ArticleNature genetics2023
Multiomic analysis of malignant pleural mesothelioma identifies molecular axes and specialized tumor profiles driving intertumor heterogeneity.
Article in Nature genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
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Who cites it
58 citing papers in PubMed.
- Article
- Patient-Derived Organoid Models and Precision HIPEC in Diffuse Malignant Peritoneal Mesothelioma: Modeling Heterogeneity to Address Recurrence.International journal of molecular sciences · 2026Review
- Protocol for Mesothelioma Observational study of Risk prediction and Generation of paired benign-meso tissue samples, Including a Nested MRI Substudy (Meso-ORIGINS).BMJ open respiratory research · 2026Article
- BAP1 Loss Might Be a Predictive Biomarker for Immunotherapy Response in Pleural Mesothelioma.Thoracic cancer · 2026Article
- Genomic landscape of pleural mesothelioma in Japanese patients: A comprehensive analysis using nationwide database.Translational oncology · 2026Article
- Tumor DNA methylation subtypes predict immunotherapy outcomes in pleural mesothelioma patients in the NIBIT-EPI-MESO study.Nature genetics · 2026Article
- Genetic and Immunohistochemical Profiling of Malignant Mesothelioma With Brain Metastasis: A Report of Two Cases.Cancer reports (Hoboken, N.J.) · 2026Article
- Moving Beyond Morphology: Toward a Morpho-Molecular Classification of Pleural Mesothelioma.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2026Review
- Multiomic, Histologic, and scRNA-seq Profiling of Pleural Mesothelioma Reveals Negative Prognosis Associated With a Novel Uncommitted Molecular Phenotype.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2026Article
- Tumour promotion through the lens of evolution.Nature · 2026Review
- Methylation biomarkers can distinguish pleural mesothelioma from healthy pleura and other pleural pathologies.Molecular oncology · 2026Article
- Multi-omics integration reveals tumor and microenvironmental heterogeneity in malignant pleural mesothelioma.Discover oncology · 2026Article
- Interpretable Cancer Survival Prediction by Fusing Semantic Labelling of Cell Types and Whole Slide Images.Interdisciplinary sciences, computational life sciences · 2026Article
- A proteomics approach to identify predictive blood biomarkers for pleural mesothelioma in prospective cohorts.Clinical and experimental medicine · 2026Article
- A signature-agnostic test for differences between tumor mutation spectra reveals carcinogen and ancestry effects.Communications biology · 2026Article
- Construction and validation of a prognostic risk score model for malignant mesothelioma.Discover oncology · 2026Article
- Integrative multi-omic analyses identify major axes of heterogeneity in chronic obstructive pulmonary disease and uncover their molecular contributors.medRxiv : the preprint server for health sciences · 2026Article
- Article
- Multi-omics integration in malignant pleural mesothelioma: from molecular evolution and immune ecosystems to precision therapy.Frontiers in oncology · 2026Review
- Advances in the Basic Sciences in Thoracic Oncology in the Last 20 Years and Their Translational Impact.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2026Review
Corrections and comments
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Authors and funding
64 authors.
Funding
Abstract
Malignant pleural mesothelioma (MPM) is an aggressive cancer with rising incidence and challenging clinical management. Through a large series of whole-genome sequencing data, integrated with transcriptomic and epigenomic data using multiomics factor analysis, we demonstrate that the current World Health Organization classification only accounts for up to 10% of interpatient molecular differences. Instead, the MESOMICS project paves the way for a morphomolecular classification of MPM based on four dimensions: ploidy, tumor cell morphology, adaptive immune response and CpG island methylator profile. We show that these four dimensions are complementary, capture major interpatient molecular differences and are delimited by extreme phenotypes that-in the case of the interdependent tumor cell morphology and adapted immune response-reflect tumor specialization. These findings unearth the interplay between MPM functional biology and its genomic history, and provide insights into the variations observed in the clinical behavior of patients with MPM.
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