← 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
paper object · 10 fields
authors array · 6 items
claims array · 3 items
[0] object · 6 fields
evidence array · 1 item
[0] object · 3 fields
[1] object · 6 fields
[2] object · 6 fields
evidence array · 2 items
[0] object · 3 fields
gaps array · 0 items
experiment object · 8 fields
steps array · 3 items
[0] object · 13 fields
parameters object · 0 fields
inputs array · 1 item
outputs array · 1 item
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
parameters object · 0 fields
inputs array · 1 item
outputs array · 1 item
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
parameters object · 0 fields
inputs array · 1 item
outputs array · 1 item
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
assets array · 2 items
[0] object · 15 fields
structure object · 4 fields
[1] object · 15 fields
structure object · 15 fields
sample_accessions array · 360 items
gaps array · 2 items
analysis object · 4 fields
methods array · 2 items
[0] object · 10 fields
dsl_operations array · 1 item
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
evidence object · 3 fields
[1] object · 10 fields
dsl_operations array · 1 item
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
targets array · 0 items
gaps array · 0 items
capability object · 3 fields
requirements array · 1 item
[0] object · 6 fields
assay_families array · 9 items
gaps array · 0 items
readiness object · 8 fields
axes object · 3 fields
method object · 5 fields
required_operations array · 1 item
missing_operations array · 0 items
capability object · 4 fields
data object · 6 fields
accessions array · 1 item
resolved_accessions array · 1 item
statements array · 1 item
can_run object · 3 fields
dsl_operations array · 1 item
assets array · 2 items
steps array · 1 item
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
gaps array · 0 items
review object · 5 fields
machine_critique object · 5 fields
reader object · 5 fields
evidence_check object · 2 fields
usage object · 3 fields
stages array · 1 item
[0] object · 4 fields
gaps array · 3 items
provenance object · 7 fields
entities array · 3 items
activities array · 3 items
[0] object · 4 fields
used array · 3 items
[0] object · 3 fields
[1] object · 3 fields
[2] object · 3 fields
[1] object · 4 fields
agents array · 2 items
lineage object · 4 fields
gaps array · 6 items
assays array · 1 item
[0] object · 11 fields
required_operations array · 1 item
source_hashes object · 1 field
evidence array · 1 item
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"}]}