972417
[480]
GSM972418
[481]
GSM972419
[482]
GSM972420
[483]
GSM972421
[484]
GSM972422
[485]
GSM972423
[486]
GSM972424
[487]
GSM972425
[488]
GSM972426
[489]
GSM972427
[490]
GSM972428
[491]
GSM972429
[492]
GSM972430
[493]
GSM972431
[494]
GSM972432
[495]
GSM972433
[496]
GSM972434
[497]
GSM972435
[498]
GSM972436
[499]
GSM972437
[500]
GSM972438
[501]
GSM972439
[502]
GSM972440
[503]
GSM972441
[504]
GSM972442
[505]
GSM972443
[506]
GSM972444
[507]
GSM972445
[508]
GSM972446
[509]
GSM972447
[510]
GSM972448
[511]
GSM972449
[512]
GSM972450
[513]
GSM972451
[514]
GSM972452
[515]
GSM972453
[516]
GSM972454
[517]
GSM972455
[518]
GSM972456
[519]
GSM972457
[520]
GSM972458
[521]
GSM972459
[522]
GSM972460
[523]
GSM972461
[524]
GSM972462
[525]
GSM972463
[526]
GSM972464
[527]
GSM972465
[528]
GSM972466
[529]
GSM972467
[530]
GSM972468
[531]
GSM972469
[532]
GSM972470
[533]
GSM972471
[534]
GSM972472
[535]
GSM972473
[536]
GSM972474
[537]
GSM972475
[538]
GSM972476
[539]
GSM972477
[540]
GSM972478
[541]
GSM972479
[542]
GSM972480
[543]
GSM972481
[544]
GSM972482
[545]
GSM972483
[546]
GSM972484
[547]
GSM972485
[548]
GSM972486
[549]
GSM972487
[550]
GSM972488
[551]
GSM972489
[552]
GSM972490
[553]
GSM972491
[554]
GSM972492
[555]
GSM972493
[556]
GSM972494
[557]
GSM972495
[558]
GSM972496
[559]
GSM972497
[560]
GSM972498
[561]
GSM972499
[562]
GSM972500
[563]
GSM972501
[564]
GSM972502
[565]
GSM972503
[566]
GSM972504
[567]
GSM972505
[568]
GSM972506
[569]
GSM972507
[570]
GSM972508
[571]
GSM972509
[572]
GSM972510
[573]
GSM972511
[574]
GSM972512
[575]
GSM972513
[576]
GSM972514
[577]
GSM972515
[578]
GSM972516
[579]
GSM972517
[580]
GSM972518
[581]
GSM972519
[582]
GSM972520
[583]
GSM972521
[584]
GSM972522
sample_count
585
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Gene expression Classification of Colon Cancer defines six molecular subtypes with distinct clinical, molecular and survival characteristics [Expression]
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 · 16 fields
id
asset:table:pmid:34035992:1
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:2f18eb7a8745b753593643e7b075f3601f361b970d37fde64958edaa70f4ece2
bytes
1048
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[9]/table-wrap[1]#table-1
version
null
note
Seventeen vitamin D-related genes in the prognostic model of CRC.
structure object · 5 fields
pmcid
PMC8126261
section_index
9
section_title
Identification of prognostic vitamin D-related genes in CRC
row_count
19
column_count
4
table object · 8 fields
label
Table 1
caption
Seventeen vitamin D-related genes in the prognostic model of CRC.
rows array · 19 items
[0] array · 4 items
[0]
Gene symbol
[1]
HR
[2]
HR(95% CI)
[3]
P-value
[1] array · 4 items
[0]
CYP24A1
[1]
1.24
[2]
[1.05–1.46]
[3]
0.009832
[2] array · 4 items
[0]
NCOA7
[1]
0.97
[2]
[0.95–1.00]
[3]
0.018687
[3] array · 4 items
[0]
TGFB1
[1]
1.01
[2]
[1.00–1.03]
[3]
0.026872
[4] array · 4 items
[0]
GSR
[1]
0.98
[2]
[0.97–0.99]
[3]
0.000786
[5] array · 4 items
[0]
IGFBP2
[1]
1.00
[2]
[1.00–1.01]
[3]
0.020022
[6] array · 4 items
[0]
IGFBP3
[1]
1.00
[2]
[1.00–1.01]
[3]
0.01205
[7] array · 4 items
[0]
VGF
[1]
1.01
[2]
[1.00–1.02]
[3]
0.015677
[8] array · 4 items
[0]
AGAP2
[1]
1.21
[2]
[1.02–1.42]
[3]
0.024878
[9] array · 4 items
[0]
DENND6B
[1]
1.61
[2]
[1.22–2.13]
[3]
0.00088
[10] array · 4 items
[0]
LRRC8A
[1]
1.03
[2]
[1.01–1.04]
[3]
0.00146
[11] array · 4 items
[0]
BCL6
[1]
1.08
[2]
[1.00–1.17]
[3]
0.04722
[12] array · 4 items
[0]
APBB3
[1]
1.22
[2]
[1.04–1.42]
[3]
0.012596
[13] array · 4 items
[0]
FCER2
[1]
1.13
[2]
[1.06–1.19]
[3]
6.34E-05
[14] array · 4 items
[0]
ELL
[1]
1.18
[2]
[1.04–1.34]
[3]
0.00942
[15] array · 4 items
[0]
MPC1
[1]
0.97
[2]
[0.95–1.00]
[3]
0.023354
[16] array · 4 items
[0]
CD36
[1]
1.06
[2]
[1.01–1.11]
[3]
0.020768
[17] array · 4 items
[0]
AGPAT1
[1]
1.06
[2]
[1.01–1.10]
[3]
0.008734
[18] array · 4 items
[0]
TMCO6
[1]
1.18
[2]
[1.04–1.33]
[3]
0.011792
locator
section[9]/table-wrap[1]#table-1
[6] object · 16 fields
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asset:table:pmid:34035992:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
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null
sha256
sha256:e9d265ad441edcff289996705fd272526209e764fac5efe9bd2956ce989df599
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1313
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[11]/table-wrap[1]#table-2
version
null
note
The characteristics of patients in the TCGA database.
structure object · 5 fields
pmcid
PMC8126261
section_index
11
section_title
Predictive performance of the vitamin D-related gene signature
row_count
24
column_count
5
table object · 8 fields
label
Table 2
caption
The characteristics of patients in the TCGA database.
rows array · 24 items
[0] array · 5 items
[0]
Parameter
[1]
Whole cohort(n = 393)
[2]
Low risk(n = 200)
[3]
High risk(n = 193)
[4]
P-value
[1] array · 5 items
[0]
Age
[1]
[2]
[3]
[4]
[2] array · 5 items
[0]
<70
[1]
178(45.3%)
[2]
100(50%)
[3]
109(56.5%)
[4]
0.2359
[3] array · 5 items
[0]
>=70
[1]
215(54.7%)
[2]
100(50%)
[3]
84(43.5%)
[4]
[4] array · 5 items
[0]
Gender
[1]
[2]
[3]
[4]
[5] array · 5 items
[0]
Male
[1]
207(52.7%)
[2]
101(50.5%)
[3]
106(54.9%)
[4]
0.4373
[6] array · 5 items
[0]
Female
[1]
186(47.3%)
[2]
99(49.5%)
[3]
87(45.1%)
[4]
[7] array · 5 items
[0]
Clinical stage
[1]
[2]
[3]
[4]
[8] array · 5 items
[0]
I
[1]
66(16.8%)
[2]
43(21.5%)
[3]
23(11.9%)
[4]
0.0000476
[9] array · 5 items
[0]
II
[1]
158(40.2%)
[2]
93(46.5%)
[3]
65(33.7%)
[4]
[10] array · 5 items
[0]
III
[1]
105(26.7%)
[2]
44(22.0%)
[3]
61(31.6%)
[4]
[11] array · 5 items
[0]
IV
[1]
64(16.3%)
[2]
20(10.0%)
[3]
44(22.8%)
[4]
[12] array · 5 items
[0]
T classification
[1]
[2]
[3]
[4]
[13] array · 5 items
[0]
T1
[1]
9(2.3%)
[2]
8(4.0%)
[3]
1(0.5%)
[4]
0.0006668
[14] array · 5 items
[0]
T2
[1]
66(16.8%)
[2]
40(20%)
[3]
26(13.5%)
[4]
[15] array · 5 items
[0]
T3
[1]
272(69.2%)
[2]
139(69.5%)
[3]
133(68.9%)
[4]
[16] array · 5 items
[0]
T4
[1]
46(11.7%)
[2]
13(6.5%)
[3]
33(17.1%)
[4]
[17] array · 5 items
[0]
N classification
[1]
[2]
[3]
[4]
[18] array · 5 items
[0]
N0
[1]
233(59.3%)
[2]
139(69.5%)
[3]
94(48.7%)
[4]
0.00001556
[19] array · 5 items
[0]
N1
[1]
90(22.9%)
[2]
41(20.5%)
[3]
49(25.4%)
[4]
[20] array · 5 items
[0]
N2
[1]
70(17.8%)
[2]
20(10.0%)
[3]
50(25.9%)
[4]
[21] array · 5 items
[0]
M classification
[1]
[2]
[3]
[4]
[22] array · 5 items
[0]
M0
[1]
329(83.7%)
[2]
180(90%)
[3]
149(77.2%)
[4]
0.0009721
[23] array · 5 items
[0]
M1
[1]
64(16.3%)
[2]
20(10.0%)
[3]
44(22.8%)
[4]
locator
section[11]/table-wrap[1]#table-2
[7] object · 16 fields
id
asset:table:pmid:34035992:3
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:87d6bb0933ae854724ec7a408a1409ead0a2c059ee77803c77ae811607652689
bytes
881
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[11]/table-wrap[2]#table-3
version
null
note
Univariate and multivariate analyses for overall survival.
structure object · 5 fields
pmcid
PMC8126261
section_index
11
section_title
Predictive performance of the vitamin D-related gene signature
row_count
9
column_count
7
table object · 8 fields
label
Table 3
caption
Univariate and multivariate analyses for overall survival.
rows array · 9 items
[0] array · 2 items
[0]
Univariate analysis
[1]
Multivariate analysis
[1] array · 7 items
[0]
Variables
[1]
HR
[2]
HR.(95% CI)
[3]
P-value
[4]
HR
[5]
HR.(95% CI)
[6]
P-value
[2] array · 7 items
[0]
age
[1]
1.03
[2]
[1.01–1.05]
[3]
0.001519
[4]
1.05
[5]
[1.03–1.07]
[6]
9.14E−07
[3] array · 7 items
[0]
gender
[1]
1.03
[2]
[0.67–1.57]
[3]
0.891596
[4]
1.34
[5]
[0.87–2.08]
[6]
0.185489
[4] array · 7 items
[0]
stage
[1]
2.19
[2]
[1.71–2.79]
[3]
3.09E−10
[4]
1.70
[5]
[0.83–3.49]
[6]
0.14978
[5] array · 7 items
[0]
T
[1]
2.89
[2]
[1.89–4.42]
[3]
9.07E−07
[4]
1.70
[5]
[1.01–2.88]
[6]
0.046063
[6] array · 7 items
[0]
N
[1]
1.98
[2]
[1.54–2.55]
[3]
9.84E−08
[4]
1.14
[5]
[0.72–1.78]
[6]
0.583533
[7] array · 7 items
[0]
M
[1]
4.08
[2]
[2.61–6.38]
[3]
7.58E−10
[4]
1.35
[5]
[0.51–3.58]
[6]
0.540915
[8] array · 7 items
[0]
riskScore
[1]
1.09
[2]
[1.06–1.11]
[3]
3.31E−11
[4]
1.09
[5]
[1.06–1.12]
[6]
1.18E−08
locator
section[11]/table-wrap[2]#table-3
gaps array · 8 items
[0]
asset:data:geo:GSE103479 not downloaded
[1]
asset:data:geo:GSE103479 licence not read
[2]
asset:data:geo:GSE17536 not downloaded
[3]
asset:data:geo:GSE17536 licence not read
[4]
asset:data:geo:GSE17537 not downloaded
[5]
asset:data:geo:GSE17537 licence not read
[6]
asset:data:geo:GSE39582 not downloaded
[7]
asset:data:geo:GSE39582 licence not read
analysis object · 4 fields
state
complete
methods array · 2 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
log_rank_test
label
Survival analysis
dsl_operations array · 1 item
[0]
logrank_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
0.8
band
high
quote
log-rank
[1] object · 10 fields
id
method-2
family
diagnostic_evaluation
specific
roc
label
Diagnostic test evaluation
dsl_operations array · 6 items
[0]
confusion_counts
[1]
roc_curve
[2]
sensitivity_specificity
[3]
solve_confusion_matrix
[4]
classification_metrics
[5]
published_precision_envelope
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
reference_standard_and_test
evidence object · 3 fields
score
0.7
band
medium
quote
ROC curve
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
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network_analysis
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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
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logrank_test
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: log_rank_test.
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 · 4 items
[0]
GSE17536
[1]
GSE103479
[2]
GSE39582
[3]
GSE17537
resolved_accessions array · 4 items
[0]
GSE17536
[1]
GSE103479
[2]
GSE39582
[3]
GSE17537
statements array · 1 item
[0]
The following information was supplied regarding data availability: Data is available at TCGA-COAD and NCBI GEO: GSE17536, GSE103479, GSE39582, and GSE17537. https://portal.gdc.cancer.gov/projects/TCGA-COAD.
basis
The paper names GSE17536, GSE103479, GSE39582, GSE17537 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]
logrank_test
assets array · 5 items
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source:pmid:34035992
[1]
data:geo:GSE103479
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asset:table:pmid:34035992:1
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asset:table:pmid:34035992:2
[4]
asset:table:pmid:34035992:3
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:GSE103479
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
2026-10-31T19:35:22Z
independence
single_reader
evidence_check object · 2 fields
method
absent
availability
verbatim
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3
usage object · 3 fields
prompt_tokens
41061
completion_tokens
1936
cached_tokens
784
stages array · 1 item
[0] object · 4 fields
id
extraction
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complete
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MiniMax-M3.1-Flash
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minimax
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review.independent_reader
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review.machine_critique
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review.human_critique
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gaps array · 1 item
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id
pmid:34035992
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paper
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pmid:34035992
[1] object · 3 fields
id
source:pmid:34035992
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manuscript
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PMID 34035992 full text
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id
data:geo:GSE103479
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dataset
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GEO GSE103479
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[0] object · 4 fields
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activity-reading-sci-2026-11-01
type
classification
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id
pmid:34035992
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paper
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pmid:34035992
[1] object · 3 fields
id
source:pmid:34035992
type
manuscript
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PMID 34035992 full text
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id
data:geo:GSE103479
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dataset
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GEO GSE103479
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agent:corpus-assay-engine
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id
activity-read-34035992
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extraction
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source:pmid:34035992
agent
agent:minimax-reader
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id
activity-resolve-GSE103479
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accession_resolution
used array · 1 item
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data:geo:GSE103479
agent
agent:corpus-assay-engine
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id
agent:corpus-assay-engine
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software
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Corpus assay engine
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id
agent:minimax-reader
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software
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MiniMax literature reader
source_run_id
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dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
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lineage object · 4 fields
parent_id
pmid:34035992
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sha256:d11680f9650c5a03e3fc70ce981d7018eed33d6b07f52f9b94e66e076e52823a
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null
gaps array · 12 items
[0]
asset:data:geo:GSE103479 licence not read
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asset:data:geo:GSE103479 not downloaded
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asset:data:geo:GSE17536 licence not read
[3]
asset:data:geo:GSE17536 not downloaded
[4]
asset:data:geo:GSE17537 licence not read
[5]
asset:data:geo:GSE17537 not downloaded
[6]
asset:data:geo:GSE39582 licence not read
[7]
asset:data:geo:GSE39582 not downloaded
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execution.not_run
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review.human_critique
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review.independent_reader
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review.machine_critique
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role
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survival_analysis
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f2132e96ae6c7a4e
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logrank_test
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dsl_catalogue
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34035992", "kind": "science-record", "revision": 7, "content_hash": "sha256:05e38843dcf8ad171b5ae3dd3694897ad4b992a7b9d09c10d8f9c8b8d4b319a0", "created_at": "2026-11-01T15:41:36Z", "updated_at": "2026-11-01T22:03:50Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of Vitamin D-related gene signature to predict colorectal cancer prognosis.", "doi": "10.7717/peerj.11430", "pmid": "34035992", "authors": ["Luping Bu", "Fengxing Huang", "Mengting Li", "Yanan Peng", "Haizhou Wang", "Meng Zhang", "Liqun Peng", "Lan Liu", "Qiu Zhao"], "journal": "PeerJ", "year": 2021, "abstract": "Colorectal cancer (CRC) is one of the most common malignant carcinomas worldwide with poor prognosis, imposing an increasingly heavy burden on patients. Previous experiments and epidemiological studies have shown that vitamin D and vitamin D-related genes play a vital role in CRC. Therefore, we aimed to construct a vitamin D-related gene signature to predict prognosis in CRC. The CRC data from The Cancer Genome Atlas (TCGA) was performed as the training set. A total of 173 vitamin D-related genes in the TCGA CRC dataset were screened, and 17 genes associated with CRC prognosis were identified from them. Then, a vitamin D-related gene signature consisting of those 17 genes was established by univariate and multivariate Cox analyses. Moreover, four external datasets (GSE17536, GSE103479, GSE39582, and GSE17537) were used as testing set to validate the stability of this signature. The high-risk group presented a significantly poorer overall survival than low-risk group in both of training set and testing sets. Besides, the areas under the curve (AUCs) for signature on OS in training set at 1, 3, and 5 years were 0.710, 0.708, 0.710 respectively. The AUCs of the ROC curve in GSE17536 for 1, 3, and 5 years were 0.649, 0.654, and 0.694. These results indicated the vitamin D-related gene signature model could effectively predict the survival status of CRC patients. This vitamin D-related gene signature was also correlated with TNM stage in CRC clinical parameters, and the higher risk score from this model was companied with higher clinical stage. Furthermore, the high accuracy of this prognostic signature was validated and confirmed by nomogram model. In conclusion, we have proposed a novel vitamin D-related gene model to predict the prognosis of CRC, which will help provide new therapeutic targets and act as potential prognostic biomarkers for CRC.", "claims": [{"id": "claim-data-access", "statement": "The following information was supplied regarding data availability:\nData is available at TCGA-COAD and NCBI GEO: GSE17536, GSE103479, GSE39582, and GSE17537.\nhttps://portal.gdc.cancer.gov/projects/TCGA-COAD.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34035992", "locator": "sections[25] \"Data Availability Statement\" paragraphs 1-4", "quote": "The following information was supplied regarding data availability:\nData is available at TCGA-COAD and NCBI GEO: GSE17536, GSE103479, GSE39582, and GSE17537.\nhttps://portal.gdc.cancer.gov/projects/TCGA-COAD."}], "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:34035992"], "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:GSE103479"], "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:GSE103479"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34035992", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.7717/peerj.11430", "sha256": 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