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pmid:29653552

Independent prognostic genes and mechanism investigation for colon cancer.

Chunsheng Li · Zhen Shen · Yangyang Zhou · Wei Yu

Biological research · 2018 doi:10.1186/s40659-018-0158-7

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:29653552
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science-record
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2026-11-01T15:40:33Z
updated_at
2026-11-01T21:21:23Z
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paper object · 10 fields
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title
Independent prognostic genes and mechanism investigation for colon cancer.
doi
10.1186/s40659-018-0158-7
pmid
29653552
authors array · 4 items
[0]
Chunsheng Li
[1]
Zhen Shen
[2]
Yangyang Zhou
[3]
Wei Yu
journal
Biological research
year
2018
abstract
PROPOSE: We aimed to explore the potential molecular mechanism and independent prognostic genes for colon cancer (CC). METHODS: Microarray datasets GSE17536 and GSE39582 were downloaded from Gene Expression Omnibus. Meanwhile, the whole CC-related dataset were downloaded from The Cancer Genome Atlas (TCGA) database. Differentially expressed mRNA (DEMs) were identified between cancer tissue samples and para-carcinoma tissue samples in TCGA dataset, followed by the KEGG pathway and GO function analyses. Furthermore, the clinical prognostic analysis including overall survival (OS) and disease-free survival (DFS) were performed in all three datasets. RESULTS: A total of 633 up- and 321 down-regulated mRNAs were revealed in TCGA dataset. The up-regulated mRNAs were mainly assembled in functions including extracellular matrix and pathways including Wnt signaling. The down-regulated mRNAs were mainly assembled in functions like Digestion and pathways like Drug metabolism. Furthermore, up-regulation of UL16-binding protein 2 (ULBP2) was associated with OS in CC patients. A total of 12 DEMs including Surfactant Associated 2 (SFTA2) were potential DFS prognostic genes in CC patients. Meanwhile, the GRP and Transmembrane Protein 37 (TMEM37) were two outstanding independent DFS prognostic genes in CC. CONCLUSIONS: ULBP2 might be a potential novel OS prognostic biomarker in CC, while GRP and TMEM37 could be served as the independent DFS prognostic genes in CC. Furthermore, functions including extracellular matrix and digestion, as well as pathways including Wnt signaling and drug metabolism might play important roles in the process of CC.
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The survival estimation and survival curve examination were performed using Kaplan–Meier method [29] and log-rank test [30], respectively.
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sections[6] "Clinical prognostic analysis" paragraph 2
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The survival estimation and survival curve examination were performed using Kaplan–Meier method [29] and log-rank test [30], respectively.
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Not applicable. This study was only the primary research, and further study has been in progress.
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title
Metastasis Gene Expression Profile Predicts Recurrence and Death in Colon Cancer Patients (Moffitt Samples)
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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
[3] object · 16 fields
id
asset:table:pmid:29653552:1
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:d54e0603ec0475cff6b1d86927dd50325c8e289fc1dfad83b8b4b5b710b205ca
bytes
1664
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[11]/table-wrap[1]#Tab1
version
null
note
The outstanding disease-free prognostic genes for colon cancer
structure object · 5 fields
pmcid
PMC5897983
section_index
11
section_title
Investigation of DFS prognostic gene
row_count
14
column_count
9
table object · 8 fields
label
Table 1
caption
The outstanding disease-free prognostic genes for colon cancer
rows array · 14 items
[0] array · 5 items
[0]
Gene
[1]
FC
[2]
P
[3]
GSE17536
[4]
GSE39582
[1] array · 6 items
[0]
Log-rank P
[1]
HR
[2]
95% CI
[3]
Log-rank P
[4]
HR
[5]
95% CI
[2] array · 9 items
[0]
SFTA2
[1]
63.45
[2]
1.6E−91
[3]
8.87E−03
[4]
0.488
[5]
0.49 (0.28–0.84)
[6]
2.29E−02
[7]
0.708
[8]
0.71 (0.53–0.95)
[3] array · 9 items
[0]
LEMD1
[1]
32.47
[2]
4.3E−98
[3]
1.32E−02
[4]
0.506
[5]
0.51 (0.29–0.88)
[6]
1.47E−02
[7]
0.692
[8]
0.69 (0.51–0.93)
[4] array · 9 items
[0]
COMP
[1]
14.33
[2]
4.3E−82
[3]
3.70E−03
[4]
0.444
[5]
0.44 (0.25–0.78)
[6]
1.48E−02
[7]
0.691
[8]
0.69 (0.51–0.93)
[5] array · 9 items
[0]
KIF26B
[1]
6.86
[2]
2.4E−64
[3]
5.85E−03
[4]
0.466
[5]
0.47 (0.27–0.81)
[6]
1.09E−02
[7]
0.679
[8]
0.68 (0.5–0.92)
[6] array · 9 items
[0]
KLK10
[1]
6.06
[2]
1.1E−99
[3]
5.28E−03
[4]
0.462
[5]
0.46 (0.26–0.81)
[6]
7.06E−03
[7]
0.666
[8]
0.67 (0.49–0.9)
[7] array · 9 items
[0]
MMP11
[1]
3.74
[2]
6.8E−127
[3]
2.96E−03
[4]
0.44
[5]
0.44 (0.25–0.77)
[6]
3.68E−02
[7]
0.731
[8]
0.73 (0.54–0.98)
[8] array · 9 items
[0]
GRP
[1]
3.22
[2]
2.4E−15
[3]
1.43E−02
[4]
0.515
[5]
0.52 (0.3–0.88)
[6]
1.16E−04
[7]
0.554
[8]
0.55 (0.41–0.75)
[9] array · 9 items
[0]
TWIST1
[1]
2.59
[2]
1.3E−28
[3]
4.07E−02
[4]
0.562
[5]
0.56 (0.32–0.98)
[6]
4.29E−02
[7]
0.736
[8]
0.74 (0.55–0.99)
[10] array · 9 items
[0]
RGS16
[1]
2.29
[2]
2.1E−25
[3]
1.90E−04
[4]
0.346
[5]
0.35 (0.19–0.62)
[6]
3.48E−02
[7]
0.726
[8]
0.73 (0.54–0.98)
[11] array · 9 items
[0]
COL8A1
[1]
2.01
[2]
9.6E−15
[3]
1.68E−04
[4]
0.338
[5]
0.34 (0.19–0.61)
[6]
6.21E−03
[7]
0.661
[8]
0.66 (0.49–0.89)
[12] array · 9 items
[0]
TMEM37
[1]
0.47
[2]
1.3E−23
[3]
1.41E−02
[4]
1.986
[5]
1.99 (1.14–3.47)
[6]
1.28E−02
[7]
1.457
[8]
1.46 (1.08–1.96)
[13] array · 9 items
[0]
ARHGAP44
[1]
0.45
[2]
4.8E−20
[3]
4.88E−02
[4]
1.717
[5]
1.72 (1–2.96)
[6]
4.58E−02
[7]
1.349
[8]
1.35 (1–1.82)
locator
section[11]/table-wrap[1]#Tab1
[4] object · 16 fields
id
asset:table:pmid:29653552:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:16a14e5ea477f145bf3e35a6016ff10a27edfb8f663ea317d9ce9109ef3b87d0
bytes
1179
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[12]/table-wrap[1]#Tab2
version
null
note
The potential disease-free survival independent prognostic gene for colon cancer
structure object · 5 fields
pmcid
PMC5897983
section_index
12
section_title
Independent DFS prognostic genes analysis
row_count
14
column_count
7
table object · 8 fields
label
Table 2
caption
The potential disease-free survival independent prognostic gene for colon cancer
rows array · 14 items
[0] array · 3 items
[0]
Gene
[1]
GSE17536
[2]
GSE39582
[1] array · 6 items
[0]
P
[1]
HR
[2]
HRse
[3]
P
[4]
HR
[5]
HRse
[2] array · 7 items
[0]
SFTA2
[1]
0.07
[2]
0.542
[3]
0.28–1.051
[4]
0.114
[5]
0.775
[6]
0.565–1.063
[3] array · 7 items
[0]
LEMD1
[1]
0.465
[2]
0.789
[3]
0.417–1.491
[4]
0.156
[5]
0.796
[6]
0.581–1.091
[4] array · 7 items
[0]
COMP
[1]
0.871
[2]
0.943
[3]
0.466–1.91
[4]
0.953
[5]
0.988
[6]
0.658–1.483
[5] array · 7 items
[0]
KIF26B
[1]
0.915
[2]
1.042
[3]
0.491–2.211
[4]
0.808
[5]
0.955
[6]
0.656–1.39
[6] array · 7 items
[0]
KLK10
[1]
0.319
[2]
0.705
[3]
0.355–1.401
[4]
0.364
[5]
0.861
[6]
0.623–1.19
[7] array · 7 items
[0]
MMP11
[1]
0.566
[2]
0.807
[3]
0.388–1.679
[4]
0.498
[5]
1.148
[6]
0.77–1.711
[8] array · 7 items
[0]
GRP
[1]
0.275
[2]
0.707
[3]
0.38–1.317
[4]
0.011
[5]
0.612
[6]
0.418–0.895
[9] array · 7 items
[0]
TWIST1
[1]
0.215
[2]
1.706
[3]
0.734–3.967
[4]
0.932
[5]
1.017
[6]
0.686–1.509
[10] array · 7 items
[0]
RGS16
[1]
0.184
[2]
0.613
[3]
0.298–1.262
[4]
0.917
[5]
0.982
[6]
0.696–1.385
[11] array · 7 items
[0]
COL8A1
[1]
0.088
[2]
0.445
[3]
0.175–1.128
[4]
0.467
[5]
0.856
[6]
0.563–1.301
[12] array · 7 items
[0]
TMEM37
[1]
0.012
[2]
2.177
[3]
1.183–4.007
[4]
0.114
[5]
1.289
[6]
0.941–1.766
[13] array · 7 items
[0]
ARHGAP44
[1]
0.931
[2]
0.973
[3]
0.524–1.807
[4]
0.642
[5]
1.08
[6]
0.782–1.49
locator
section[12]/table-wrap[1]#Tab2
gaps array · 4 items
[0]
asset:data:geo:GSE17536 not downloaded
[1]
asset:data:geo:GSE17536 licence not read
[2]
asset:data:geo:GSE39582 not downloaded
[3]
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
1
band
verbatim
quote
The survival estimation and survival curve examination were performed using Kaplan–Meier method [29] and log-rank test [30], respectively.
[1] object · 10 fields
id
method-2
family
network_analysis
specific
pathway_enrichment
label
Network / pathway analysis
dsl_operations array · 1 item
[0]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.8
band
high
quote
pathway enrichment
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]
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 · 2 items
[0]
GSE17536
[1]
GSE39582
resolved_accessions array · 2 items
[0]
GSE17536
[1]
GSE39582
statements array · 1 item
[0]
Not applicable. This study was only the primary research, and further study has been in progress.
basis
The paper names GSE17536, GSE39582 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 · 4 items
[0]
source:pmid:29653552
[1]
data:geo:GSE17536
[2]
asset:table:pmid:29653552:1
[3]
asset:table:pmid:29653552:2
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:GSE17536
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
2026-10-31T18:11:24Z
independence
same_provider
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
18124
completion_tokens
1859
cached_tokens
784
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
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pmid:29653552
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pmid:29653552
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PMID 29653552 full text
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data:geo:GSE17536
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GEO GSE17536
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activity-reading-sci-2026-11-01
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classification
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pmid:29653552
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pmid:29653552
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source:pmid:29653552
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PMID 29653552 full text
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data:geo:GSE17536
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GEO GSE17536
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agent:corpus-assay-engine
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source:pmid:29653552
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agent:minimax-reader
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data:geo:GSE17536
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asset:data:geo:GSE17536 licence not read
[1]
asset:data:geo:GSE17536 not downloaded
[2]
asset:data:geo:GSE39582 licence not read
[3]
asset:data:geo:GSE39582 not downloaded
[4]
execution.not_run
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review.human_critique
[6]
review.independent_reader
[7]
review.machine_critique
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[0] object · 11 fields
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data_generation
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microarray
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[0]
nostic genes for colon cancer (CC). METHODS: Microarray datasets GSE17536 and GSE39582 were download
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assay:1
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analysis
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The survival estimation and survival curve examination were performed using Kaplan–Meier method [29] and log-rank test [30], respectively.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:29653552", "kind": "science-record", "revision": 6, "content_hash": "sha256:760189e920b2d85ba0dc15eff98d8f0d99866e96962fc96f0e6c1fd32991edaa", "created_at": "2026-11-01T15:40:33Z", "updated_at": "2026-11-01T21:21:23Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Independent prognostic genes and mechanism investigation for colon cancer.", "doi": "10.1186/s40659-018-0158-7", "pmid": "29653552", "authors": ["Chunsheng Li", "Zhen Shen", "Yangyang Zhou", "Wei Yu"], "journal": "Biological research", "year": 2018, "abstract": "PROPOSE: We aimed to explore the potential molecular mechanism and independent prognostic genes for colon cancer (CC).\nMETHODS: Microarray datasets GSE17536 and GSE39582 were downloaded from Gene Expression Omnibus. Meanwhile, the whole CC-related dataset were downloaded from The Cancer Genome Atlas (TCGA) database. Differentially expressed mRNA (DEMs) were identified between cancer tissue samples and para-carcinoma tissue samples in TCGA dataset, followed by the KEGG pathway and GO function analyses. Furthermore, the clinical prognostic analysis including overall survival (OS) and disease-free survival (DFS) were performed in all three datasets.\nRESULTS: A total of 633 up- and 321 down-regulated mRNAs were revealed in TCGA dataset. The up-regulated mRNAs were mainly assembled in functions including extracellular matrix and pathways including Wnt signaling. The down-regulated mRNAs were mainly assembled in functions like Digestion and pathways like Drug metabolism. Furthermore, up-regulation of UL16-binding protein 2 (ULBP2) was associated with OS in CC patients. A total of 12 DEMs including Surfactant Associated 2 (SFTA2) were potential DFS prognostic genes in CC patients. Meanwhile, the GRP and Transmembrane Protein 37 (TMEM37) were two outstanding independent DFS prognostic genes in CC.\nCONCLUSIONS: ULBP2 might be a potential novel OS prognostic biomarker in CC, while GRP and TMEM37 could be served as the independent DFS prognostic genes in CC. Furthermore, functions including extracellular matrix and digestion, as well as pathways including Wnt signaling and drug metabolism might play important roles in the process of CC.", "claims": [{"id": "claim-method", "statement": "The survival estimation and survival curve examination were performed using Kaplan–Meier method [29] and log-rank test [30], respectively.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:29653552", "locator": "sections[6] \"Clinical prognostic analysis\" paragraph 2", "quote": "The survival estimation and survival curve examination were performed using Kaplan–Meier method [29] and log-rank test [30], respectively."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Not applicable. This study was only the primary research, and further study has been in progress.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:29653552", "locator": "sections[17] \"ack\" paragraph 1", "quote": "Not applicable. This study was only the primary research, and further study has been in progress."}], "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:29653552"], "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:GSE17536"], "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:GSE17536"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:29653552", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1186/s40659-018-0158-7", "sha256": "sha256:6ace7e277c07575fc95e5d58ec8fc92a446243af670877136c42fba7a49c6101", "bytes": 21901, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1186/s40659-018-0158-7", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC5897983", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE17536", "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=GSE17536", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE17536", "version": null, "note": "Not applicable. This study was only the primary research, and further study has been in progress.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Not applicable. This study was only the primary research, and further study has been in progress.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM437093", "GSM437094", "GSM437095", "GSM437096", "GSM437097", "GSM437098", "GSM437099", "GSM437100", "GSM437101", "GSM437102", "GSM437103", "GSM437104", "GSM437105", "GSM437106", "GSM437107", "GSM437108", "GSM437109", "GSM437110", "GSM437111", "GSM437112", "GSM437113", "GSM437114", "GSM437115", "GSM437116", "GSM437117", "GSM437118", "GSM437119", "GSM437120", "GSM437121", "GSM437122", "GSM437123", "GSM437124", "GSM437125", "GSM437126", "GSM437127", "GSM437128", "GSM437129", "GSM437130", "GSM437131", "GSM437132", "GSM437133", "GSM437134", "GSM437135", "GSM437136", "GSM437137", "GSM437138", "GSM437139", "GSM437140", "GSM437141", "GSM437142", "GSM437143", "GSM437144", "GSM437145", "GSM437146", "GSM437147", "GSM437148", "GSM437149", "GSM437150", "GSM437151", "GSM437152", "GSM437153", "GSM437154", "GSM437155", "GSM437156", "GSM437157", "GSM437158", "GSM437159", "GSM437160", "GSM437161", "GSM437162", "GSM437163", "GSM437164", "GSM437165", "GSM437166", "GSM437167", "GSM437168", "GSM437169", "GSM437170", "GSM437171", "GSM437172", "GSM437173", "GSM437174", "GSM437175", "GSM437176", "GSM437177", "GSM437178", "GSM437179", "GSM437180", "GSM437181", "GSM437182", "GSM437183", "GSM437184", "GSM437185", "GSM437186", "GSM437187", "GSM437188", "GSM437189", "GSM437190", "GSM437191", "GSM437192", "GSM437193", "GSM437194", "GSM437195", "GSM437196", "GSM437197", "GSM437198", "GSM437199", "GSM437200", "GSM437201", "GSM437202", "GSM437203", "GSM437204", "GSM437205", "GSM437206", "GSM437207", "GSM437208", "GSM437209", "GSM437210", "GSM437211", "GSM437212", "GSM437213", "GSM437214", "GSM437215", "GSM437216", "GSM437217", "GSM437218", "GSM437219", "GSM437220", "GSM437221", "GSM437222", "GSM437223", "GSM437224", "GSM437225", "GSM437226", "GSM437227", "GSM437228", "GSM437229", "GSM437230", "GSM437231", "GSM437232", "GSM437233", "GSM437234", "GSM437235", "GSM437236", "GSM437237", "GSM437238", "GSM437239", "GSM437240", "GSM437241", "GSM437242", "GSM437243", "GSM437244", "GSM437245", "GSM437246", "GSM437247", "GSM437248", "GSM437249", "GSM437250", "GSM437251", "GSM437252", "GSM437253", "GSM437254", "GSM437255", "GSM437256", "GSM437257", "GSM437258", "GSM437259", "GSM437260", "GSM437261", "GSM437262", "GSM437263", "GSM437264", "GSM437265", "GSM437266", "GSM437267", "GSM437268", "GSM437269"], "sample_count": 177, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Metastasis Gene Expression Profile Predicts Recurrence and Death in Colon Cancer Patients (Moffitt Samples)", "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:GSE39582", "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=GSE39582", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE39582", "version": null, "note": "Not applicable. 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