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Laure A, Rigutto A, Kirschner MB, Opitz L, Grob L, Opitz I, Felley-Bosco E, Hiltbrunner S, Curioni-Fontecedro A. Genomic and Transcriptomic Analyses of Malignant Pleural Mesothelioma (MPM) Samples Reveal Crucial Insights for Preclinical Testing. Cancers (Basel) 2023; 15:2813. [PMID: 37345150 DOI: 10.3390/cancers15102813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 05/15/2023] [Accepted: 05/15/2023] [Indexed: 06/23/2023] Open
Abstract
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 FBXW7, CDKN2A, CDKN2B, and MTAP, all known to drive MPM tumorigenesis. Patient-derived cell lines correlate to a high degree with their originating tumor. Gene expressions involved in multiple pathways such as EMT, apoptosis, myogenesis, and angiogenesis are upregulated in tumor samples when compared to patient-derived cell lines; however, they are downregulated in commercial cell lines compared to patient-derived cell lines, indicating significant differences between the two model systems. Our results show that the genome and transcriptome of tumors correlate to a higher degree with patient-derived cell lines rather than commercial cell lines. These results are of major relevance for the scientific community in regard to using cell lines as an appropriate model, resembling the pathway of interest to avoid misleading results for clinical applications.
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Affiliation(s)
- Alexander Laure
- Faculty of Science and Medicine, University of Fribourg, CH-1700 Fribourg, Switzerland
- Faculty of Science, University of Zurich, CH-8006 Zurich, Switzerland
| | - Angelica Rigutto
- 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
- Department of Thoracic Surgery, University Hospital Zurich, CH-8091 Zurich, Switzerland
| | - Lennart Opitz
- Functional Genomics Center Zurich, Swiss Federal Institute of Technology, University of Zurich, CH-8057 Zurich, Switzerland
| | - Linda Grob
- NEXUS Personalized Health Technologies, ETH Zurich, CH-8092 Zurich, Switzerland
- Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland
| | - Isabelle Opitz
- Faculty of Science, University of Zurich, CH-8006 Zurich, Switzerland
- Department of Thoracic Surgery, University Hospital Zurich, CH-8091 Zurich, Switzerland
| | - Emanuela Felley-Bosco
- 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
- 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
- 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
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