Genomic and Transcriptomic Analyses of Malignant Pleural Mesothelioma (MPM) Samples Reveal Crucial Insights for Preclinical Testing.

genomic analysis malignant pleural mesothelioma patient-derived cell lines preclinical models transcriptomic analysis

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
18 May 2023
Historique:
received: 19 04 2023
revised: 15 05 2023
accepted: 15 05 2023
medline: 22 6 2023
pubmed: 22 6 2023
entrez: 22 6 2023
Statut: epublish

Résumé

Cell lines are extensively used to study cancer biology. However, the use of highly passaged commercial cell lines has to be questioned, as they do not closely resemble the originating tumor. To understand the reliability of preclinical models for Malignant pleural mesothelioma (MPM) studies, we have performed whole transcriptome and whole exome analyses of fresh frozen MPM tumors and compared them to cell lines generated from these tumors, as well as commercial cell lines and a preclinical MPM mouse model. Patient-derived cell lines were generated from digested fresh tumors and whole exome sequencing was performed on DNA isolated from formalin-fixed, paraffin-embedded (FFPE) tumor samples, corresponding patient-derived cell lines, and normal tissue. RNA sequencing libraries were prepared from 10 fresh frozen tumor samples, the 10 corresponding patient-derived cell lines, and 7 commercial cell lines. Our results identified alterations in tumor suppressor genes such as

Identifiants

pubmed: 37345150
pii: cancers15102813
doi: 10.3390/cancers15102813
pmc: PMC10216513
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Swiss Cancer League
ID : KLS-4538-08-2018
Organisme : Stiftung für wissenschaftliche Forschung an der UZH/Erbschaft Bühler
ID : UZH STEB-22, -001
Organisme : Stiftung für angewandte Krebsforschung (SAKF)
ID : UFR20070801

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Auteurs

Alexander Laure (A)

Faculty of Science and Medicine, University of Fribourg, CH-1700 Fribourg, Switzerland.
Faculty of Science, University of Zurich, CH-8006 Zurich, Switzerland.

Angelica Rigutto (A)

Faculty of Science and Medicine, University of Fribourg, CH-1700 Fribourg, Switzerland.
Faculty of Science, University of Zurich, CH-8006 Zurich, Switzerland.

Michaela B Kirschner (MB)

Department of Thoracic Surgery, University Hospital Zurich, CH-8091 Zurich, Switzerland.

Lennart Opitz (L)

Functional Genomics Center Zurich, Swiss Federal Institute of Technology, University of Zurich, CH-8057 Zurich, Switzerland.

Linda Grob (L)

NEXUS Personalized Health Technologies, ETH Zurich, CH-8092 Zurich, Switzerland.
Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland.

Isabelle Opitz (I)

Faculty of Science, University of Zurich, CH-8006 Zurich, Switzerland.
Department of Thoracic Surgery, University Hospital Zurich, CH-8091 Zurich, Switzerland.

Emanuela Felley-Bosco (E)

Faculty of Science, University of Zurich, CH-8006 Zurich, Switzerland.
Laboratory of Molecular Oncology, Department of Thoracic Surgery, University Hospital Zurich, CH-8091 Zurich, Switzerland.

Stefanie Hiltbrunner (S)

Faculty of Science and Medicine, University of Fribourg, CH-1700 Fribourg, Switzerland.
Department of Medical Oncology and Haematology, University Hospital Zurich, CH-8091 Zurich, Switzerland.

Alessandra Curioni-Fontecedro (A)

Faculty of Science and Medicine, University of Fribourg, CH-1700 Fribourg, Switzerland.
Department of Medical Oncology and Haematology, University Hospital Zurich, CH-8091 Zurich, Switzerland.
Department of Oncology, HFR Fribourg-Hôpital Cantonal, CH-1708 Fribourg, Switzerland.

Classifications MeSH