ArticleJournal of translational medicine2025
The phenogenomic landscapes of pleural mesothelioma tumor microenvironment predict clinical outcomes.
Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- An analysis of succinate dehydrogenase B in pleural mesothelioma.Discover oncology · 2026Article
- Article
- Multi-omics integration in malignant pleural mesothelioma: from molecular evolution and immune ecosystems to precision therapy.Frontiers in oncology · 2026Review
- Review
- Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
backgroundMalignant pleural mesothelioma (MPM) is a rare and aggressive malignancy with limited therapeutic options. To improve patients management and treatment, more precise stratification strategies are needed. This study aimed to characterize the phenogenomic landscapes of MPM and to understand their influence on patients clinical outcomes.
methodsWe conducted a phenogenomic analysis on 22 MPM patients using two high throughput approaches: imaging mass cytometry (IMC) with whole exome sequencing (WES). Resulting profiles were addressed for their clinical relevance to predict patients prognosis.
resultsIMC revealed a highly heterogeneous tumor microenvironment (TME) with distinct tumor cell subpopulations. Notably, we identified a novel sarcomatoid-like cellular cluster associated with poor prognosis. The TME was also infiltrated with immune cells including macrophages and CD4
conclusionsOur findings underscore the intricate interplay between the tumor genome, TME composition, and clinical outcomes in MPM. These data support the potential of integrating genomic and TME profiling to develop more precise patient stratification strategies and potentially optimize therapeutic approaches, including immunotherapy.
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