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miRNAs Copy Number Variations Repertoire as Hallmark Indicator of Cancer Species Predisposition
Aging is one of the hallmarks of multiple human diseases, including cancer. We hypothesized that variations in the number of copies (CNVs) of specific genes may protect some long-living organisms theoretically more susceptible to tumorigenesis from the onset of cancer. Based on the statistical compa...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9223155/ https://www.ncbi.nlm.nih.gov/pubmed/35741808 http://dx.doi.org/10.3390/genes13061046 |
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author | Vischioni, Chiara Bove, Fabio De Chiara, Matteo Mandreoli, Federica Martoglia, Riccardo Pisi, Valentino Liti, Gianni Taccioli, Cristian |
author_facet | Vischioni, Chiara Bove, Fabio De Chiara, Matteo Mandreoli, Federica Martoglia, Riccardo Pisi, Valentino Liti, Gianni Taccioli, Cristian |
author_sort | Vischioni, Chiara |
collection | PubMed |
description | Aging is one of the hallmarks of multiple human diseases, including cancer. We hypothesized that variations in the number of copies (CNVs) of specific genes may protect some long-living organisms theoretically more susceptible to tumorigenesis from the onset of cancer. Based on the statistical comparison of gene copy numbers within the genomes of both cancer-prone and -resistant species, we identified novel gene targets linked to tumor predisposition, such as CD52, SAT1 and SUMO. Moreover, considering their genome-wide copy number landscape, we discovered that microRNAs (miRNAs) are among the most significant gene families enriched for cancer progression and predisposition. Through bioinformatics analyses, we identified several alterations in miRNAs copy number patterns, involving miR-221, miR-222, miR-21, miR-372, miR-30b, miR-30d and miR-31, among others. Therefore, our analyses provide the first evidence that an altered miRNAs copy number signature can statistically discriminate species more susceptible to cancer from those that are tumor resistant, paving the way for further investigations. |
format | Online Article Text |
id | pubmed-9223155 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92231552022-06-24 miRNAs Copy Number Variations Repertoire as Hallmark Indicator of Cancer Species Predisposition Vischioni, Chiara Bove, Fabio De Chiara, Matteo Mandreoli, Federica Martoglia, Riccardo Pisi, Valentino Liti, Gianni Taccioli, Cristian Genes (Basel) Article Aging is one of the hallmarks of multiple human diseases, including cancer. We hypothesized that variations in the number of copies (CNVs) of specific genes may protect some long-living organisms theoretically more susceptible to tumorigenesis from the onset of cancer. Based on the statistical comparison of gene copy numbers within the genomes of both cancer-prone and -resistant species, we identified novel gene targets linked to tumor predisposition, such as CD52, SAT1 and SUMO. Moreover, considering their genome-wide copy number landscape, we discovered that microRNAs (miRNAs) are among the most significant gene families enriched for cancer progression and predisposition. Through bioinformatics analyses, we identified several alterations in miRNAs copy number patterns, involving miR-221, miR-222, miR-21, miR-372, miR-30b, miR-30d and miR-31, among others. Therefore, our analyses provide the first evidence that an altered miRNAs copy number signature can statistically discriminate species more susceptible to cancer from those that are tumor resistant, paving the way for further investigations. MDPI 2022-06-10 /pmc/articles/PMC9223155/ /pubmed/35741808 http://dx.doi.org/10.3390/genes13061046 Text en © 2022 by the authors. 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 | Article Vischioni, Chiara Bove, Fabio De Chiara, Matteo Mandreoli, Federica Martoglia, Riccardo Pisi, Valentino Liti, Gianni Taccioli, Cristian miRNAs Copy Number Variations Repertoire as Hallmark Indicator of Cancer Species Predisposition |
title | miRNAs Copy Number Variations Repertoire as Hallmark Indicator of Cancer Species Predisposition |
title_full | miRNAs Copy Number Variations Repertoire as Hallmark Indicator of Cancer Species Predisposition |
title_fullStr | miRNAs Copy Number Variations Repertoire as Hallmark Indicator of Cancer Species Predisposition |
title_full_unstemmed | miRNAs Copy Number Variations Repertoire as Hallmark Indicator of Cancer Species Predisposition |
title_short | miRNAs Copy Number Variations Repertoire as Hallmark Indicator of Cancer Species Predisposition |
title_sort | mirnas copy number variations repertoire as hallmark indicator of cancer species predisposition |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9223155/ https://www.ncbi.nlm.nih.gov/pubmed/35741808 http://dx.doi.org/10.3390/genes13061046 |
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