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Intratumor genetic heterogeneity and clonal evolution to decode endometrial cancer progression
Analyzing different tumor regions by next generation sequencing allows the assessment of intratumor genetic heterogeneity (ITGH), a phenomenon that has been studied widely in some tumor types but has been less well explored in endometrial carcinoma (EC). In this study, we sought to characterize the...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8956509/ https://www.ncbi.nlm.nih.gov/pubmed/35145232 http://dx.doi.org/10.1038/s41388-022-02221-0 |
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author | Mota, Alba Oltra, Sara S. Selenica, Pier Moiola, Cristian P. Casas-Arozamena, Carlos López-Gil, Carlos Diaz, Eva Gatius, Sonia Ruiz-Miro, María Calvo, Ana Rojo-Sebastián, Alejandro Hurtado, Pablo Piñeiro, Roberto Colas, Eva Gil-Moreno, Antonio Reis-Filho, Jorge S. Muinelo-Romay, Laura Abal, Miguel Matias-Guiu, Xavier Weigelt, Britta Moreno-Bueno, Gema |
author_facet | Mota, Alba Oltra, Sara S. Selenica, Pier Moiola, Cristian P. Casas-Arozamena, Carlos López-Gil, Carlos Diaz, Eva Gatius, Sonia Ruiz-Miro, María Calvo, Ana Rojo-Sebastián, Alejandro Hurtado, Pablo Piñeiro, Roberto Colas, Eva Gil-Moreno, Antonio Reis-Filho, Jorge S. Muinelo-Romay, Laura Abal, Miguel Matias-Guiu, Xavier Weigelt, Britta Moreno-Bueno, Gema |
author_sort | Mota, Alba |
collection | PubMed |
description | Analyzing different tumor regions by next generation sequencing allows the assessment of intratumor genetic heterogeneity (ITGH), a phenomenon that has been studied widely in some tumor types but has been less well explored in endometrial carcinoma (EC). In this study, we sought to characterize the spatial and temporal heterogeneity of 9 different ECs using whole-exome sequencing, and by performing targeted sequencing validation of the 42 primary tumor regions and 30 metastatic samples analyzed. In addition, copy number alterations of serous carcinomas were assessed by comparative genomic hybridization arrays. From the somatic mutations, identified by whole-exome sequencing, 532 were validated by targeted sequencing. Based on these data, the phylogenetic tree reconstructed for each case allowed us to establish the tumors’ evolution and correlate this to tumor progression, prognosis, and the presence of recurrent disease. Moreover, we studied the genetic landscape of an ambiguous EC and the molecular profile obtained was used to guide the selection of a potential personalized therapy for this patient, which was subsequently validated by preclinical testing in patient-derived xenograft models. Overall, our study reveals the impact of analyzing different tumor regions to decipher the ITGH in ECs, which could help make the best treatment decision. |
format | Online Article Text |
id | pubmed-8956509 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89565092022-04-07 Intratumor genetic heterogeneity and clonal evolution to decode endometrial cancer progression Mota, Alba Oltra, Sara S. Selenica, Pier Moiola, Cristian P. Casas-Arozamena, Carlos López-Gil, Carlos Diaz, Eva Gatius, Sonia Ruiz-Miro, María Calvo, Ana Rojo-Sebastián, Alejandro Hurtado, Pablo Piñeiro, Roberto Colas, Eva Gil-Moreno, Antonio Reis-Filho, Jorge S. Muinelo-Romay, Laura Abal, Miguel Matias-Guiu, Xavier Weigelt, Britta Moreno-Bueno, Gema Oncogene Article Analyzing different tumor regions by next generation sequencing allows the assessment of intratumor genetic heterogeneity (ITGH), a phenomenon that has been studied widely in some tumor types but has been less well explored in endometrial carcinoma (EC). In this study, we sought to characterize the spatial and temporal heterogeneity of 9 different ECs using whole-exome sequencing, and by performing targeted sequencing validation of the 42 primary tumor regions and 30 metastatic samples analyzed. In addition, copy number alterations of serous carcinomas were assessed by comparative genomic hybridization arrays. From the somatic mutations, identified by whole-exome sequencing, 532 were validated by targeted sequencing. Based on these data, the phylogenetic tree reconstructed for each case allowed us to establish the tumors’ evolution and correlate this to tumor progression, prognosis, and the presence of recurrent disease. Moreover, we studied the genetic landscape of an ambiguous EC and the molecular profile obtained was used to guide the selection of a potential personalized therapy for this patient, which was subsequently validated by preclinical testing in patient-derived xenograft models. Overall, our study reveals the impact of analyzing different tumor regions to decipher the ITGH in ECs, which could help make the best treatment decision. Nature Publishing Group UK 2022-02-10 2022 /pmc/articles/PMC8956509/ /pubmed/35145232 http://dx.doi.org/10.1038/s41388-022-02221-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Mota, Alba Oltra, Sara S. Selenica, Pier Moiola, Cristian P. Casas-Arozamena, Carlos López-Gil, Carlos Diaz, Eva Gatius, Sonia Ruiz-Miro, María Calvo, Ana Rojo-Sebastián, Alejandro Hurtado, Pablo Piñeiro, Roberto Colas, Eva Gil-Moreno, Antonio Reis-Filho, Jorge S. Muinelo-Romay, Laura Abal, Miguel Matias-Guiu, Xavier Weigelt, Britta Moreno-Bueno, Gema Intratumor genetic heterogeneity and clonal evolution to decode endometrial cancer progression |
title | Intratumor genetic heterogeneity and clonal evolution to decode endometrial cancer progression |
title_full | Intratumor genetic heterogeneity and clonal evolution to decode endometrial cancer progression |
title_fullStr | Intratumor genetic heterogeneity and clonal evolution to decode endometrial cancer progression |
title_full_unstemmed | Intratumor genetic heterogeneity and clonal evolution to decode endometrial cancer progression |
title_short | Intratumor genetic heterogeneity and clonal evolution to decode endometrial cancer progression |
title_sort | intratumor genetic heterogeneity and clonal evolution to decode endometrial cancer progression |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8956509/ https://www.ncbi.nlm.nih.gov/pubmed/35145232 http://dx.doi.org/10.1038/s41388-022-02221-0 |
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