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Short-term in vivo testing to discriminate genotoxic carcinogens from non-genotoxic carcinogens and non-carcinogens using next-generation RNA sequencing, DNA microarray, and qPCR. Genes Environ 2023; 45:7. [PMID: 36755350 PMCID: PMC9909887 DOI: 10.1186/s41021-023-00262-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 01/05/2023] [Indexed: 02/10/2023] Open
Abstract
Next-generation RNA sequencing (RNA-Seq) has identified more differentially expressed protein-coding genes (DEGs) and provided a wider quantitative range of expression level changes than conventional DNA microarrays. JEMS·MMS·Toxicogenomics group studied DEGs with targeted RNA-Seq on freshly frozen rat liver tissues and on formalin-fixed paraffin-embedded (FFPE) rat liver tissues after 28 days of treatment with chemicals and quantitative real-time PCR (qPCR) on rat and mouse liver tissues after 4 to 48 h treatment with chemicals and analyzed by principal component analysis (PCA) as statics. Analysis of rat public DNA microarray data (Open TG-GATEs) was also performed. In total, 35 chemicals were analyzed [15 genotoxic hepatocarcinogens (GTHCs), 9 non-genotoxic hepatocarcinogens (NGTHCs), and 11 non-genotoxic non-hepatocarcinogens (NGTNHCs)]. As a result, 12 marker genes (Aen, Bax, Btg2, Ccnf, Ccng1, Cdkn1a, Gdf15, Lrp1, Mbd1, Phlda3, Plk2, and Tubb4b) were proposed to discriminate GTHCs from NGTHCs and NGTNHCs. U.S. Environmental Protection Agency studied DEGs induced by 4 known GTHCs in rat liver using DNA microarray and proposed 7 biomarker genes, Bax, Bcmp1, Btg2, Ccng1, Cdkn1a, Cgr19, and Mgmt for GTHCs. Studies involving the use of whole-transcriptome RNA-Seq upon exposure to chemical carcinogens in vivo have also been performed in rodent liver, kidney, lung, colon, and other organs, although discrimination of GTHCs from NGTHCs was not examined. Candidate genes published using RNA-Seq, qPCR, and DNA microarray will be useful for the future development of short-term in vivo studies of environmental carcinogens using RNA-Seq.
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Prummel KD, Crowell HL, Nieuwenhuize S, Brombacher EC, Daetwyler S, Soneson C, Kresoja-Rakic J, Kocere A, Ronner M, Ernst A, Labbaf Z, Clouthier DE, Firulli AB, Sánchez-Iranzo H, Naganathan SR, O'Rourke R, Raz E, Mercader N, Burger A, Felley-Bosco E, Huisken J, Robinson MD, Mosimann C. Hand2 delineates mesothelium progenitors and is reactivated in mesothelioma. Nat Commun 2022; 13:1677. [PMID: 35354817 PMCID: PMC8967825 DOI: 10.1038/s41467-022-29311-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 03/04/2022] [Indexed: 01/27/2023] Open
Abstract
The mesothelium lines body cavities and surrounds internal organs, widely contributing to homeostasis and regeneration. Mesothelium disruptions cause visceral anomalies and mesothelioma tumors. Nonetheless, the embryonic emergence of mesothelia remains incompletely understood. Here, we track mesothelial origins in the lateral plate mesoderm (LPM) using zebrafish. Single-cell transcriptomics uncovers a post-gastrulation gene expression signature centered on hand2 in distinct LPM progenitor cells. We map mesothelial progenitors to lateral-most, hand2-expressing LPM and confirm conservation in mouse. Time-lapse imaging of zebrafish hand2 reporter embryos captures mesothelium formation including pericardium, visceral, and parietal peritoneum. We find primordial germ cells migrate with the forming mesothelium as ventral migration boundary. Functionally, hand2 loss disrupts mesothelium formation with reduced progenitor cells and perturbed migration. In mouse and human mesothelioma, we document expression of LPM-associated transcription factors including Hand2, suggesting re-initiation of a developmental program. Our data connects mesothelium development to Hand2, expanding our understanding of mesothelial pathologies.
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Affiliation(s)
- Karin D Prummel
- Department of Pediatrics, Section of Developmental Biology, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA
- Department of Molecular Life Sciences, University of Zurich, Zürich, Switzerland
- Structural and Computational Biology Unit, EMBL, Heidelberg, Germany
| | - Helena L Crowell
- Department of Molecular Life Sciences, University of Zurich, Zürich, Switzerland
- SIB Swiss Institute of Bioinformatics, University of Zurich, Zürich, Switzerland
| | - Susan Nieuwenhuize
- Department of Pediatrics, Section of Developmental Biology, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA
- Department of Molecular Life Sciences, University of Zurich, Zürich, Switzerland
| | - Eline C Brombacher
- Department of Molecular Life Sciences, University of Zurich, Zürich, Switzerland
- Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands
| | - Stephan Daetwyler
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
- Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX, United States
- Department of Cell Biology, UT Southwestern Medical Center, Dallas, TX, United States
| | - Charlotte Soneson
- Department of Molecular Life Sciences, University of Zurich, Zürich, Switzerland
- SIB Swiss Institute of Bioinformatics, University of Zurich, Zürich, Switzerland
| | - Jelena Kresoja-Rakic
- Department of Pediatrics, Section of Developmental Biology, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA
- Laboratory of Molecular Oncology, Department of Thoracic Surgery, University Hospital Zurich, Zürich, Switzerland
| | - Agnese Kocere
- Department of Pediatrics, Section of Developmental Biology, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA
- Department of Molecular Life Sciences, University of Zurich, Zürich, Switzerland
| | - Manuel Ronner
- Laboratory of Molecular Oncology, Department of Thoracic Surgery, University Hospital Zurich, Zürich, Switzerland
| | | | - Zahra Labbaf
- Institute for Cell Biology, ZMBE, Muenster, Germany
| | - David E Clouthier
- Department of Craniofacial Biology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Anthony B Firulli
- Herman B Wells Center for Pediatric Research, Departments of Pediatrics, Anatomy and Medical and Molecular Genetics, Indiana Medical School, Indianapolis, IN, USA
| | - Héctor Sánchez-Iranzo
- Centro Nacional de Investigaciones Cardiovasculares (CNIC-ISCIII), Madrid, Spain
- Institute of Biological and Chemical System - Biological Information Processing (IBCS-BIP), Karlsruhe Institute of Technology (KIT), Eggenstein-Leopoldshafen, Germany
| | - Sundar R Naganathan
- Institute of Bioengineering, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
| | - Rebecca O'Rourke
- Department of Pediatrics, Section of Developmental Biology, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA
| | - Erez Raz
- Institute for Cell Biology, ZMBE, Muenster, Germany
| | - Nadia Mercader
- Institute of Anatomy, University of Bern, Bern, Switzerland
- Centro Nacional de Investigaciones Cardiovasculares (CNIC-ISCIII), Madrid, Spain
| | - Alexa Burger
- Department of Pediatrics, Section of Developmental Biology, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA
| | - Emanuela Felley-Bosco
- Laboratory of Molecular Oncology, Department of Thoracic Surgery, University Hospital Zurich, Zürich, Switzerland
| | - Jan Huisken
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
- Morgridge Institute for Research, Madison, WI, USA
| | - Mark D Robinson
- Department of Molecular Life Sciences, University of Zurich, Zürich, Switzerland
- SIB Swiss Institute of Bioinformatics, University of Zurich, Zürich, Switzerland
| | - Christian Mosimann
- Department of Pediatrics, Section of Developmental Biology, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA.
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Duan W, Wang K, Duan Y, Chen X, Chu X, Hu P, Xiong B. Combined Analysis of RNA Sequence and Microarray Data Reveals a Competing Endogenous RNA Network as Novel Prognostic Markers in Malignant Pleural Mesothelioma. Front Oncol 2021; 11:615234. [PMID: 33968720 PMCID: PMC8104912 DOI: 10.3389/fonc.2021.615234] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 02/15/2021] [Indexed: 12/13/2022] Open
Abstract
Malignant pleural mesothelioma (MPM) is a highly aggressive cancer with short survival time. Unbalanced competing endogenous RNAs (ceRNAs) have been shown to participate in the tumor pathogenesis and served as biomarkers for the clinical prognosis. However, the comprehensive analyses of the ceRNA network in the prognosis of MPM are still rarely reported. In this study, we obtained the transcriptome data of the MPM and the normal samples from TCGA, EGA, and GEO databases and identified the differentially expressed (DE) mRNAs, lncRNAs, and miRNAs. The functions of the prognostic genes and the overlapped DEmRNAs were further annotated by the multiple enrichment analyses. Then, the targeting relationships among lncRNA–miRNA and miRNA–mRNA were predicted and calculated, and a prognostic ceRNA regulatory network was established. We included the prognostic 73 mRNAs and 13 miRNAs and 26 lncRNAs into the ceRNA network. Moreover, 33 mRNAs, three miRNAs, and seven lncRNAs were finally associated with prognosis, and a model including seven mRNAs, two lincRNAs, and some clinical factors was finally established and validated by two independent cohorts, where CDK6 and SGMS1-AS1 were significant to be independent prognostic factors. In addition, the identified co-expressed modules associated with the prognosis were overrepresented in the ceRNA network. Multiple enrichment analyses showed the important roles of the extracellular matrix components and cell division dysfunction in the invasion of MPM potentially. In summary, the prognostic ceRNA network of MPM was established and analyzed for the first time and these findings shed light on the function of ceRNAs and revealed the potential prognostic and therapeutic biomarkers of MPM.
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Affiliation(s)
- Weicheng Duan
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kang Wang
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yijie Duan
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiuyi Chen
- Key Laboratory of Environment and Health (HUST), Ministry of Education, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xufeng Chu
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ping Hu
- Key Laboratory of Environment and Health (HUST), Ministry of Education, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bo Xiong
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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4
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Blanquart C, Jaurand MC, Jean D. The Biology of Malignant Mesothelioma and the Relevance of Preclinical Models. Front Oncol 2020; 10:388. [PMID: 32269966 PMCID: PMC7109283 DOI: 10.3389/fonc.2020.00388] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Accepted: 03/04/2020] [Indexed: 12/19/2022] Open
Abstract
Malignant mesothelioma (MM), especially its more frequent form, malignant pleural mesothelioma (MPM), is a devastating thoracic cancer with limited therapeutic options. Recently, clinical trials that used immunotherapy strategies have yielded promising results, but the benefits are restricted to a limited number of patients. To develop new therapeutic strategies and define predictors of treatment response to existing therapy, better knowledge of the cellular and molecular mechanisms of MM tumors and sound preclinical models are needed. This review aims to provide an overview of our present knowledge and issues on both subjects. MM shows a complex pattern of molecular changes, including genetic, chromosomic, and epigenetic alterations. MM is also a heterogeneous cancer. The recently described molecular classifications for MPM could better consider inter-tumor heterogeneity, while histo-molecular gradients are an interesting way to consider both intra- and inter-tumor heterogeneities. Classical preclinical models are based on use of MM cell lines in culture or implanted in rodents, i.e., xenografts in immunosuppressed mice or isografts in syngeneic rodents to assess the anti-tumor immune response. Recent developments are tumoroids, patient-derived xenografts (PDX), xenografts in humanized mice, and genetically modified mice (GEM) that carry mutations identified in human MM tumor cells. Multicellular tumor spheroids are an interesting in vitro model to reduce animal experimentation; they are more accessible than tumoroids. They could be relevant, especially if they are co-cultured with stromal and immune cells to partially reproduce the human microenvironment. Even if preclinical models have allowed for major advances, they show several limitations: (i) the anatomical and biological tumor microenvironments are incompletely reproduced; (ii) the intra-tumor heterogeneity and immunological contexts are not fully reconstructed; and (iii) the inter-tumor heterogeneity is insufficiently considered. Given that these limitations vary according to the models, preclinical models must be carefully selected depending on the objectives of the experiments. New approaches, such as organ-on-a-chip technologies or in silico biological systems, should be explored in MM research. More pertinent cell models, based on our knowledge on mesothelial carcinogenesis and considering MM heterogeneity, need to be developed. These endeavors are mandatory to implement efficient precision medicine for MM.
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Affiliation(s)
- Christophe Blanquart
- Université de Nantes, CNRS, INSERM, CRCINA, Nantes, France.,Labex IGO, Immunology Graft Oncology, Nantes, France
| | - Marie-Claude Jaurand
- Centre de Recherche des Cordeliers, Inserm, Sorbonne Université, Université de Paris, Functional Genomics of Solid Tumors Laboratory, Paris, France
| | - Didier Jean
- Centre de Recherche des Cordeliers, Inserm, Sorbonne Université, Université de Paris, Functional Genomics of Solid Tumors Laboratory, Paris, France
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Felley-Bosco E. Special Issue on Mechanisms of Mesothelioma Heterogeneity: Highlights and Open Questions. Int J Mol Sci 2018; 19:ijms19113560. [PMID: 30424481 PMCID: PMC6274972 DOI: 10.3390/ijms19113560] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Revised: 11/04/2018] [Accepted: 11/11/2018] [Indexed: 01/07/2023] Open
Abstract
This editorial aims to synthesize the eleven papers that have contributed to this special issue, where the mechanisms of mesothelioma heterogeneity have been tackled from different angles.
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Affiliation(s)
- Emanuela Felley-Bosco
- Laboratory of Molecular Oncology, University Hospital Zurich, Sternwartstrasse 14, 8091 Zürich, Switzerland.
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Sage AP, Martinez VD, Minatel BC, Pewarchuk ME, Marshall EA, MacAulay GM, Hubaux R, Pearson DD, Goodarzi AA, Dellaire G, Lam WL. Genomics and Epigenetics of Malignant Mesothelioma. High Throughput 2018; 7:E20. [PMID: 30060501 PMCID: PMC6163664 DOI: 10.3390/ht7030020] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2018] [Revised: 07/19/2018] [Accepted: 07/25/2018] [Indexed: 12/11/2022] Open
Abstract
Malignant mesothelioma is an aggressive and lethal asbestos-related disease. Diagnosis of malignant mesothelioma is particularly challenging and is further complicated by the lack of disease subtype-specific markers. As a result, it is especially difficult to distinguish malignant mesothelioma from benign reactive mesothelial proliferations or reactive fibrosis. Additionally, mesothelioma diagnoses can be confounded by other anatomically related tumors that can invade the pleural or peritoneal cavities, collectively resulting in delayed diagnoses and greatly affecting patient management. High-throughput analyses have uncovered key genomic and epigenomic alterations driving malignant mesothelioma. These molecular features have the potential to better our understanding of malignant mesothelioma biology as well as to improve disease diagnosis and patient prognosis. Genomic approaches have been instrumental in identifying molecular events frequently occurring in mesothelioma. As such, we review the discoveries made using high-throughput technologies, including novel insights obtained from the analysis of the non-coding transcriptome, and the clinical potential of these genetic and epigenetic findings in mesothelioma. Furthermore, we aim to highlight the potential of these technologies in the future clinical applications of the novel molecular features in malignant mesothelioma.
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Affiliation(s)
- Adam P Sage
- Department of Integrative Oncology, British Columbia Cancer Research Centre, Vancouver, BC V5Z 1L3, Canada.
- Canadian Environmental Exposures in Cancer (CE2C) Network, Dalhousie University, P.O. BOX 15000, Halifax, NS B3H 4R2, Canada.
| | - Victor D Martinez
- Department of Integrative Oncology, British Columbia Cancer Research Centre, Vancouver, BC V5Z 1L3, Canada.
- Canadian Environmental Exposures in Cancer (CE2C) Network, Dalhousie University, P.O. BOX 15000, Halifax, NS B3H 4R2, Canada.
| | - Brenda C Minatel
- Department of Integrative Oncology, British Columbia Cancer Research Centre, Vancouver, BC V5Z 1L3, Canada.
- Canadian Environmental Exposures in Cancer (CE2C) Network, Dalhousie University, P.O. BOX 15000, Halifax, NS B3H 4R2, Canada.
| | - Michelle E Pewarchuk
- Department of Integrative Oncology, British Columbia Cancer Research Centre, Vancouver, BC V5Z 1L3, Canada.
| | - Erin A Marshall
- Department of Integrative Oncology, British Columbia Cancer Research Centre, Vancouver, BC V5Z 1L3, Canada.
- Canadian Environmental Exposures in Cancer (CE2C) Network, Dalhousie University, P.O. BOX 15000, Halifax, NS B3H 4R2, Canada.
| | - Gavin M MacAulay
- Department of Integrative Oncology, British Columbia Cancer Research Centre, Vancouver, BC V5Z 1L3, Canada.
| | - Roland Hubaux
- Department of Integrative Oncology, British Columbia Cancer Research Centre, Vancouver, BC V5Z 1L3, Canada.
| | - Dustin D Pearson
- Robson DNA Science Centre, Arnie Charbonneau Cancer Institute, Departments of Biochemistry & Molecular Biology and Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada.
| | - Aaron A Goodarzi
- Canadian Environmental Exposures in Cancer (CE2C) Network, Dalhousie University, P.O. BOX 15000, Halifax, NS B3H 4R2, Canada.
- Robson DNA Science Centre, Arnie Charbonneau Cancer Institute, Departments of Biochemistry & Molecular Biology and Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada.
| | - Graham Dellaire
- Canadian Environmental Exposures in Cancer (CE2C) Network, Dalhousie University, P.O. BOX 15000, Halifax, NS B3H 4R2, Canada.
- Departments of Pathology and Biochemistry & Molecular Biology, Dalhousie University, Halifax, NS B3H 4R2, Canada.
| | - Wan L Lam
- Department of Integrative Oncology, British Columbia Cancer Research Centre, Vancouver, BC V5Z 1L3, Canada.
- Canadian Environmental Exposures in Cancer (CE2C) Network, Dalhousie University, P.O. BOX 15000, Halifax, NS B3H 4R2, Canada.
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