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Nature Research, Nature Genetics, 2023

DOI: 10.1038/s41588-023-01321-1

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Multiomic analysis of malignant pleural mesothelioma identifies molecular axes and specialized tumor profiles driving intertumor heterogeneity

Journal article published in 2023 by Lise Mangiante ORCID, Nicolas Alcala ORCID, Alexandra Sexton-Oates, Alex Di Genova, Abel Gonzalez-Perez ORCID, Azhar Khandekar, Erik N. Bergstrom, Jaehee Kim ORCID, Xiran Liu, Ricardo Blazquez-Encinas, Colin Giacobi, Nolwenn Le Stang, Sandrine Boyault ORCID, Cyrille Cuenin, Severine Tabone-Eglinger ORCID and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Data provided by SHERPA/RoMEO

Abstract

AbstractMalignant 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.