A novel ferroptosis-related gene signature for prognostic prediction of patients with lung adenocarcinoma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34115610", "kind": "science-record", "revision": 8, "content_hash": "sha256:38c5a9b130877bd1133b0865d9a5c6e0c00265752ff6201ec55b4d7642afaba3", "created_at": "2026-11-01T15:41:38Z", "updated_at": "2026-11-01T22:03:56Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "A novel ferroptosis-related gene signature for prognostic prediction of patients with lung adenocarcinoma.", "doi": "10.18632/aging.203140", "pmid": "34115610", "authors": ["Jingjing Jin", "Chuan Liu", "Shanshan Yu", "Lingyi Cai", "Andriamifahimanjaka Sitrakiniaina", "Ruihong Gu", "Wenfeng Li", "Fangfang Wu", "Xiangyang Xue"], "journal": "Aging", "year": 2021, "abstract": "BACKGROUND: Lung adenocarcinoma (LUAD) is a heterogeneous disease characterized by high mortality and poor prognosis. Ferroptosis, a newly discovered iron-dependent type of cell death, has been found to play a crucial role in the development of cancers. However, little is known about the prognostic value of ferroptosis-related genes (FRGs) in LUAD.\nMETHODS: In the present study, RNA-seq transcriptome data of LUAD patients were obtained from The Cancer Genome Atlas (TCGA) database. Cox regression analysis was used to construct a multigene signature. Kaplan-Meier survival and receiver operating characteristic (ROC) curves were utilized to assess the prognostic prediction efficiency of the constructed survival model. LUAD patients from the GSE30219 dataset were used for validation.\nRESULTS: We found 46 differentially expressed FRGs between LUAD and adjacent normal tissues. Via univariate and multivariate Cox regression analyses, 5 differentially expressed FRGs were identified as being highly correlated with LUAD. Patients were divided into low- and high-risk groups according to the risk score. We found that the overall survival (OS) of patients in the high-risk group was significantly worse than that of their low-risk counterparts. (P < 0.0001 in the TCGA dataset and P = 0.044 in the GSE30219 cohort). In addition, gene set variation analysis (GSVA) of the tumor microenvironment of the two groups may explain the different survival of LUAD patients.\nCONCLUSIONS: Our study identified a novel FRG signature that could be used to evaluate and predict the prognosis of LUAD patients, which might provide a new therapeutic target for the treatment of LUAD patients.", "claims": [{"id": "claim-method", "statement": "Survival curves were generated using the Kaplan–Meier method, and differences between groups were compared with the log rank test.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34115610", "locator": "sections[9] \"Statistical analysis\" paragraph 2", "quote": "Survival curves were generated using the Kaplan–Meier method, and differences between groups were compared with the log rank test."}], "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:34115610"], "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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