ArticleBiology2025
Ferroptosis-Linked Six-Gene Panel Enables Machine Learning-Assisted Diagnosis and Therapeutic Guidance in Lung Adenocarcinoma.
Article in Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Lung adenocarcinoma (LUAD) remains the most common subtype of non-small-cell lung cancer and a major cause of cancer mortality, with many patients lacking actionable mutations or durable responses to targeted or immune therapies. Here, we report an integrative analysis of TCGA LUAD transcriptomes (n = 598) seeded from a curated ferroptosis gene catalogue, yielding a compact six-gene signature (AQP4, CDCA3, HJURP, KIF20A, PLK1, UHRF1) with diagnostic, prognostic, and therapeutic relevance. The signature was consistently dysregulated in tumours versus normal lung and stratified patients into high- and low-risk groups with distinct survival outcomes (log-rank
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