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pmid:36439446

The prognostic value and immunological role of angiogenesis-related patterns in colon adenocarcinoma.

Weijie Sun · Ying Xu · Baolong Zhao · Min Zhao · Jiaying Chen · Yimin Chu · Haixia Peng

Frontiers in oncology · 2022 doi:10.3389/fonc.2022.1003440

Paper

complete

Experiment

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Data

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Analysis

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title
The prognostic value and immunological role of angiogenesis-related patterns in colon adenocarcinoma.
doi
10.3389/fonc.2022.1003440
pmid
36439446
authors array · 7 items
[0]
Weijie Sun
[1]
Ying Xu
[2]
Baolong Zhao
[3]
Min Zhao
[4]
Jiaying Chen
[5]
Yimin Chu
[6]
Haixia Peng
journal
Frontiers in oncology
year
2022
abstract
Colon adenocarcinoma (COAD) is a malignant tumor with a high mortality rate. Angiogenesis plays a key role in the development and progression of cancer. However, in COAD, studies between angiogenesis and prognosis, immune cell infiltration, and personalized treatment guidance are currently lacking. In the present study, we comprehensively assessed 35 angiogenesis-related genes (ARG) and identified key ARGs affecting OS in COAD patients. The ARG Prognostic Index (ARGPI) was constructed based on a univariate Cox regression model and its prognostic value was evaluated in TCGA-COAD, GSE39582, GSE161158 and TRSJTUSM Cohort. We constructed ARGPI as an independent risk factor for OS in COAD patients and combined with clinical parameters to further construct an ARGPI-based nomogram, which showed a strong ability to predict overall survival in COAD patients. High ARGPI is associated with cancer-related and immune-related biological processes and signaling pathways; high TP53 mutation rate; high infiltration of MSC, pericytes, and stromal cells; and more CMS4 subtype. And low ARGPI benefited more from immune checkpoint inhibitor treatment. In addition, we also predicted the sensitivity of different ARGPI groups to common chemotherapeutic and targeted agents. In conclusion, this study constructed an ARGPI based on ARG, which robustly predicted the OS of COAD patients and provided a possible personalized treatment regime for COAD patients.
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Key genes were then identified by a univariate Cox regression model.
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The ARG Prognostic Index (ARGPI) was constructed based on a univariate Cox regression model and its prognostic value was evaluated in TCGA-COAD, GSE39582, GSE161158 and TRSJTUSM Cohort.
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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
[3] object · 15 fields
id
data:geo:GSE78220
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=GSE78220
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE78220
version
null
note
The original contributions presented in the study are included in the article/ Supplementary Material . Further inquiries can be directed to the corresponding authors.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/ Supplementary Material . Further inquiries can be directed to the corresponding authors.
access_statement_kind
data_availability_statement
sample_accessions array · 28 items
[0]
GSM2069823
[1]
GSM2069824
[2]
GSM2069825
[3]
GSM2069826
[4]
GSM2069827
[5]
GSM2069828
[6]
GSM2069829
[7]
GSM2069830
[8]
GSM2069831
[9]
GSM2069832
[10]
GSM2069833
[11]
GSM2069834
[12]
GSM2069835
[13]
GSM2069836
[14]
GSM2069837
[15]
GSM2069838
[16]
GSM2069839
[17]
GSM2069840
[18]
GSM2069841
[19]
GSM2069842
[20]
GSM2069843
[21]
GSM2069844
[22]
GSM2069845
[23]
GSM2069846
[24]
GSM2069847
[25]
GSM2069848
[26]
GSM2069849
[27]
GSM2069850
sample_count
28
group_sizes
null
group_sizes_basis
null
platform
11154
taxon
Homo sapiens
title
mRNA expressions in pre-treatment melanomas undergoing anti-PD-1 checkpoint inhibition therapy
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 6 items
[0]
asset:data:geo:GSE161158 not downloaded
[1]
asset:data:geo:GSE161158 licence not read
[2]
asset:data:geo:GSE39582 not downloaded
[3]
asset:data:geo:GSE39582 licence not read
[4]
asset:data:geo:GSE78220 not downloaded
[5]
asset:data:geo:GSE78220 licence not read
analysis object · 4 fields
state
partial
methods array · 3 items
[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
Key genes were then identified by a univariate Cox regression model.
[1] object · 10 fields
id
method-2
family
group_comparison
specific
wilcoxon
label
Group comparison
dsl_operations array · 0 items
missing_operations array · 1 item
[0]
group_comparison_wilcoxon
expressible
false
parameters object · 0 fields
data_shapes array · 1 item
[0]
two_or_more_groups_continuous
evidence object · 3 fields
score
0.8
band
high
quote
Wilcoxon
[2] object · 10 fields
id
method-3
family
contingency_analysis
specific
chi_square
label
Categorical (contingency table) analysis
dsl_operations array · 1 item
[0]
chi_square_test
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
categorical_cross_tabulation
evidence object · 3 fields
score
0.8
band
high
quote
chi-square
targets array · 0 items
gaps array · 1 item
[0]
method.reader_differs_from_extractor
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 · 3 items
[0]
GSE39582
[1]
GSE161158
[2]
GSE78220
resolved_accessions array · 3 items
[0]
GSE39582
[1]
GSE161158
[2]
GSE78220
statements array · 1 item
[0]
The original contributions presented in the study are included in the article/ Supplementary Material . Further inquiries can be directed to the corresponding authors.
basis
The paper names GSE39582, GSE161158, GSE78220 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 · 2 items
[0]
source:pmid:36439446
[1]
data:geo:GSE161158
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:GSE161158
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
2026-11-01T18:17:20Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
11070
completion_tokens
2547
cached_tokens
128
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:36439446
type
paper
label
pmid:36439446
[1] object · 3 fields
id
source:pmid:36439446
type
manuscript
label
PMID 36439446 full text
[2] object · 3 fields
id
data:geo:GSE161158
type
dataset
label
GEO GSE161158
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:36439446
type
paper
label
pmid:36439446
[1] object · 3 fields
id
source:pmid:36439446
type
manuscript
label
PMID 36439446 full text
[2] object · 3 fields
id
data:geo:GSE161158
type
dataset
label
GEO GSE161158
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-36439446
type
extraction
used array · 1 item
[0]
source:pmid:36439446
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE161158
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE161158
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:36439446
parent_hash
sha256:be6ef4e0fc21a06abc100e3cdd5afc3d8008b02a675979ae67bf0a6477a824ca
fork_of
null
gaps array · 11 items
[0]
asset:data:geo:GSE161158 licence not read
[1]
asset:data:geo:GSE161158 not downloaded
[2]
asset:data:geo:GSE39582 licence not read
[3]
asset:data:geo:GSE39582 not downloaded
[4]
asset:data:geo:GSE78220 licence not read
[5]
asset:data:geo:GSE78220 not downloaded
[6]
execution.not_run
[7]
method.reader_differs_from_extractor
[8]
review.human_critique
[9]
review.independent_reader
[10]
review.machine_critique
assays array · 1 item
[0] 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]
Key genes were then identified by a univariate Cox regression model.
order_basis
analysis_only
id
assay:1
Complete file
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However, in COAD, studies between angiogenesis and prognosis, immune cell infiltration, and personalized treatment guidance are currently lacking. In the present study, we comprehensively assessed 35 angiogenesis-related genes (ARG) and identified key ARGs affecting OS in COAD patients. The ARG Prognostic Index (ARGPI) was constructed based on a univariate Cox regression model and its prognostic value was evaluated in TCGA-COAD, GSE39582, GSE161158 and TRSJTUSM Cohort. We constructed ARGPI as an independent risk factor for OS in COAD patients and combined with clinical parameters to further construct an ARGPI-based nomogram, which showed a strong ability to predict overall survival in COAD patients. High ARGPI is associated with cancer-related and immune-related biological processes and signaling pathways; high TP53 mutation rate; high infiltration of MSC, pericytes, and stromal cells; and more CMS4 subtype. And low ARGPI benefited more from immune checkpoint inhibitor treatment. In addition, we also predicted the sensitivity of different ARGPI groups to common chemotherapeutic and targeted agents. In conclusion, this study constructed an ARGPI based on ARG, which robustly predicted the OS of COAD patients and provided a possible personalized treatment regime for COAD patients.", "claims": [{"id": "claim-method", "statement": "Key genes were then identified by a univariate Cox regression model.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36439446", "locator": "sections[5] \"Identification of key genes related to angiogenesis\" paragraph 2", "quote": "Key genes were then identified by a univariate Cox regression model."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/ Supplementary Material . Further inquiries can be directed to the corresponding authors.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36439446", "locator": "sections[26] \"Data availability statement\" paragraph 2", "quote": "The original contributions presented in the study are included in the article/ Supplementary Material . 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