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Exploring the Expression of the «Dark Matter» of the Genome in Mesothelioma for Potentially Predictive Biomarkers for Prognosis and Immunotherapy

SIMPLE SUMMARY: Endogenous retroviruses (ERVs) are integrated retroviral elements that cover 8% of the human genome, representing thereby four-fold the fraction of the genome encoding for protein-coding genes. Overall, their expression represents up to 0.5% of all non-rRNA transcripts in mesotheliom...

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Autor principal: Felley-Bosco, Emanuela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10251940/
https://www.ncbi.nlm.nih.gov/pubmed/37296931
http://dx.doi.org/10.3390/cancers15112969
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author Felley-Bosco, Emanuela
author_facet Felley-Bosco, Emanuela
author_sort Felley-Bosco, Emanuela
collection PubMed
description SIMPLE SUMMARY: Endogenous retroviruses (ERVs) are integrated retroviral elements that cover 8% of the human genome, representing thereby four-fold the fraction of the genome encoding for protein-coding genes. Overall, their expression represents up to 0.5% of all non-rRNA transcripts in mesothelioma, and some are specifically re-activated. This part of the genome has been considered until recently “junk DNA” or “DNA dark matter”. However, analysis of ERV expression has recently gained attention in several cancers, especially in the context of immunotherapy. In this review, our aim is to raise the curiosity of non-specialists by illustrating the potential of exploring the expression of “DNA dark matter” for prognosis and immunotherapy, potentially as predictive biomarkers in mesothelioma. 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 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.
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spelling pubmed-102519402023-06-10 Exploring the Expression of the «Dark Matter» of the Genome in Mesothelioma for Potentially Predictive Biomarkers for Prognosis and Immunotherapy Felley-Bosco, Emanuela Cancers (Basel) Review SIMPLE SUMMARY: Endogenous retroviruses (ERVs) are integrated retroviral elements that cover 8% of the human genome, representing thereby four-fold the fraction of the genome encoding for protein-coding genes. Overall, their expression represents up to 0.5% of all non-rRNA transcripts in mesothelioma, and some are specifically re-activated. This part of the genome has been considered until recently “junk DNA” or “DNA dark matter”. However, analysis of ERV expression has recently gained attention in several cancers, especially in the context of immunotherapy. In this review, our aim is to raise the curiosity of non-specialists by illustrating the potential of exploring the expression of “DNA dark matter” for prognosis and immunotherapy, potentially as predictive biomarkers in mesothelioma. 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 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. MDPI 2023-05-29 /pmc/articles/PMC10251940/ /pubmed/37296931 http://dx.doi.org/10.3390/cancers15112969 Text en © 2023 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Felley-Bosco, Emanuela
Exploring the Expression of the «Dark Matter» of the Genome in Mesothelioma for Potentially Predictive Biomarkers for Prognosis and Immunotherapy
title Exploring the Expression of the «Dark Matter» of the Genome in Mesothelioma for Potentially Predictive Biomarkers for Prognosis and Immunotherapy
title_full Exploring the Expression of the «Dark Matter» of the Genome in Mesothelioma for Potentially Predictive Biomarkers for Prognosis and Immunotherapy
title_fullStr Exploring the Expression of the «Dark Matter» of the Genome in Mesothelioma for Potentially Predictive Biomarkers for Prognosis and Immunotherapy
title_full_unstemmed Exploring the Expression of the «Dark Matter» of the Genome in Mesothelioma for Potentially Predictive Biomarkers for Prognosis and Immunotherapy
title_short Exploring the Expression of the «Dark Matter» of the Genome in Mesothelioma for Potentially Predictive Biomarkers for Prognosis and Immunotherapy
title_sort exploring the expression of the «dark matter» of the genome in mesothelioma for potentially predictive biomarkers for prognosis and immunotherapy
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10251940/
https://www.ncbi.nlm.nih.gov/pubmed/37296931
http://dx.doi.org/10.3390/cancers15112969
work_keys_str_mv AT felleyboscoemanuela exploringtheexpressionofthedarkmatterofthegenomeinmesotheliomaforpotentiallypredictivebiomarkersforprognosisandimmunotherapy