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November 14, 2025MedicineOpen Access

Identification and validation of a diagnostic and prognostic model based on immune escape and cancer-associated fibroblast-related genes in lung adenocarcinoma

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Authors

YMYuhui MaXLXu LiXWXuena Wang

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Overview

Analysis reveals key immune escape and fibroblast-related genes in non-small cell lung cancer, indicating potential biomarkers.

Key Points

  • This research aims to identify prognostic biomarkers for lung adenocarcinoma using gene expression data.
  • Utilized datasets from TCGA-LUAD and GSE72094
  • Conducted differential expression analysis to find LUAD-associated genes
  • Employed univariate and multivariate Cox regression for risk modeling
  • Performed enrichment analysis using Gene Ontology and KEGG
  • Validated gene expression through reverse transcription-quantitative PCR.
  • Identified 183 differentially expressed immune escape-cancer fibroblast-related genes
  • Selected 6 potential biomarkers: KRT8, S100A16, COL4A3, SMAD9, MAP3K8, and CCDC146
  • Detected significant immune infiltration differences in 9 immune cell types
  • Noted sensitivity to chemotherapeutics in LUAD
  • Highlighted glucose metabolism as a significant pathway in the analysis.

Cite This Study

Ma et al. (2025) studied this question.

synapsesocial.com/papers/69251999c0ce034ddc353aefhttps://doi.org/10.1097/md.0000000000045756
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