Integrative analysis of Anoikis-related genes reveals that FASN is a novel prognostic biomarker and promotes the malignancy of bladder cancer via Wnt/β-catenin pathway.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:39071712", "kind": "science-record", "revision": 3, "content_hash": "sha256:29763b502d3b574c3dcf0348c3620fc4f92229f73d775539ce7661808ff9e85a", "created_at": "2026-11-01T20:29:08Z", "updated_at": "2026-11-01T22:12:19Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Integrative analysis of Anoikis-related genes reveals that FASN is a novel prognostic biomarker and promotes the malignancy of bladder cancer via Wnt/β-catenin pathway.", "doi": "10.1016/j.heliyon.2024.e34029", "pmid": "39071712", "authors": ["Ruoyu Peng", "Xiaohan Ma", "Zhiyun Jiang", "Yu Duan", "Shaogang Lv", "Wei Jing"], "journal": "Heliyon", "year": 2024, "abstract": "Bladder cancer (BC) exhibits diversity in clinical outcomes and is characterized by heterogeneity. Anoikis, a form of programmed cell death, plays a crucial role in facilitating tumor invasion and metastasis. This study comprehensively investigated the genetic landscape of BC progression, identifying 300 differentially expressed Anoikis-related genes (DE-ARGs) through in-depth analysis of the GSE13507 datasets. Functional enrichment analysis revealed associations with diverse diseases and biological processes. Employing machine learning algorithms, a logistic regression model based on nine marker genes demonstrated superior accuracy in distinguishing BC from normal samples. Validation in TCGA datasets highlighted the prognostic significance of LRP1, FASN, and SIRT6, suggesting their potential as cancer biomarkers. Particularly, FASN emerged as an independent prognostic indicator, regulating BC cell proliferation and metastasis through the Wnt/β-catenin pathway. The study provides crucial insights into altered genetic landscapes and potential therapeutic strategies for BC, emphasizing the significance of FASN in BC prognosis and progression.", "claims": [{"id": "claim-method", "statement": "Utilizing the R platform and employing Student's t-test, we successfully identified differentially expressed ARGs (DE-ARGs) between these two sample sets.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39071712", "locator": "sections[4] \"Differential expression analysis\" paragraph 2", "quote": "Utilizing the R platform and employing Student's t-test, we successfully identified differentially expressed ARGs (DE-ARGs) between these two sample sets."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets analyzed during the current study are available in The Cancer Genome Atlas database (TCGA, https://tcga-data.nci.nih.gov/tcga/) and the Gene Expression Omnibus database (GEO, https://www.ncbi.nlm.nih.gov/geo/) [GSE13507 and GSE3167 datasets]. 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