Identification and Validation of a Pyroptosis-Related Prognostic Model for Gastric Cancer.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35280928", "kind": "science-record", "revision": 4, "content_hash": "sha256:aa3311d6e39de10d2b9f0c58a4a9f2b9721368bcc0210887b43d4ea11ec72e53", "created_at": "2026-11-01T18:14:03Z", "updated_at": "2026-11-01T22:06:05Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification and Validation of a Pyroptosis-Related Prognostic Model for Gastric Cancer.", "doi": "10.3389/fgene.2021.699503", "pmid": "35280928", "authors": ["Chaowei Liang", "Jiaxin Fan", "Chaojie Liang", "Jiansheng Guo"], "journal": "Frontiers in genetics", "year": 2021, "abstract": "Pyroptosis is an inflammatory form of programmed cell death triggered by caspase-1/4/5/11 that plays an important role in the occurrence and development of gastric cancer (GC). We investigated the prognostic value of pyroptosis-related genes in GC. The \"LIMMA\" R package and univariate Cox analysis were used to find pyroptosis-related genes with differential expression and prognostic value in the TCGA cohort and the identified genes were analyzed for GO enrichment and KEGG pathways. The selected genes were then included in a multivariate Cox proportional hazard regression analysis, and a ten genes prognostic model (BIRC2, CD274, IRGM, ANXA2, GBP5, TXNIP, POP1, GBP1, DHX9, and TLR2) was established. To evaluate the predictive value of the risk score on prognosis, patients were divided into high-risk and low-risk groups according to the median risk score, and survival analysis was carried out. Compared with the low-risk group, the OS of GC patients in the high-risk group was significantly worse. Additionally, these results were verified in the GSE84437 and GSE66229 datasets. Finally, through the combination of prognostic gene characteristics and clinicopathological features, a nomogram was established to predict individual survival probability. The results show that the genetic risk characteristics related to clinical features can be used as independent prognostic indicators for patients with GC. In summary, the pyroptosis-related risk signals proposed in this study can potentially predict the prognosis of patients with GC. In addition, we also found significant infiltration of dendritic cells, macrophages, and neutrophils in tissues of high-risk patients.", "claims": [{"id": "claim-method", "statement": "Univariate Cox proportional hazard regression analysis was used to screen pyroptosis-related genes significantly associated with overall survival (OS) in TCGA gastric cancer data set. Then multivariate Cox proportional hazard regression analysis was performed to establish a prognostic model.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35280928", "locator": "sections[6] \"Establishment and Verification of Prognostic Model\" paragraph 2", "quote": "Univariate Cox proportional hazard regression analysis was used to screen pyroptosis-related genes significantly associated with overall survival (OS) in TCGA gastric cancer data set. Then multivariate Cox proportional hazard regression analysis was performed to establish a prognostic model."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets analyzed for this study can be found in The Cancer Genome Atlas (https://portal.gdc.cancer.gov/) and THE HUMAN GENE DATABASE (https://www.genecards.org/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35280928", "locator": "sections[21] \"Data Availability Statement\" paragraph 2", "quote": "The datasets analyzed for this study can be found in The Cancer Genome Atlas (https://portal.gdc.cancer.gov/) and THE HUMAN GENE DATABASE (https://www.genecards.org/)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The study established a ten-gene pyroptosis-related prognostic model for gastric cancer in which the high-risk group had significantly worse overall survival.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35280928", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "The selected genes were then included in a multivariate Cox proportional hazard regression analysis, and a ten genes prognostic model (BIRC2, CD274, IRGM, ANXA2, GBP5, TXNIP, POP1, GBP1, DHX9, and TLR2) was established."}, {"asset": "source:pmid:35280928", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Compared with the low-risk group, the OS of GC patients in the high-risk group was significantly worse."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "The study established a ten-gene pyroptosis-related prognostic model for gastric cancer in which the high-risk group had significantly worse overall survival.", "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:35280928"], "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. 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