Prognostic analysis of m6A-related genes as potential biomarkers in idiopathic pulmonary fibrosis.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36523766", "kind": "science-record", "revision": 4, "content_hash": "sha256:d677f39f555e39f4e1b05585a4dad26a2df431b82ca40e2bc5c11fdcbb786da4", "created_at": "2026-11-01T19:01:01Z", "updated_at": "2026-11-01T22:50:50Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Prognostic analysis of m6A-related genes as potential biomarkers in idiopathic pulmonary fibrosis.", "doi": "10.3389/fgene.2022.1059325", "pmid": "36523766", "authors": ["Zhiqiang Wang", "Lanyu Shen", "Junjie Wang", "Jiaqian Huang", "Huimin Tao", "Xiumin Zhou"], "journal": "Frontiers in genetics", "year": 2022, "abstract": "Idiopathic pulmonary fibrosis (IPF) is a progressive, fatal lung disease with limited treatment options. N6-methyladenosine (m6A) is a reversible RNA modification and has been implicated in various biological processes. However, there are few studies on m6A in IPF. This project mainly explores the prognostic value of m6A-related genes as potential biomarkers in IPF, in order to establish a set of accurate prognostic prediction model. In this study, we used GSE28042 dataset in GEO database to screen out 218 m6A-related candidate genes with high IPF correlation and high differential expression through differentially expressed gene analysis, WGCNA and m6A correlation analysis. The genes associated with the prognosis of IPF were screened out by univariate Cox regression analysis, LASSO analysis, and multivariate Cox regression analysis, and the multivariate Cox model of prognostic risk of related genes was constructed. We found that RBM11, RBM47, RIC3, TRAF5 and ZNF14 were key genes in our model. Finally, the prognostic prediction ability and independent prognostic characteristics of the risk model were evaluated by survival analysis and independent prognostic analysis, and verified by the GSE93606 dataset, which proved that the prognostic risk model we constructed has a strong and stable prediction efficiency.", "claims": [{"id": "claim-method", "statement": "A series of m6A-related prognostic genes were screened by univariate Cox regression analysis (KM < 0.05, p < 0.05), and further screened by LASSO regression method. Then, the prognosis model was constructed by multivariate Cox regression analysis, and the forest map was drawn.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36523766", "locator": "sections[9] \"2.7 Construction of prognostic risk model and independent prognostic analysis\" paragraph 2", "quote": "A series of m6A-related prognostic genes were screened by univariate Cox regression analysis (KM < 0.05, p < 0.05), and further screened by LASSO regression method. Then, the prognosis model was constructed by multivariate Cox regression analysis, and the forest map was drawn."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Publicly available datasets were analyzed in this study. 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This data can be found here: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc&equals;GSE28042 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi"}], "state": "complete"}, {"id": "claim-target-result", "statement": "The five-gene m6A-related prognostic risk model had strong and stable prediction efficiency in idiopathic pulmonary fibrosis.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36523766", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Finally, the prognostic prediction ability and independent prognostic characteristics of the risk model were evaluated by survival analysis and independent prognostic analysis, and verified by the GSE93606 dataset, which proved that the prognostic risk model we constructed has a strong and stable prediction efficiency."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The five-gene m6A-related prognostic risk model had strong and stable prediction efficiency in idiopathic pulmonary fibrosis.", "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:36523766"], "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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