From asbestos exposure to carcinogenesis: Transcriptomic signatures in malignant pleural mesothelioma
Experimental and Molecular Pathology 2025 May 20 [Link]
Diletta Rosati, Bianca Giulia Maurizi, Viola Bianca Serio, Debora Maffeo, Angela Rina, Francesca Mari, Maria Palmieri, Antonio Giordano, Elisa Frullanti
Abstract
Background: The incidence of malignant pleural mesothelioma (MPM) has surged due to widespread asbestos exposure, particularly since the mid-20th century. Despite significant advancements in cancer treatment, an effective cure for MPM remains elusive, largely due to a limited understanding of the molecular mechanisms underlying asbestos-related carcinogenesis. This exploratory study aims to uncover gene expression patterns uniquely altered in mesothelioma patients with documented asbestos exposure, providing a solid foundation for future research focused on identifying novel prognostic and predictive biomarkers.
Methods: Publicly available RNA sequencing data were analyzed through a bioinformatics pipeline to perform differential gene expression analysis. Additionally, functional enrichment analysis was applied to highlight significantly enriched Gene Ontology (GO) terms related to biological processes, molecular functions, and cellular components, offering insights into the molecular pathways involved in MPM development.
Results: The analysis uncovered a set of differentially expressed genes (DEGs) in MPM patients with documented asbestos exposure, as well as key GO terms. These enriched biological terms reflect processes such as ion homeostasis and oxidative stress response, providing crucial information on the cellular alterations driven by asbestos exposure.
Conclusion: This study’s findings deepen our understanding of the molecular landscape underlying asbestos-induced carcinogenesis in MPM. The identification of specific DEGs and enriched GO terms lays the foundation for future investigations, including the development of biomarkers, with potential implications for the diagnostic and prognostic assessment of MPM.
