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Mechanistic signatures of HPV insertions in cervical carcinomas
To identify new personal biomarkers for the improved diagnosis, prognosis and biological follow-up of human papillomavirus (HPV)-associated carcinomas, we developed a generic and comprehensive Capture-HPV method followed by Next Generation Sequencing (NGS). Starting from biopsies or circulating DNA...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5685317/ https://www.ncbi.nlm.nih.gov/pubmed/29263809 http://dx.doi.org/10.1038/npjgenmed.2016.4 |
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author | Holmes, Allyson Lameiras, Sonia Jeannot, Emmanuelle Marie, Yannick Castera, Laurent Sastre-Garau, Xavier Nicolas, Alain |
author_facet | Holmes, Allyson Lameiras, Sonia Jeannot, Emmanuelle Marie, Yannick Castera, Laurent Sastre-Garau, Xavier Nicolas, Alain |
author_sort | Holmes, Allyson |
collection | PubMed |
description | To identify new personal biomarkers for the improved diagnosis, prognosis and biological follow-up of human papillomavirus (HPV)-associated carcinomas, we developed a generic and comprehensive Capture-HPV method followed by Next Generation Sequencing (NGS). Starting from biopsies or circulating DNA samples, this Capture-NGS approach rapidly identifies the HPV genotype, HPV status (integrated, episomal or absence), the viral-host DNA junctions and the associated genome rearrangements. This analysis of 72 cervical carcinomas identified five HPV signatures. The first two signatures contain two hybrid chromosomal–HPV junctions whose orientations are co-linear (2J-COL) or non-linear (2J-NL), revealing two modes of viral integration associated with chromosomal deletion or amplification events, respectively. The third and fourth signatures exhibit 3–12 hybrid junctions, either clustered in one locus (MJ-CL) or scattered at distinct loci (MJ-SC) while the fifth signature consists of episomal HPV genomes (EPI). Cross analyses between the HPV signatures and the clinical and virological data reveal unexpected biased representation with respect to the HPV genotype, patient age and disease outcome, suggesting functional relevance(s) of this new classification. Overall, our findings establish a facile and comprehensive rational approach for the molecular detection of any HPV-associated carcinoma and definitive personalised sequence information to develop sensitive and specific biomarkers for each patient. |
format | Online Article Text |
id | pubmed-5685317 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-56853172017-12-20 Mechanistic signatures of HPV insertions in cervical carcinomas Holmes, Allyson Lameiras, Sonia Jeannot, Emmanuelle Marie, Yannick Castera, Laurent Sastre-Garau, Xavier Nicolas, Alain NPJ Genom Med Article To identify new personal biomarkers for the improved diagnosis, prognosis and biological follow-up of human papillomavirus (HPV)-associated carcinomas, we developed a generic and comprehensive Capture-HPV method followed by Next Generation Sequencing (NGS). Starting from biopsies or circulating DNA samples, this Capture-NGS approach rapidly identifies the HPV genotype, HPV status (integrated, episomal or absence), the viral-host DNA junctions and the associated genome rearrangements. This analysis of 72 cervical carcinomas identified five HPV signatures. The first two signatures contain two hybrid chromosomal–HPV junctions whose orientations are co-linear (2J-COL) or non-linear (2J-NL), revealing two modes of viral integration associated with chromosomal deletion or amplification events, respectively. The third and fourth signatures exhibit 3–12 hybrid junctions, either clustered in one locus (MJ-CL) or scattered at distinct loci (MJ-SC) while the fifth signature consists of episomal HPV genomes (EPI). Cross analyses between the HPV signatures and the clinical and virological data reveal unexpected biased representation with respect to the HPV genotype, patient age and disease outcome, suggesting functional relevance(s) of this new classification. Overall, our findings establish a facile and comprehensive rational approach for the molecular detection of any HPV-associated carcinoma and definitive personalised sequence information to develop sensitive and specific biomarkers for each patient. Nature Publishing Group 2016-03-16 /pmc/articles/PMC5685317/ /pubmed/29263809 http://dx.doi.org/10.1038/npjgenmed.2016.4 Text en Copyright © 2016 Center of Excellence in Genomic Medicine Research/Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Holmes, Allyson Lameiras, Sonia Jeannot, Emmanuelle Marie, Yannick Castera, Laurent Sastre-Garau, Xavier Nicolas, Alain Mechanistic signatures of HPV insertions in cervical carcinomas |
title | Mechanistic signatures of HPV insertions in cervical carcinomas |
title_full | Mechanistic signatures of HPV insertions in cervical carcinomas |
title_fullStr | Mechanistic signatures of HPV insertions in cervical carcinomas |
title_full_unstemmed | Mechanistic signatures of HPV insertions in cervical carcinomas |
title_short | Mechanistic signatures of HPV insertions in cervical carcinomas |
title_sort | mechanistic signatures of hpv insertions in cervical carcinomas |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5685317/ https://www.ncbi.nlm.nih.gov/pubmed/29263809 http://dx.doi.org/10.1038/npjgenmed.2016.4 |
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