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dc.contributor.author Di Genova, A
dc.contributor.author Mangiante, L
dc.contributor.author Sexton-Oates, A
dc.contributor.author Voegele, C
dc.contributor.author Fernandez-Cuesta, L
dc.contributor.author Alcala, N
dc.contributor.author Foll, M
dc.date.accessioned 2024-01-17T15:53:54Z
dc.date.available 2024-01-17T15:53:54Z
dc.date.issued 2023
dc.identifier.uri https://repositorio.uoh.cl/handle/611/274
dc.description.abstract Background: Malignant pleural mesothelioma (MPM) is a rare understudied cancer associated with exposure to asbestos. So far, MPM patients have benefited marginally from the genomics medicine revolution due to the limited size or breadth of existing molecular studies. In the context of the MESOMICS project, we have performed the most comprehensive molecular characterization of MPM to date, with the underlying dataset made of the largest whole-genome sequencing series yet reported, together with transcriptome sequencing and methylation arrays for 120 MPM patients. Results: We first provide comprehensive quality controls for all samples, of both raw and processed data. Due to the difficulty in collecting specimens from such rare tumors, a part of the cohort does not include matched normal material. We provide a detailed analysis of data processing of these tumor-only samples, showing that all somatic alteration calls match very stringent criteria of precision and recall. Finally, integrating our data with previously published multiomic MPM datasets (n = 374 in total), we provide an extensive molecular phenotype map of MPM based on the multitask theory. The generated map can be interactively explored and interrogated on the UCSC TumorMap portal (https://tumormap.ucsc.edu/?p=RCG_MESOMICS/MPM_Archetypes ). Conclusions: This new high-quality MPM multiomics dataset, together with the state-of-art bioinformatics and interactive visualization tools we provide, will support the development of precision medicine in MPM that is particularly challenging to implement in rare cancers due to limited molecular studies.
dc.description.sponsorship French National Cancer Institute (INCa)(Institut National du Cancer (INCA) France)
dc.description.sponsorship Ligue Nationale contre le Cancer (LNCC)(Ligue nationale contre le cancer)
dc.relation.uri http://dx.doi.org/10.1093/gigascience/giac128
dc.subject malignant pleural mesothelioma
dc.subject genomics
dc.subject transcriptomics
dc.subject DNA methylation
dc.subject quality control
dc.subject cancer tasks
dc.subject tumor map
dc.title A molecular phenotypic map of malignant pleural mesothelioma
dc.type Artículo
uoh.revista GIGASCIENCE
dc.identifier.doi 10.1093/gigascience/giac128
dc.citation.volume 12
dc.identifier.orcid Alcala, Nicolas/0000-0002-5961-5064
dc.identifier.orcid Di Genova, Alex/0000-0002-3120-9283
dc.identifier.orcid VOEGELE, Catherine/0000-0002-9592-8869
dc.identifier.orcid Mangiante, Lise/0000-0001-8309-0950
dc.identifier.orcid Foll, Matthieu/0000-0001-9006-8436
dc.identifier.orcid Fernandez-Cuesta, Lynnette/0000-0002-0724-6703
uoh.indizacion Web of Science

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