Identification of fibrosis-associated biomarkers in heart failure and human cancers

J Transl Med. 2024 Nov 19;22(1):1042. doi: 10.1186/s12967-024-05759-7.

Abstract

Background: Heart failure (HF) and cancer share common risk factors and pathophysiological mechanisms, including fibrosis. Identifying biomarkers and therapeutic targets for both conditions is crucial.

Materials and methods: RNA sequencing data from HF patients were analyzed to identify 12 genes associated with myocardial fibrosis. Validation was performed using public datasets, and functional enrichment analyses were conducted. Gene expression patterns and prognostic value in various cancers were assessed.

Results: Fibromodulin (FMOD), Periostin (POSTN), Latent Transforming Growth Factor Beta Binding Protein 2 (LTBP2), Collagen Type I Alpha 1 Chain (COL1A1), Collagen Type VIII Alpha 1 Chain (COL8A1), Asporin (ASPN), and Hemoglobin Subunit Beta (HBB) showed significant dysregulation in heart failure tissues and were implicated in multiple cancer types. Pan-cancer analysis revealed associations between these genes and prognosis. Correlations with cancer-associated fibroblasts were also observed.

Conclusion: FMOD, POSTN, LTBP2, COL1A1, COL8A1, ASPN, and HBB are potential biomarkers for HF and cancer with fibrotic microenvironments. Targeting fibrosis may offer novel therapeutic approaches. Further validation and mechanistic studies are needed. This study contributes to understanding HF and cancer at the molecular level and suggests personalized treatment strategies.

Keywords: Bioinformatics analysis; Cancer-associated fibroblasts; Cardiovascular diseases; Heart failure.

MeSH terms

  • Biomarkers / metabolism
  • Biomarkers, Tumor / genetics
  • Biomarkers, Tumor / metabolism
  • Female
  • Fibrosis*
  • Gene Expression Profiling
  • Gene Expression Regulation, Neoplastic
  • Heart Failure* / genetics
  • Heart Failure* / metabolism
  • Heart Failure* / pathology
  • Humans
  • Male
  • Neoplasms* / genetics
  • Neoplasms* / metabolism
  • Neoplasms* / pathology
  • Prognosis
  • Reproducibility of Results

Substances

  • Biomarkers
  • Biomarkers, Tumor