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pmid:34141744

Differential analysis revealing APOC1 to be a diagnostic and prognostic marker for liver metastases of colorectal cancer.

Hai-Yu Shen · Fang-Ze Wei · Qian Liu

World journal of clinical cases · 2021 doi:10.12998/wjcc.v9.i16.3880

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Differential analysis revealing APOC1 to be a diagnostic and prognostic marker for liver metastases of colorectal cancer.
doi
10.12998/wjcc.v9.i16.3880
pmid
34141744
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Hai-Yu Shen
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Fang-Ze Wei
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Qian Liu
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World journal of clinical cases
year
2021
abstract
BACKGROUND: Colorectal cancer (CRC) is one of the most malignant gastrointestinal cancers worldwide. The liver is the most important metastatic target organ, and liver metastasis is the leading cause of death in patients with CRC. Owing to the lack of sensitive biomarkers and unclear molecular mechanism, the occurrence of liver metastases cannot be predicted and the clinical outcomes are bad for liver metastases. Therefore, it is very important to identify the diagnostic or prognostic markers for liver metastases of CRC. AIM: To investigate the highly differentially expressed genes (HDEGs) and prognostic marker for liver metastases of CRC. METHODS: Data from three NCBI Gene Expression Omnibus (GEO) datasets were used to show HDEGs between liver metastases of CRC and tumour or normal samples. These significantly HDEGs of the three GEO datasets take the interactions. And these genes were screened through an online tool to explore the prognostic value. Then, TIMER and R package were utilized to investigate the immunity functions of the HDEGs and gene set enrichment analysis was used to explore their potential functions. RESULTS: Based on the selection criteria, three CRC datasets for exploration (GSE14297, GSE41258, and GSE49355) were chosen. Venn diagrams were used to show HDEGs common to the six groups and 47 HDEGs were obtained. The HDEGs were shown by using STRING and Cytoscape software. Based on the TCGA database, APOC1 showed significantly different expression between N2 and N0, and N2 and N1. And there was also a significant difference in expression between T2 and T4, and between T2 and T3. In 20 paired CRC and normal tissues, quantitative real-time polymerase chain reaction illustrated that the APOC1 mRNA was strongly upregulated in CRC tissues (P = 0.014). PrognoScan and GEPIA2 revealed the prognostic value of APOC1 for overall survival and disease-free survival in CRC (P < 0.05). TIMER showed that APOC1 has a close relationship with immune infiltration (P < 0.05). CONCLUSION: APOC1 is a biomarker that is associated with both the diagnosis and prognosis of liver metastases of CRC.
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[16]
GSM1012294
[17]
GSM1012295
[18]
GSM1012296
[19]
GSM1012297
[20]
GSM1012298
[21]
GSM1012299
[22]
GSM1012300
[23]
GSM1012301
[24]
GSM1012302
[25]
GSM1012303
[26]
GSM1012304
[27]
GSM1012305
[28]
GSM1012306
[29]
GSM1012307
[30]
GSM1012308
[31]
GSM1012309
[32]
GSM1012310
[33]
GSM1012311
[34]
GSM1012312
[35]
GSM1012313
[36]
GSM1012314
[37]
GSM1012315
[38]
GSM1012316
[39]
GSM1012317
[40]
GSM1012318
[41]
GSM1012319
[42]
GSM1012320
[43]
GSM1012321
[44]
GSM1012322
[45]
GSM1012323
[46]
GSM1012324
[47]
GSM1012325
[48]
GSM1012326
[49]
GSM1012327
[50]
GSM1012328
[51]
GSM1012329
[52]
GSM1012330
[53]
GSM1012331
[54]
GSM1012332
[55]
GSM1012333
[56]
GSM1012334
[57]
GSM1012335
[58]
GSM1012336
[59]
GSM1012337
[60]
GSM1012338
[61]
GSM1012339
[62]
GSM1012340
[63]
GSM1012341
[64]
GSM1012342
[65]
GSM1012343
[66]
GSM1012344
[67]
GSM1012345
[68]
GSM1012346
[69]
GSM1012347
[70]
GSM1012348
[71]
GSM1012349
[72]
GSM1012350
[73]
GSM1012351
[74]
GSM1012352
[75]
GSM1012353
[76]
GSM1012354
[77]
GSM1012355
[78]
GSM1012356
[79]
GSM1012357
[80]
GSM1012358
[81]
GSM1012359
[82]
GSM1012360
[83]
GSM1012361
[84]
GSM1012362
[85]
GSM1012363
[86]
GSM1012364
[87]
GSM1012365
[88]
GSM1012366
[89]
GSM1012367
[90]
GSM1012368
[91]
GSM1012369
[92]
GSM1012370
[93]
GSM1012371
[94]
GSM1012372
[95]
GSM1012373
[96]
GSM1012374
[97]
GSM1012375
[98]
GSM1012376
[99]
GSM1012377
[100]
GSM1012378
[101]
GSM1012379
[102]
GSM1012380
[103]
GSM1012381
[104]
GSM1012382
[105]
GSM1012383
[106]
GSM1012384
[107]
GSM1012385
[108]
GSM1012386
[109]
GSM1012387
[110]
GSM1012388
[111]
GSM1012389
[112]
GSM1012390
[113]
GSM1012391
[114]
GSM1012392
[115]
GSM1012393
[116]
GSM1012394
[117]
GSM1012395
[118]
GSM1012396
[119]
GSM1012397
[120]
GSM1012398
[121]
GSM1012399
[122]
GSM1012400
[123]
GSM1012401
[124]
GSM1012402
[125]
GSM1012403
[126]
GSM1012404
[127]
GSM1012405
[128]
GSM1012406
[129]
GSM1012407
[130]
GSM1012408
[131]
GSM1012409
[132]
GSM1012410
[133]
GSM1012411
[134]
GSM1012412
[135]
GSM1012413
[136]
GSM1012414
[137]
GSM1012415
[138]
GSM1012416
[139]
GSM1012417
[140]
GSM1012418
[141]
GSM1012419
[142]
GSM1012420
[143]
GSM1012421
[144]
GSM1012422
[145]
GSM1012423
[146]
GSM1012424
[147]
GSM1012425
[148]
GSM1012426
[149]
GSM1012427
[150]
GSM1012428
[151]
GSM1012429
[152]
GSM1012430
[153]
GSM1012431
[154]
GSM1012432
[155]
GSM1012433
[156]
GSM1012434
[157]
GSM1012435
[158]
GSM1012436
[159]
GSM1012437
[160]
GSM1012438
[161]
GSM1012439
[162]
GSM1012440
[163]
GSM1012441
[164]
GSM1012442
[165]
GSM1012443
[166]
GSM1012444
[167]
GSM1012445
[168]
GSM1012446
[169]
GSM1012447
[170]
GSM1012448
[171]
GSM1012449
[172]
GSM1012450
[173]
GSM1012451
[174]
GSM1012452
[175]
GSM1012453
[176]
GSM1012454
[177]
GSM1012455
[178]
GSM1012456
[179]
GSM1012457
[180]
GSM1012458
[181]
GSM1012459
[182]
GSM1012460
[183]
GSM1012461
[184]
GSM1012462
[185]
GSM1012463
[186]
GSM1012464
[187]
GSM1012465
[188]
GSM1012466
[189]
GSM1012467
[190]
GSM1012468
[191]
GSM1012469
[192]
GSM1012470
[193]
GSM1012471
[194]
GSM1012472
[195]
GSM1012473
[196]
GSM1012474
[197]
GSM1012475
[198]
GSM1012476
[199]
GSM1012477
[200]
GSM1012478
[201]
GSM1012479
[202]
GSM1012480
[203]
GSM1012481
[204]
GSM1012482
[205]
GSM1012483
[206]
GSM1012484
[207]
GSM1012485
[208]
GSM1012486
[209]
GSM1012487
[210]
GSM1012488
[211]
GSM1012489
[212]
GSM1012490
[213]
GSM1012491
[214]
GSM1012492
[215]
GSM1012493
[216]
GSM1012494
[217]
GSM1012495
[218]
GSM1012496
[219]
GSM1012497
[220]
GSM1012498
[221]
GSM1012499
[222]
GSM1012500
[223]
GSM1012501
[224]
GSM1012502
[225]
GSM1012503
[226]
GSM1012504
[227]
GSM1012505
[228]
GSM1012506
[229]
GSM1012507
[230]
GSM1012508
[231]
GSM1012509
[232]
GSM1012510
[233]
GSM1012511
[234]
GSM1012512
[235]
GSM1012513
[236]
GSM1012514
[237]
GSM1012515
[238]
GSM1012516
[239]
GSM1012517
[240]
GSM1012518
[241]
GSM1012519
[242]
GSM1012520
[243]
GSM1012521
[244]
GSM1012522
[245]
GSM1012523
[246]
GSM1012524
[247]
GSM1012525
[248]
GSM1012526
[249]
GSM1012527
[250]
GSM1012528
[251]
GSM1012529
[252]
GSM1012530
[253]
GSM1012531
[254]
GSM1012532
[255]
GSM1012533
[256]
GSM1012534
[257]
GSM1012535
[258]
GSM1012536
[259]
GSM1012537
[260]
GSM1012538
[261]
GSM1012539
[262]
GSM1012540
[263]
GSM1012541
[264]
GSM1012542
[265]
GSM1012543
[266]
GSM1012544
[267]
GSM1012545
[268]
GSM1012546
[269]
GSM1012547
[270]
GSM1012548
[271]
GSM1012549
[272]
GSM1012550
[273]
GSM1012551
[274]
GSM1012552
[275]
GSM1012553
[276]
GSM1012554
[277]
GSM1012555
[278]
GSM1012556
[279]
GSM1012557
[280]
GSM1012558
[281]
GSM1012559
[282]
GSM1012560
[283]
GSM1012561
[284]
GSM1012562
[285]
GSM1012563
[286]
GSM1012564
[287]
GSM1012565
[288]
GSM1012566
[289]
GSM1012567
[290]
GSM1012568
[291]
GSM1012569
[292]
GSM1012570
[293]
GSM1012571
[294]
GSM1012572
[295]
GSM1012573
[296]
GSM1012574
[297]
GSM1012575
[298]
GSM1012576
[299]
GSM1012577
[300]
GSM1012578
[301]
GSM1012579
[302]
GSM1012580
[303]
GSM1012581
[304]
GSM1012582
[305]
GSM1012583
[306]
GSM1012584
[307]
GSM1012585
[308]
GSM1012586
[309]
GSM1012587
[310]
GSM1012588
[311]
GSM1012589
[312]
GSM1012590
[313]
GSM1012591
[314]
GSM1012592
[315]
GSM1012593
[316]
GSM1012594
[317]
GSM1012595
[318]
GSM1012596
[319]
GSM1012597
[320]
GSM1012598
[321]
GSM1012599
[322]
GSM1012600
[323]
GSM1012601
[324]
GSM1012602
[325]
GSM1012603
[326]
GSM1012604
[327]
GSM1012605
[328]
GSM1012606
[329]
GSM1012607
[330]
GSM1012608
[331]
GSM1012609
[332]
GSM1012610
[333]
GSM1012611
[334]
GSM1012612
[335]
GSM1012613
[336]
GSM1012614
[337]
GSM1012615
[338]
GSM1012616
[339]
GSM1012617
[340]
GSM1012618
[341]
GSM1012619
[342]
GSM1012620
[343]
GSM1012621
[344]
GSM1012622
[345]
GSM1012623
[346]
GSM1012624
[347]
GSM1012625
[348]
GSM1012626
[349]
GSM1012627
[350]
GSM1012628
[351]
GSM1012629
[352]
GSM1012630
[353]
GSM1012631
[354]
GSM1012632
[355]
GSM1012633
[356]
GSM1012634
[357]
GSM1012635
[358]
GSM1012636
[359]
GSM1012637
[360]
GSM1012638
[361]
GSM1012639
[362]
GSM1012640
[363]
GSM1012641
[364]
GSM1012642
[365]
GSM1012643
[366]
GSM1012644
[367]
GSM1012645
[368]
GSM1012646
[369]
GSM1012647
[370]
GSM1012648
[371]
GSM1012649
[372]
GSM1012650
[373]
GSM1012651
[374]
GSM1012652
[375]
GSM1012653
[376]
GSM1012654
[377]
GSM1012655
[378]
GSM1012656
[379]
GSM1012657
[380]
GSM1012658
[381]
GSM1012659
[382]
GSM1012660
[383]
GSM1012661
[384]
GSM1012662
[385]
GSM1012663
[386]
GSM1012664
[387]
GSM1012665
[388]
GSM1012666
[389]
GSM1012667
sample_count
390
group_sizes
null
group_sizes_basis
null
platform
96
taxon
Homo sapiens
title
Expression data from colorectal 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
[5] object · 15 fields
id
data:geo:GSE49355
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=GSE49355
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE49355
version
null
note
Technical appendix, statistical code, and dataset available from the corresponding author at fcwpumch@163.com.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Technical appendix, statistical code, and dataset available from the corresponding author at fcwpumch@163.com.
access_statement_kind
data_availability_statement
sample_accessions array · 57 items
[0]
GSM1197996
[1]
GSM1197997
[2]
GSM1197998
[3]
GSM1197999
[4]
GSM1198000
[5]
GSM1198001
[6]
GSM1198002
[7]
GSM1198003
[8]
GSM1198004
[9]
GSM1198005
[10]
GSM1198006
[11]
GSM1198007
[12]
GSM1198008
[13]
GSM1198009
[14]
GSM1198010
[15]
GSM1198011
[16]
GSM1198012
[17]
GSM1198013
[18]
GSM1198014
[19]
GSM1198015
[20]
GSM1198016
[21]
GSM1198017
[22]
GSM1198018
[23]
GSM1198019
[24]
GSM1198020
[25]
GSM1198021
[26]
GSM1198022
[27]
GSM1198023
[28]
GSM1198024
[29]
GSM1198025
[30]
GSM1198026
[31]
GSM1198027
[32]
GSM1198028
[33]
GSM1198029
[34]
GSM1198030
[35]
GSM1198031
[36]
GSM1198032
[37]
GSM1198033
[38]
GSM1198034
[39]
GSM1198035
[40]
GSM1198036
[41]
GSM1198037
[42]
GSM1198038
[43]
GSM1198039
[44]
GSM1198040
[45]
GSM1198041
[46]
GSM1198042
[47]
GSM1198043
[48]
GSM1198044
[49]
GSM1198045
[50]
GSM1198046
[51]
GSM1198047
[52]
GSM1198048
[53]
GSM1198049
[54]
GSM1198050
[55]
GSM1198051
[56]
GSM1198052
sample_count
57
group_sizes
null
group_sizes_basis
null
platform
96
taxon
Homo sapiens
title
Specific extracellular matrix remodeling signature of colon hepatic metastases [HG-U133A]
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[6] object · 16 fields
id
asset:table:pmid:34141744:1
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:649cb126e216103d17f624f7bdb441340e8b9aff595cf3309490596636f05d95
bytes
361
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[13]/table-wrap[1]#T1
version
null
note
Characteristics of datasets
structure object · 5 fields
pmcid
PMC8180235
section_index
13
section_title
Identification of DEGs in the datasets
row_count
4
column_count
6
table object · 8 fields
label
Table 1
caption
Characteristics of datasets
rows array · 4 items
[0] array · 6 items
[0]
Dataset
[1]
N
[2]
T
[3]
M
[4]
Platform ID
[5]
Country
[1] array · 6 items
[0]
GSE41258
[1]
54
[2]
186
[3]
47
[4]
GPL96
[5]
Israel
[2] array · 6 items
[0]
GSE49355
[1]
18
[2]
20
[3]
19
[4]
GPL96
[5]
France
[3] array · 6 items
[0]
GSE14297
[1]
7
[2]
18
[3]
18
[4]
GPL6370
[5]
Germany
locator
section[13]/table-wrap[1]#T1
[7] object · 16 fields
id
asset:table:pmid:34141744:2
role
table
format
jats-table
media_type
application/vnd.jats.table+json
uri
null
sha256
sha256:bd2f6b2528e145c55664a71a20f54c7c3c9e1c39051f064a6d8ee6daa995f86f
bytes
318
access
open
state
verified
reader
read_table
reader_status
available
identifier
section[13]/table-wrap[2]#T2
version
null
note
Differentially highly expressed genes in Gene Expression Omnibus datasets
structure object · 5 fields
pmcid
PMC8180235
section_index
13
section_title
Identification of DEGs in the datasets
row_count
4
column_count
3
table object · 8 fields
label
Table 2
caption
Differentially highly expressed genes in Gene Expression Omnibus datasets
rows array · 4 items
[0] array · 3 items
[0]
Dataset
[1]
L-T
[2]
L-N
[1] array · 3 items
[0]
GSE14297
[1]
178
[2]
308
[2] array · 3 items
[0]
GSE41258
[1]
89
[2]
300
[3] array · 3 items
[0]
GSE49355
[1]
120
[2]
810
locator
section[13]/table-wrap[2]#T2
gaps array · 10 items
[0]
asset:data:geo:GSE14297 not downloaded
[1]
asset:data:geo:GSE14297 licence not read
[2]
asset:data:geo:GSE14333 not downloaded
[3]
asset:data:geo:GSE14333 licence not read
[4]
asset:data:geo:GSE17537 not downloaded
[5]
asset:data:geo:GSE17537 licence not read
[6]
asset:data:geo:GSE41258 not downloaded
[7]
asset:data:geo:GSE41258 licence not read
[8]
asset:data:geo:GSE49355 not downloaded
[9]
asset:data:geo:GSE49355 licence not read
analysis object · 4 fields
state
complete
methods array · 1 item
[0] object · 10 fields
id
method-1
family
differential_expression
specific
limma_voom
label
Differential expression analysis
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
1
band
verbatim
quote
Then, they were screened using R package ‘limma’ for normalisation and HDEG identification.
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 · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
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: limma_voom.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 5 items
[0]
GSE14297
[1]
GSE41258
[2]
GSE49355
[3]
GSE17537
[4]
GSE14333
resolved_accessions array · 5 items
[0]
GSE14297
[1]
GSE41258
[2]
GSE49355
[3]
GSE17537
[4]
GSE14333
statements array · 1 item
[0]
Technical appendix, statistical code, and dataset available from the corresponding author at fcwpumch@163.com.
basis
The paper names GSE14297, GSE41258, GSE49355, GSE17537, GSE14333 in NCBI 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 · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
assets array · 4 items
[0]
source:pmid:34141744
[1]
data:geo:GSE14297
[2]
asset:table:pmid:34141744:1
[3]
asset:table:pmid:34141744:2
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:GSE14297
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
2026-10-31T18:31:11Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
3
usage object · 3 fields
prompt_tokens
18930
completion_tokens
2163
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
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data:geo:GSE14297
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GEO GSE14297
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activity-reading-sci-2026-11-01
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PMID 34141744 full text
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GEO GSE14297
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agent:corpus-assay-engine
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asset:data:geo:GSE14333 not downloaded
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asset:data:geo:GSE17537 licence not read
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asset:data:geo:GSE17537 not downloaded
[6]
asset:data:geo:GSE41258 licence not read
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asset:data:geo:GSE41258 not downloaded
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asset:data:geo:GSE49355 not downloaded
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review.human_critique
[12]
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[13]
review.machine_critique
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Then, they were screened using R package ‘limma’ for normalisation and HDEG identification.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34141744", "kind": "science-record", "revision": 8, "content_hash": "sha256:9f0bc941d9c59d7ec58912f5a47d624667abf82ff67dd214f2117f5fc17bf089", "created_at": "2026-11-01T15:41:39Z", "updated_at": "2026-11-01T22:46:53Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Differential analysis revealing APOC1 to be a diagnostic and prognostic marker for liver metastases of colorectal cancer.", "doi": "10.12998/wjcc.v9.i16.3880", "pmid": "34141744", "authors": ["Hai-Yu Shen", "Fang-Ze Wei", "Qian Liu"], "journal": "World journal of clinical cases", "year": 2021, "abstract": "BACKGROUND: Colorectal cancer (CRC) is one of the most malignant gastrointestinal cancers worldwide. The liver is the most important metastatic target organ, and liver metastasis is the leading cause of death in patients with CRC. Owing to the lack of sensitive biomarkers and unclear molecular mechanism, the occurrence of liver metastases cannot be predicted and the clinical outcomes are bad for liver metastases. Therefore, it is very important to identify the diagnostic or prognostic markers for liver metastases of CRC.\nAIM: To investigate the highly differentially expressed genes (HDEGs) and prognostic marker for liver metastases of CRC.\nMETHODS: Data from three NCBI Gene Expression Omnibus (GEO) datasets were used to show HDEGs between liver metastases of CRC and tumour or normal samples. These significantly HDEGs of the three GEO datasets take the interactions. And these genes were screened through an online tool to explore the prognostic value. Then, TIMER and R package were utilized to investigate the immunity functions of the HDEGs and gene set enrichment analysis was used to explore their potential functions.\nRESULTS: Based on the selection criteria, three CRC datasets for exploration (GSE14297, GSE41258, and GSE49355) were chosen. Venn diagrams were used to show HDEGs common to the six groups and 47 HDEGs were obtained. The HDEGs were shown by using STRING and Cytoscape software. Based on the TCGA database, APOC1 showed significantly different expression between N2 and N0, and N2 and N1. And there was also a significant difference in expression between T2 and T4, and between T2 and T3. In 20 paired CRC and normal tissues, quantitative real-time polymerase chain reaction illustrated that the APOC1 mRNA was strongly upregulated in CRC tissues (P = 0.014). PrognoScan and GEPIA2 revealed the prognostic value of APOC1 for overall survival and disease-free survival in CRC (P < 0.05). TIMER showed that APOC1 has a close relationship with immune infiltration (P < 0.05).\nCONCLUSION: APOC1 is a biomarker that is associated with both the diagnosis and prognosis of liver metastases of CRC.", "claims": [{"id": "claim-method", "statement": "Then, they were screened using R package ‘limma’ for normalisation and HDEG identification.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34141744", "locator": "sections[5] \"Identification of HDEGs in CRC samples\" paragraph 2", "quote": "Then, they were screened using R package ‘limma’ for normalisation and HDEG identification."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Technical appendix, statistical code, and dataset available from the corresponding author at fcwpumch@163.com.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34141744", "locator": "sections[30] \"Data sharing statement\" paragraph 2", "quote": "Technical appendix, statistical code, and dataset available from the corresponding author at fcwpumch@163.com."}], "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:34141744"], "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:GSE14297"], "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:GSE14297"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34141744", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.12998/wjcc.v9.i16.3880", "sha256": "sha256:dfbdf8cefd42b5885a6a55ca129083b2fc78b150afffb4913da3996da30fc26e", "bytes": 23757, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.12998/wjcc.v9.i16.3880", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC8180235", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE14297", "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=GSE14297", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE14297", "version": null, "note": "Technical appendix, statistical code, and dataset available from the corresponding author at fcwpumch@163.com.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Technical appendix, statistical code, and dataset available from the corresponding author at fcwpumch@163.com.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM357551", "GSM357552", "GSM357553", "GSM357554", "GSM357555", "GSM357556", "GSM357557", "GSM357558", "GSM357559", "GSM357560", "GSM357561", "GSM357562", "GSM357563", "GSM357564", "GSM357565", "GSM357566", "GSM357567", "GSM357568", "GSM357569", "GSM357570", "GSM357571", "GSM357572", "GSM357573", "GSM357574", "GSM357575", "GSM357576", "GSM357577", "GSM357578", "GSM357579", "GSM357580", "GSM357581", "GSM357582", "GSM357583", "GSM357584", "GSM357585", "GSM357586", "GSM357587", "GSM357588", "GSM357589", "GSM357590", "GSM357591", "GSM357592", "GSM357593", "GSM357594", "GSM357595", "GSM357596", "GSM357597", "GSM357598"], "sample_count": 48, "group_sizes": null, "group_sizes_basis": null, "platform": "6370", "taxon": "Homo sapiens", "title": "Expression Profile of Primary Colorectal Cancers and associated Liver Metastases", "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:GSE14333", "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=GSE14333", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE14333", "version": null, "note": "Technical appendix, statistical code, and dataset available from the corresponding author at fcwpumch@163.com.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Technical appendix, statistical code, and dataset available from the corresponding author at fcwpumch@163.com.", 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primary colorectal cancers", "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:GSE17537", "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=GSE17537", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE17537", "version": null, "note": "Technical appendix, statistical code, and dataset available from the corresponding author at fcwpumch@163.com.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Technical appendix, statistical code, and dataset available from the corresponding author at fcwpumch@163.com.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM437270", "GSM437271", 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