Predictive and Prognostic Factors in Mesothelioma

A special issue of Cancers (ISSN 2072-6694).

Deadline for manuscript submissions: closed (20 April 2023) | Viewed by 4079

Special Issue Editors


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Guest Editor
Mesothelioma Unit, Azienda Ospedaliera SS Antonio e Biagio e Cesare Arrigo, 15121 Alessandria, Italy
Interests: mesothelioma; genetics; molecular biology

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Guest Editor
Department of Medical Oncology and Hematology, University Hospital Zurich, 8091 Zurich, Switzerland
Interests: lung cancer and thymus tumors; mesothelioma; clinical trials of immunotherapy for cancer

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Guest Editor
Department of Medical Oncology and Hematology, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
Interests: immune response; cancer immunotherapy; exosomes; immunotherapy; NSCLC; mesothelioma

Special Issue Information

Dear Colleagues, 

Malignant pleural mesothelioma is an aggressive disease with poor prognosis. Recently the use of immunotherapy in first line with Nivolumab and Ipilimumab have improved the overall survival of patients with inoperable disease compared to chemotherapy. To date, it is unclear which factors might play a role in prediction of therapy-responses and prognosis for this disease.

This special issue will cover a broad range of data regarding the predictive and prognostic role of:

  • Clinical features
  • Laboratory values
  • Imaging features
  • Molecular signatures
  • Tumor microenvironment characteristics

Dr. Federica Grosso
Dr. Alessandra Curioni-Fontecedro
Dr. Stefanie Hiltbrunner
Guest Editors

Manuscript Submission Information

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Keywords

  • pleural mesothelioma
  • genetic signatures
  • predictive soluble factors
  • predictive immune signatures

Published Papers (2 papers)

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Research

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23 pages, 3114 KiB  
Article
Genomic and Transcriptomic Analyses of Malignant Pleural Mesothelioma (MPM) Samples Reveal Crucial Insights for Preclinical Testing
by Alexander Laure, Angelica Rigutto, Michaela B. Kirschner, Lennart Opitz, Linda Grob, Isabelle Opitz, Emanuela Felley-Bosco, Stefanie Hiltbrunner and Alessandra Curioni-Fontecedro
Cancers 2023, 15(10), 2813; https://doi.org/10.3390/cancers15102813 - 18 May 2023
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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) [...] Read more.
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. Full article
(This article belongs to the Special Issue Predictive and Prognostic Factors in Mesothelioma)
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Review

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13 pages, 837 KiB  
Review
Exploring the Expression of the «Dark Matter» of the Genome in Mesothelioma for Potentially Predictive Biomarkers for Prognosis and Immunotherapy
by Emanuela Felley-Bosco
Cancers 2023, 15(11), 2969; https://doi.org/10.3390/cancers15112969 - 29 May 2023
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Abstract
Recent high-throughput RNA sequencing technologies have confirmed that a large part of the non-coding genome is transcribed. The priority for further investigations is nevertheless generally given in cancer to coding sequences, due to the obvious interest of finding therapeutic targets. In addition, several [...] Read more.
Recent high-throughput RNA sequencing technologies have confirmed that a large part of the non-coding genome is transcribed. The priority for further investigations is nevertheless generally given in cancer to coding sequences, due to the obvious interest of finding therapeutic targets. In addition, several RNA-sequencing pipelines eliminate repetitive sequences, which are difficult to analyze. In this review, we shall focus on endogenous retroviruses. These sequences are remnants of ancestral germline infections by exogenous retroviruses. These sequences represent 8% of human genome, meaning four-fold the fraction of the genome encoding for proteins. These sequences are generally mostly repressed in normal adult tissues, but pathological conditions lead to their de-repression. Specific mesothelioma-associated endogenous retrovirus expression and their association to clinical outcome is discussed. Full article
(This article belongs to the Special Issue Predictive and Prognostic Factors in Mesothelioma)
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