Corpus Engine Towards a reproducible .science file.
← All .science files

pmid:35116589

Development of a novel autophagy-related gene prognostic signature for gastric cancer.

Fanni Li · Yukui Shang · Haowei Zhang · Junjun She · Guanghui Wang · Qi Sun

Translational cancer research · 2021 doi:10.21037/tcr-21-191

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:35116589
kind
science-record
content_hash
sha256:83480593cbb37e0d0eb01e251bb5c0842332740bc30ce5ab91ea2218fd1a5405
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T17:36:51Z
updated_at
2026-11-01T22:48:22Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Development of a novel autophagy-related gene prognostic signature for gastric cancer.
doi
10.21037/tcr-21-191
pmid
35116589
authors array · 6 items
[0]
Fanni Li
[1]
Yukui Shang
[2]
Haowei Zhang
[3]
Junjun She
[4]
Guanghui Wang
[5]
Qi Sun
journal
Translational cancer research
year
2021
abstract
BACKGROUND: A growing number of evidence has revealed the vital role of autophagy in pathological processes of cancer, including gastric cancer (GC). However, many previous studies only focused on exploring single pathway or limited genes of interest in GC, which only reflected partial functions of autophagy. The present study aimed to construct an autophagy-related risk signature for GC. METHODS: Differentially expressed autophagy-related genes (ARGs) in GC and non-tumor samples were screened through The Cancer Genome Atlas (TCGA) database, followed by bioinformatics analysis using the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) platforms. Prognosis-related ARGs were generated by univariate and multivariate Cox regression test. RESULTS: A total of seven prognosis-related ARGs (HSPB8, NRG2, GABARAPL1, TMEM74, DLC1, MAP1LC3C and NRG3) were determined to establish a prognostic index (PI) model, which was demonstrated to be an independent prognostic indicator for patients with GC. More importantly, it was successfully validated in an external cohort of patients from the GSE15460 dataset, indicating the useful reproducibility of this signature. In addition, the PI model was associated with immune cell infiltration estimates in GC. CONCLUSIONS: Taken together, the present study suggested that the seven ARGs-related signature could serve as an independent prognostic indicator for patients with GC.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
Univariate Cox regression analyses were performed to examine the relationship between each differentially expressed ARG and the overall survival (OS) of patients with GC. Only those OS-related ARGs were subsequently analyzed using multivariate Cox regression analysis in order to discover the ARGs that act as independent indicators of poor prognosis.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:35116589
locator
sections[5] "Establishment and evaluation of the ARGs-based PI model" paragraph 2
quote
Univariate Cox regression analyses were performed to examine the relationship between each differentially expressed ARG and the overall survival (OS) of patients with GC. Only those OS-related ARGs were subsequently analyzed using multivariate Cox regression analysis in order to discover the ARGs that act as independent indicators of poor prognosis.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
A variety of ARGs were obtained through the Human Autophagy Database (HADb, http://www.autophagy.lu/index.html).
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:35116589
locator
sections[3] "Data and information extraction" paragraph 2
quote
A variety of ARGs were obtained through the Human Autophagy Database (HADb, http://www.autophagy.lu/index.html).
state
complete
[2] object · 6 fields
id
claim-target-result
statement
A seven-ARG prognostic index model was established as an independent prognostic indicator for patients with gastric cancer and was validated in the external GSE15460 cohort.
kind
qualitative
target
null
evidence array · 2 items
[0] object · 3 fields
asset
source:pmid:35116589
locator
sections[0] "Abstract" paragraph 3
quote
A total of seven prognosis-related ARGs (HSPB8, NRG2, GABARAPL1, TMEM74, DLC1, MAP1LC3C and NRG3) were determined to establish a prognostic index (PI) model, which was demonstrated to be an independent prognostic indicator for patients with GC.
[1] object · 3 fields
asset
source:pmid:35116589
locator
sections[0] "Abstract" paragraph 3
quote
More importantly, it was successfully validated in an external cohort of patients from the GSE15460 dataset, indicating the useful reproducibility of this signature.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
A seven-ARG prognostic index model was established as an independent prognostic indicator for patients with gastric cancer and was validated in the external GSE15460 cohort.
steps array · 3 items
[0] object · 13 fields
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.
parameters object · 0 fields
inputs array · 1 item
[0]
source:pmid:35116589
outputs array · 1 item
[0]
the published estimate and its evidence
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
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.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE15460
outputs array · 1 item
[0]
the source data with its repository provenance
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
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.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE15460
outputs array · 1 item
[0]
the replicated result and its comparison
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 0 items
data object · 3 fields
state
partial
assets array · 2 items
[0] object · 15 fields
id
source:pmid:35116589
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.21037/tcr-21-191
sha256
sha256:ab04cff7134d88e83452758414715e3f557cc1ad4a01bd7cb0aa45fc710e10f0
bytes
23024
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.21037/tcr-21-191
version
null
note
Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
structure object · 4 fields
pmcid
PMC8797385
source
europe_pmc_fulltext
coverage
whole_body_without_references
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE15460
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=GSE15460
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE15460
version
null
note
A variety of ARGs were obtained through the Human Autophagy Database (HADb, http://www.autophagy.lu/index.html).
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
A variety of ARGs were obtained through the Human Autophagy Database (HADb, http://www.autophagy.lu/index.html).
access_statement_kind
repository_route_statement
sample_accessions array · 360 items
[0]
GSM387717
[1]
GSM387718
[2]
GSM387719
[3]
GSM387720
[4]
GSM387721
[5]
GSM387722
[6]
GSM387723
[7]
GSM387724
[8]
GSM387725
[9]
GSM387726
[10]
GSM387727
[11]
GSM387728
[12]
GSM387729
[13]
GSM387730
[14]
GSM387731
[15]
GSM387732
[16]
GSM387733
[17]
GSM387734
[18]
GSM387735
[19]
GSM387736
[20]
GSM387737
[21]
GSM387738
[22]
GSM387739
[23]
GSM387740
[24]
GSM387741
[25]
GSM387742
[26]
GSM387743
[27]
GSM387744
[28]
GSM387745
[29]
GSM387746
[30]
GSM387747
[31]
GSM387748
[32]
GSM387749
[33]
GSM387757
[34]
GSM387758
[35]
GSM387759
[36]
GSM387760
[37]
GSM387761
[38]
GSM387762
[39]
GSM387763
[40]
GSM387764
[41]
GSM387765
[42]
GSM387766
[43]
GSM387767
[44]
GSM387768
[45]
GSM387769
[46]
GSM387770
[47]
GSM387771
[48]
GSM387772
[49]
GSM387773
[50]
GSM387774
[51]
GSM387775
[52]
GSM387776
[53]
GSM387777
[54]
GSM387778
[55]
GSM387779
[56]
GSM387780
[57]
GSM387781
[58]
GSM387782
[59]
GSM387783
[60]
GSM387784
[61]
GSM387785
[62]
GSM387786
[63]
GSM387787
[64]
GSM387788
[65]
GSM387789
[66]
GSM387790
[67]
GSM387791
[68]
GSM387792
[69]
GSM387793
[70]
GSM387794
[71]
GSM387795
[72]
GSM387796
[73]
GSM387797
[74]
GSM387798
[75]
GSM387799
[76]
GSM387800
[77]
GSM387801
[78]
GSM387802
[79]
GSM387803
[80]
GSM387804
[81]
GSM387805
[82]
GSM387806
[83]
GSM387807
[84]
GSM387808
[85]
GSM387809
[86]
GSM387810
[87]
GSM387811
[88]
GSM387812
[89]
GSM387813
[90]
GSM387814
[91]
GSM387815
[92]
GSM387816
[93]
GSM387817
[94]
GSM387818
[95]
GSM387819
[96]
GSM387820
[97]
GSM387821
[98]
GSM387822
[99]
GSM387823
[100]
GSM387824
[101]
GSM387825
[102]
GSM387826
[103]
GSM387827
[104]
GSM387828
[105]
GSM387829
[106]
GSM387830
[107]
GSM387831
[108]
GSM387832
[109]
GSM387833
[110]
GSM387834
[111]
GSM387835
[112]
GSM387836
[113]
GSM387837
[114]
GSM387838
[115]
GSM387839
[116]
GSM387840
[117]
GSM387841
[118]
GSM387842
[119]
GSM387843
[120]
GSM387844
[121]
GSM387845
[122]
GSM387846
[123]
GSM387847
[124]
GSM387848
[125]
GSM387849
[126]
GSM387850
[127]
GSM387851
[128]
GSM387852
[129]
GSM387853
[130]
GSM387854
[131]
GSM387855
[132]
GSM387856
[133]
GSM387857
[134]
GSM387858
[135]
GSM387859
[136]
GSM387860
[137]
GSM387861
[138]
GSM387862
[139]
GSM387863
[140]
GSM387864
[141]
GSM387865
[142]
GSM387866
[143]
GSM387867
[144]
GSM387868
[145]
GSM387869
[146]
GSM387870
[147]
GSM387871
[148]
GSM387872
[149]
GSM387873
[150]
GSM387874
[151]
GSM387875
[152]
GSM387876
[153]
GSM387877
[154]
GSM387878
[155]
GSM387879
[156]
GSM387880
[157]
GSM387881
[158]
GSM387882
[159]
GSM387883
[160]
GSM387884
[161]
GSM387885
[162]
GSM387886
[163]
GSM387887
[164]
GSM387888
[165]
GSM387889
[166]
GSM387890
[167]
GSM387891
[168]
GSM387892
[169]
GSM387893
[170]
GSM387894
[171]
GSM387895
[172]
GSM387896
[173]
GSM387897
[174]
GSM387898
[175]
GSM387899
[176]
GSM387900
[177]
GSM387901
[178]
GSM387902
[179]
GSM387903
[180]
GSM387904
[181]
GSM387905
[182]
GSM387906
[183]
GSM387907
[184]
GSM387908
[185]
GSM387909
[186]
GSM387910
[187]
GSM387911
[188]
GSM387912
[189]
GSM387913
[190]
GSM387914
[191]
GSM387915
[192]
GSM387916
[193]
GSM387917
[194]
GSM387918
[195]
GSM387919
[196]
GSM387920
[197]
GSM387921
[198]
GSM387922
[199]
GSM387923
[200]
GSM387924
[201]
GSM387925
[202]
GSM387926
[203]
GSM387927
[204]
GSM387928
[205]
GSM387929
[206]
GSM387930
[207]
GSM387931
[208]
GSM387932
[209]
GSM387933
[210]
GSM387934
[211]
GSM387935
[212]
GSM387936
[213]
GSM387937
[214]
GSM387938
[215]
GSM387939
[216]
GSM387940
[217]
GSM387941
[218]
GSM387942
[219]
GSM387943
[220]
GSM387944
[221]
GSM387945
[222]
GSM387946
[223]
GSM387947
[224]
GSM387948
[225]
GSM387949
[226]
GSM387950
[227]
GSM387951
[228]
GSM387952
[229]
GSM387953
[230]
GSM387954
[231]
GSM387955
[232]
GSM387956
[233]
GSM387957
[234]
GSM387958
[235]
GSM387959
[236]
GSM387960
[237]
GSM387961
[238]
GSM387962
[239]
GSM387963
[240]
GSM387964
[241]
GSM387965
[242]
GSM387966
[243]
GSM387967
[244]
GSM387968
[245]
GSM387969
[246]
GSM387970
[247]
GSM387971
[248]
GSM387972
[249]
GSM387973
[250]
GSM387974
[251]
GSM387975
[252]
GSM387976
[253]
GSM387977
[254]
GSM387978
[255]
GSM387979
[256]
GSM387980
[257]
GSM387981
[258]
GSM387982
[259]
GSM387983
[260]
GSM387984
[261]
GSM387985
[262]
GSM387986
[263]
GSM387987
[264]
GSM389321
[265]
GSM389322
[266]
GSM389323
[267]
GSM552354
[268]
GSM552355
[269]
GSM552356
[270]
GSM552357
[271]
GSM552358
[272]
GSM552359
[273]
GSM552360
[274]
GSM552361
[275]
GSM552362
[276]
GSM552363
[277]
GSM552364
[278]
GSM552365
[279]
GSM552366
[280]
GSM552367
[281]
GSM552368
[282]
GSM552369
[283]
GSM552370
[284]
GSM552371
[285]
GSM552372
[286]
GSM552373
[287]
GSM552374
[288]
GSM552375
[289]
GSM552376
[290]
GSM552377
[291]
GSM552378
[292]
GSM552379
[293]
GSM552380
[294]
GSM552381
[295]
GSM552382
[296]
GSM552383
[297]
GSM552384
[298]
GSM552385
[299]
GSM552386
[300]
GSM552387
[301]
GSM552388
[302]
GSM552389
[303]
GSM552390
[304]
GSM858082
[305]
GSM858083
[306]
GSM858084
[307]
GSM858085
[308]
GSM858086
[309]
GSM858087
[310]
GSM858088
[311]
GSM858089
[312]
GSM858090
[313]
GSM858091
[314]
GSM858092
[315]
GSM858093
[316]
GSM858094
[317]
GSM858095
[318]
GSM858096
[319]
GSM858097
[320]
GSM858098
[321]
GSM858099
[322]
GSM858100
[323]
GSM858101
[324]
GSM858102
[325]
GSM858103
[326]
GSM858104
[327]
GSM858105
[328]
GSM858106
[329]
GSM858107
[330]
GSM858108
[331]
GSM858109
[332]
GSM858110
[333]
GSM858111
[334]
GSM858112
[335]
GSM858113
[336]
GSM858114
[337]
GSM858115
[338]
GSM858116
[339]
GSM858117
[340]
GSM858118
[341]
GSM858119
[342]
GSM858120
[343]
GSM858121
[344]
GSM858122
[345]
GSM858123
[346]
GSM858124
[347]
GSM858125
[348]
GSM858126
[349]
GSM858127
[350]
GSM858128
[351]
GSM858129
[352]
GSM858130
[353]
GSM858131
[354]
GSM858132
[355]
GSM858133
[356]
GSM858134
[357]
GSM858135
[358]
GSM858136
[359]
GSM858137
sample_count
360
group_sizes
null
group_sizes_basis
null
platform
570;96
taxon
Homo sapiens
title
Oncogenic Pathway Combinations Predict Clinical Prognosis in Gastric Cancer
resolution_checked_at
2026-11-01T17:30:42Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 2 items
[0]
asset:data:geo:GSE15460 not downloaded
[1]
asset:data:geo:GSE15460 licence not read
analysis object · 4 fields
state
complete
methods array · 2 items
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
kaplan_meier
label
Survival analysis
dsl_operations array · 1 item
[0]
survival_km
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
Univariate Cox regression analyses were performed to examine the relationship between each differentially expressed ARG and the overall survival (OS) of patients with GC. Only those OS-related ARGs were subsequently analyzed using multivariate Cox regression analysis in order to discover the ARGs that act as independent indicators of poor prognosis.
[1] object · 10 fields
id
method-2
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
0.7
band
medium
quote
Cox regression
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]
survival_km
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: kaplan_meier.
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 · 1 item
[0]
GSE15460
resolved_accessions array · 1 item
[0]
GSE15460
statements array · 1 item
[0]
A variety of ARGs were obtained through the Human Autophagy Database (HADb, http://www.autophagy.lu/index.html).
basis
The paper names GSE15460 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]
survival_km
assets array · 2 items
[0]
source:pmid:35116589
[1]
data:geo:GSE15460
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:GSE15460
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
2026-11-01T17:32:16Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
null
calls
5
usage object · 3 fields
prompt_tokens
7105
completion_tokens
2297
cached_tokens
188
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:35116589
type
paper
label
pmid:35116589
[1] object · 3 fields
id
source:pmid:35116589
type
manuscript
label
PMID 35116589 full text
[2] object · 3 fields
id
data:geo:GSE15460
type
dataset
label
GEO GSE15460
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:35116589
type
paper
label
pmid:35116589
[1] object · 3 fields
id
source:pmid:35116589
type
manuscript
label
PMID 35116589 full text
[2] object · 3 fields
id
data:geo:GSE15460
type
dataset
label
GEO GSE15460
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-35116589
type
extraction
used array · 1 item
[0]
source:pmid:35116589
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE15460
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE15460
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:35116589
parent_hash
sha256:cb94c35cdf12941282ab5f9f9d95b2ee81e9da2eaec7b4c25a7babb86639c981
fork_of
null
gaps array · 6 items
[0]
asset:data:geo:GSE15460 licence not read
[1]
asset:data:geo:GSE15460 not downloaded
[2]
execution.not_run
[3]
review.human_critique
[4]
review.independent_reader
[5]
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]
survival_km
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Univariate Cox regression analyses were performed to examine the relationship between each differentially expressed ARG and the overall survival (OS) of patients with GC. Only those OS-related ARGs were subsequently analyzed using multivariate Cox regression analysis in order to discover the ARGs that act as independent indicators of poor prognosis.
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35116589", "kind": "science-record", "revision": 4, "content_hash": "sha256:83480593cbb37e0d0eb01e251bb5c0842332740bc30ce5ab91ea2218fd1a5405", "created_at": "2026-11-01T17:36:51Z", "updated_at": "2026-11-01T22:48:22Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Development of a novel autophagy-related gene prognostic signature for gastric cancer.", "doi": "10.21037/tcr-21-191", "pmid": "35116589", "authors": ["Fanni Li", "Yukui Shang", "Haowei Zhang", "Junjun She", "Guanghui Wang", "Qi Sun"], "journal": "Translational cancer research", "year": 2021, "abstract": "BACKGROUND: A growing number of evidence has revealed the vital role of autophagy in pathological processes of cancer, including gastric cancer (GC). However, many previous studies only focused on exploring single pathway or limited genes of interest in GC, which only reflected partial functions of autophagy. The present study aimed to construct an autophagy-related risk signature for GC.\nMETHODS: Differentially expressed autophagy-related genes (ARGs) in GC and non-tumor samples were screened through The Cancer Genome Atlas (TCGA) database, followed by bioinformatics analysis using the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) platforms. Prognosis-related ARGs were generated by univariate and multivariate Cox regression test.\nRESULTS: A total of seven prognosis-related ARGs (HSPB8, NRG2, GABARAPL1, TMEM74, DLC1, MAP1LC3C and NRG3) were determined to establish a prognostic index (PI) model, which was demonstrated to be an independent prognostic indicator for patients with GC. More importantly, it was successfully validated in an external cohort of patients from the GSE15460 dataset, indicating the useful reproducibility of this signature. In addition, the PI model was associated with immune cell infiltration estimates in GC.\nCONCLUSIONS: Taken together, the present study suggested that the seven ARGs-related signature could serve as an independent prognostic indicator for patients with GC.", "claims": [{"id": "claim-method", "statement": "Univariate Cox regression analyses were performed to examine the relationship between each differentially expressed ARG and the overall survival (OS) of patients with GC. Only those OS-related ARGs were subsequently analyzed using multivariate Cox regression analysis in order to discover the ARGs that act as independent indicators of poor prognosis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35116589", "locator": "sections[5] \"Establishment and evaluation of the ARGs-based PI model\" paragraph 2", "quote": "Univariate Cox regression analyses were performed to examine the relationship between each differentially expressed ARG and the overall survival (OS) of patients with GC. Only those OS-related ARGs were subsequently analyzed using multivariate Cox regression analysis in order to discover the ARGs that act as independent indicators of poor prognosis."}], "state": "complete"}, {"id": "claim-data-access", "statement": "A variety of ARGs were obtained through the Human Autophagy Database (HADb, http://www.autophagy.lu/index.html).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35116589", "locator": "sections[3] \"Data and information extraction\" paragraph 2", "quote": "A variety of ARGs were obtained through the Human Autophagy Database (HADb, http://www.autophagy.lu/index.html)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "A seven-ARG prognostic index model was established as an independent prognostic indicator for patients with gastric cancer and was validated in the external GSE15460 cohort.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35116589", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "A total of seven prognosis-related ARGs (HSPB8, NRG2, GABARAPL1, TMEM74, DLC1, MAP1LC3C and NRG3) were determined to establish a prognostic index (PI) model, which was demonstrated to be an independent prognostic indicator for patients with GC."}, {"asset": "source:pmid:35116589", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "More importantly, it was successfully validated in an external cohort of patients from the GSE15460 dataset, indicating the useful reproducibility of this signature."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A seven-ARG prognostic index model was established as an independent prognostic indicator for patients with gastric cancer and was validated in the external GSE15460 cohort.", "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:35116589"], "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:GSE15460"], "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:GSE15460"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35116589", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.21037/tcr-21-191", "sha256": "sha256:ab04cff7134d88e83452758414715e3f557cc1ad4a01bd7cb0aa45fc710e10f0", "bytes": 23024, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.21037/tcr-21-191", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC8797385", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE15460", "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=GSE15460", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE15460", "version": null, "note": "A variety of ARGs were obtained through the Human Autophagy Database (HADb, http://www.autophagy.lu/index.html).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "A variety of ARGs were obtained through the Human Autophagy Database (HADb, http://www.autophagy.lu/index.html).", "access_statement_kind": "repository_route_statement", "sample_accessions": ["GSM387717", "GSM387718", "GSM387719", "GSM387720", "GSM387721", "GSM387722", "GSM387723", "GSM387724", "GSM387725", "GSM387726", "GSM387727", "GSM387728", "GSM387729", "GSM387730", "GSM387731", "GSM387732", "GSM387733", "GSM387734", "GSM387735", "GSM387736", "GSM387737", "GSM387738", "GSM387739", "GSM387740", "GSM387741", "GSM387742", "GSM387743", "GSM387744", "GSM387745", "GSM387746", "GSM387747", "GSM387748", "GSM387749", "GSM387757", "GSM387758", "GSM387759", "GSM387760", "GSM387761", "GSM387762", "GSM387763", "GSM387764", "GSM387765", "GSM387766", "GSM387767", "GSM387768", "GSM387769", "GSM387770", "GSM387771", "GSM387772", "GSM387773", "GSM387774", "GSM387775", "GSM387776", "GSM387777", "GSM387778", "GSM387779", "GSM387780", "GSM387781", "GSM387782", "GSM387783", "GSM387784", "GSM387785", "GSM387786", "GSM387787", "GSM387788", "GSM387789", "GSM387790", "GSM387791", "GSM387792", "GSM387793", "GSM387794", "GSM387795", "GSM387796", "GSM387797", "GSM387798", "GSM387799", "GSM387800", "GSM387801", "GSM387802", "GSM387803", "GSM387804", "GSM387805", "GSM387806", "GSM387807", "GSM387808", "GSM387809", "GSM387810", "GSM387811", "GSM387812", "GSM387813", "GSM387814", "GSM387815", "GSM387816", "GSM387817", "GSM387818", "GSM387819", "GSM387820", "GSM387821", "GSM387822", "GSM387823", "GSM387824", "GSM387825", "GSM387826", "GSM387827", "GSM387828", "GSM387829", "GSM387830", "GSM387831", "GSM387832", "GSM387833", "GSM387834", "GSM387835", "GSM387836", "GSM387837", "GSM387838", "GSM387839", "GSM387840", "GSM387841", "GSM387842", "GSM387843", "GSM387844", "GSM387845", "GSM387846", "GSM387847", "GSM387848", "GSM387849", "GSM387850", "GSM387851", "GSM387852", "GSM387853", "GSM387854", "GSM387855", "GSM387856", "GSM387857", "GSM387858", "GSM387859", "GSM387860", "GSM387861", "GSM387862", "GSM387863", "GSM387864", "GSM387865", "GSM387866", "GSM387867", "GSM387868", "GSM387869", "GSM387870", "GSM387871", "GSM387872", "GSM387873", "GSM387874", "GSM387875", "GSM387876", "GSM387877", "GSM387878", "GSM387879", "GSM387880", "GSM387881", "GSM387882", "GSM387883", "GSM387884", "GSM387885", "GSM387886", "GSM387887", "GSM387888", "GSM387889", "GSM387890", "GSM387891", "GSM387892", "GSM387893", "GSM387894", "GSM387895", "GSM387896", "GSM387897", "GSM387898", "GSM387899", "GSM387900", "GSM387901", "GSM387902", "GSM387903", "GSM387904", "GSM387905", "GSM387906", "GSM387907", "GSM387908", "GSM387909", "GSM387910", "GSM387911", "GSM387912", "GSM387913", "GSM387914", "GSM387915", "GSM387916", "GSM387917", "GSM387918", "GSM387919", "GSM387920", "GSM387921", "GSM387922", "GSM387923", "GSM387924", "GSM387925", "GSM387926", "GSM387927", "GSM387928", "GSM387929", "GSM387930", "GSM387931", "GSM387932", "GSM387933", "GSM387934", "GSM387935", "GSM387936", "GSM387937", "GSM387938", "GSM387939", "GSM387940", "GSM387941", "GSM387942", "GSM387943", "GSM387944", "GSM387945", "GSM387946", "GSM387947", "GSM387948", "GSM387949", "GSM387950", "GSM387951", "GSM387952", "GSM387953", "GSM387954", "GSM387955", "GSM387956", "GSM387957", "GSM387958", "GSM387959", "GSM387960", "GSM387961", "GSM387962", "GSM387963", "GSM387964", "GSM387965", "GSM387966", "GSM387967", "GSM387968", "GSM387969", "GSM387970", "GSM387971", "GSM387972", "GSM387973", "GSM387974", "GSM387975", "GSM387976", "GSM387977", "GSM387978", "GSM387979", "GSM387980", "GSM387981", "GSM387982", "GSM387983", "GSM387984", "GSM387985", "GSM387986", "GSM387987", "GSM389321", "GSM389322", "GSM389323", "GSM552354", "GSM552355", "GSM552356", "GSM552357", "GSM552358", "GSM552359", "GSM552360", "GSM552361", "GSM552362", "GSM552363", "GSM552364", "GSM552365", "GSM552366", "GSM552367", "GSM552368", "GSM552369", "GSM552370", "GSM552371", "GSM552372", "GSM552373", "GSM552374", "GSM552375", "GSM552376", "GSM552377", "GSM552378", "GSM552379", "GSM552380", "GSM552381", "GSM552382", "GSM552383", "GSM552384", "GSM552385", "GSM552386", "GSM552387", "GSM552388", "GSM552389", "GSM552390", "GSM858082", "GSM858083", "GSM858084", "GSM858085", "GSM858086", "GSM858087", "GSM858088", "GSM858089", "GSM858090", "GSM858091", "GSM858092", "GSM858093", "GSM858094", "GSM858095", "GSM858096", "GSM858097", "GSM858098", "GSM858099", "GSM858100", "GSM858101", "GSM858102", "GSM858103", "GSM858104", "GSM858105", "GSM858106", "GSM858107", "GSM858108", "GSM858109", "GSM858110", "GSM858111", "GSM858112", "GSM858113", "GSM858114", "GSM858115", "GSM858116", "GSM858117", "GSM858118", "GSM858119", "GSM858120", "GSM858121", "GSM858122", "GSM858123", "GSM858124", "GSM858125", "GSM858126", "GSM858127", "GSM858128", "GSM858129", "GSM858130", "GSM858131", "GSM858132", "GSM858133", "GSM858134", "GSM858135", "GSM858136", "GSM858137"], "sample_count": 360, "group_sizes": null, "group_sizes_basis": null, "platform": "570;96", "taxon": "Homo sapiens", "title": "Oncogenic Pathway Combinations Predict Clinical Prognosis in Gastric Cancer", "resolution_checked_at": "2026-11-01T17:30:42Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE15460 not downloaded", "asset:data:geo:GSE15460 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "family": "survival_analysis", "specific": "kaplan_meier", "label": "Survival analysis", "dsl_operations": ["survival_km"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "Univariate Cox regression analyses were performed to examine the relationship between each differentially expressed ARG and the overall survival (OS) of patients with GC. Only those OS-related ARGs were subsequently analyzed using multivariate Cox regression analysis in order to discover the ARGs that act as independent indicators of poor prognosis."}}, {"id": "method-2", "family": "survival_analysis", "specific": "cox_proportional_hazards", "label": "Survival analysis", "dsl_operations": ["cox_ph"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["time_to_event_with_censoring"], "evidence": {"score": 0.7, "band": "medium", "quote": "Cox regression"}}], "targets": [], "gaps": []}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["survival_km"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: kaplan_meier."}, "capability": {"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": {"tier": "R1", "reachable": true, "accessions": ["GSE15460"], "resolved_accessions": ["GSE15460"], "statements": ["A variety of ARGs were obtained through the Human Autophagy Database (HADb, http://www.autophagy.lu/index.html)."], "basis": "The paper names GSE15460 in gene expression omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["survival_km"], "assets": ["source:pmid:35116589", "data:geo:GSE15460"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE15460"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T17:32:16Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": null}, "calls": 5, "usage": {"prompt_tokens": 7105, "completion_tokens": 2297, "cached_tokens": 188}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:35116589", "type": "paper", "label": "pmid:35116589"}, {"id": "source:pmid:35116589", "type": "manuscript", "label": "PMID 35116589 full text"}, {"id": "data:geo:GSE15460", "type": "dataset", "label": "GEO GSE15460"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:35116589", "type": "paper", "label": "pmid:35116589"}, {"id": "source:pmid:35116589", "type": "manuscript", "label": "PMID 35116589 full text"}, {"id": "data:geo:GSE15460", "type": "dataset", "label": "GEO GSE15460"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-35116589", "type": "extraction", "used": ["source:pmid:35116589"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE15460", "type": "accession_resolution", "used": ["data:geo:GSE15460"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"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": {"parent_id": "pmid:35116589", "parent_hash": "sha256:cb94c35cdf12941282ab5f9f9d95b2ee81e9da2eaec7b4c25a7babb86639c981", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE15460 licence not read", "asset:data:geo:GSE15460 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "analysis", "definition_id": "survival_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["survival_km"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Univariate Cox regression analyses were performed to examine the relationship between each differentially expressed ARG and the overall survival (OS) of patients with GC. Only those OS-related ARGs were subsequently analyzed using multivariate Cox regression analysis in order to discover the ARGs that act as independent indicators of poor prognosis."], "order_basis": "analysis_only", "id": "assay:1"}]}