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Ovarian cancer risk assessment in the era of next-generation sequencing
Ovarian cancer is one of the cancers most influenced by hereditary factors. Testing for hereditary susceptibility genes is recommended for every woman with epithelial ovarian cancer (EOC). Pathogenic germline variants in BRCA1 and BRCA2 genes are responsible for a substantial fraction of hereditary...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7812181/ https://www.ncbi.nlm.nih.gov/pubmed/33490216 http://dx.doi.org/10.21037/atm-20-1582 |
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author | Bonadio, Renata Colombo Crespo, Jéssica Rojas Estevez-Diz, Maria Del Pilar |
author_facet | Bonadio, Renata Colombo Crespo, Jéssica Rojas Estevez-Diz, Maria Del Pilar |
author_sort | Bonadio, Renata Colombo |
collection | PubMed |
description | Ovarian cancer is one of the cancers most influenced by hereditary factors. Testing for hereditary susceptibility genes is recommended for every woman with epithelial ovarian cancer (EOC). Pathogenic germline variants in BRCA1 and BRCA2 genes are responsible for a substantial fraction of hereditary ovarian cancer. However, alterations in other genes, such as BRIP1, RAD51C, RAD51D, and mismatch repair genes, also enhance ovarian cancer risk. Other genes may also participate in ovarian carcinogenesis, but their role as ovarian cancer susceptibility genes still needs to be clarified. With several genes involved, the complexity of genetic testing increases. In this context, next-generation sequencing (NGS) allows testing for multiple genes simultaneously, with rapid turn-around time. However, the incorporation of this technology into clinical practice faces some challenges. In this review, we will discuss the ovarian cancer risk assessment in the era of NGS. |
format | Online Article Text |
id | pubmed-7812181 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-78121812021-01-22 Ovarian cancer risk assessment in the era of next-generation sequencing Bonadio, Renata Colombo Crespo, Jéssica Rojas Estevez-Diz, Maria Del Pilar Ann Transl Med Review Article on Ovarian Cancer: State of the Art and Perspectives of Clinical Research Ovarian cancer is one of the cancers most influenced by hereditary factors. Testing for hereditary susceptibility genes is recommended for every woman with epithelial ovarian cancer (EOC). Pathogenic germline variants in BRCA1 and BRCA2 genes are responsible for a substantial fraction of hereditary ovarian cancer. However, alterations in other genes, such as BRIP1, RAD51C, RAD51D, and mismatch repair genes, also enhance ovarian cancer risk. Other genes may also participate in ovarian carcinogenesis, but their role as ovarian cancer susceptibility genes still needs to be clarified. With several genes involved, the complexity of genetic testing increases. In this context, next-generation sequencing (NGS) allows testing for multiple genes simultaneously, with rapid turn-around time. However, the incorporation of this technology into clinical practice faces some challenges. In this review, we will discuss the ovarian cancer risk assessment in the era of NGS. AME Publishing Company 2020-12 /pmc/articles/PMC7812181/ /pubmed/33490216 http://dx.doi.org/10.21037/atm-20-1582 Text en 2020 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Review Article on Ovarian Cancer: State of the Art and Perspectives of Clinical Research Bonadio, Renata Colombo Crespo, Jéssica Rojas Estevez-Diz, Maria Del Pilar Ovarian cancer risk assessment in the era of next-generation sequencing |
title | Ovarian cancer risk assessment in the era of next-generation sequencing |
title_full | Ovarian cancer risk assessment in the era of next-generation sequencing |
title_fullStr | Ovarian cancer risk assessment in the era of next-generation sequencing |
title_full_unstemmed | Ovarian cancer risk assessment in the era of next-generation sequencing |
title_short | Ovarian cancer risk assessment in the era of next-generation sequencing |
title_sort | ovarian cancer risk assessment in the era of next-generation sequencing |
topic | Review Article on Ovarian Cancer: State of the Art and Perspectives of Clinical Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7812181/ https://www.ncbi.nlm.nih.gov/pubmed/33490216 http://dx.doi.org/10.21037/atm-20-1582 |
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