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Mutation profiling of cancer drivers in Brazilian colorectal cancer

The molecular basis of colorectal cancer (CRC) can guide patient prognosis and therapy. In Brazil, knowledge on the CRC mutation landscape is limited. Here, we investigated the mutation profile of 150 cancer-related genes by next-generation sequencing and associated with microsatellite instability (...

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Autores principales: dos Santos, Wellington, Sobanski, Thais, de Carvalho, Ana Carolina, Evangelista, Adriane Feijó, Matsushita, Marcus, Berardinelli, Gustavo Nóriz, de Oliveira, Marco Antonio, Reis, Rui Manuel, Guimarães, Denise Peixoto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6757044/
https://www.ncbi.nlm.nih.gov/pubmed/31548566
http://dx.doi.org/10.1038/s41598-019-49611-1
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author dos Santos, Wellington
Sobanski, Thais
de Carvalho, Ana Carolina
Evangelista, Adriane Feijó
Matsushita, Marcus
Berardinelli, Gustavo Nóriz
de Oliveira, Marco Antonio
Reis, Rui Manuel
Guimarães, Denise Peixoto
author_facet dos Santos, Wellington
Sobanski, Thais
de Carvalho, Ana Carolina
Evangelista, Adriane Feijó
Matsushita, Marcus
Berardinelli, Gustavo Nóriz
de Oliveira, Marco Antonio
Reis, Rui Manuel
Guimarães, Denise Peixoto
author_sort dos Santos, Wellington
collection PubMed
description The molecular basis of colorectal cancer (CRC) can guide patient prognosis and therapy. In Brazil, knowledge on the CRC mutation landscape is limited. Here, we investigated the mutation profile of 150 cancer-related genes by next-generation sequencing and associated with microsatellite instability (MSI) and genetic ancestry in a series of 91 Brazilian CRC patients. Driver mutations were found in the APC (71.4%), TP53 (56.0%), KRAS (52.7%), PIK3CA (15.4%) and FBXW7 (10.9%) genes. Overall, genes in the MAPK/ERK, PIK3/AKT, NOTCH and receptor tyrosine kinase signaling pathways were mutated in 68.0%, 23.1%, 16.5%, and 15.3% of patients, respectively. MSI was found in 13.3% of tumors, most of which were proximal (52.4%, P< 0.001) and had a high mutation burden. European genetic ancestry was predominant (median of 83.1%), followed by Native American (4.1%), Asian (3.4%) and African (3.2%). NF1 and BRAF mutations were associated with African ancestry, while TP53 and PIK3CA mutations were inversely correlated with Native American ancestry. Our study suggests that Brazilian CRC patients exhibit a mutation profile similar to other populations and identify the most frequently mutated genes, which could be useful in future target therapies and molecular cancer screening strategies.
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spelling pubmed-67570442019-10-02 Mutation profiling of cancer drivers in Brazilian colorectal cancer dos Santos, Wellington Sobanski, Thais de Carvalho, Ana Carolina Evangelista, Adriane Feijó Matsushita, Marcus Berardinelli, Gustavo Nóriz de Oliveira, Marco Antonio Reis, Rui Manuel Guimarães, Denise Peixoto Sci Rep Article The molecular basis of colorectal cancer (CRC) can guide patient prognosis and therapy. In Brazil, knowledge on the CRC mutation landscape is limited. Here, we investigated the mutation profile of 150 cancer-related genes by next-generation sequencing and associated with microsatellite instability (MSI) and genetic ancestry in a series of 91 Brazilian CRC patients. Driver mutations were found in the APC (71.4%), TP53 (56.0%), KRAS (52.7%), PIK3CA (15.4%) and FBXW7 (10.9%) genes. Overall, genes in the MAPK/ERK, PIK3/AKT, NOTCH and receptor tyrosine kinase signaling pathways were mutated in 68.0%, 23.1%, 16.5%, and 15.3% of patients, respectively. MSI was found in 13.3% of tumors, most of which were proximal (52.4%, P< 0.001) and had a high mutation burden. European genetic ancestry was predominant (median of 83.1%), followed by Native American (4.1%), Asian (3.4%) and African (3.2%). NF1 and BRAF mutations were associated with African ancestry, while TP53 and PIK3CA mutations were inversely correlated with Native American ancestry. Our study suggests that Brazilian CRC patients exhibit a mutation profile similar to other populations and identify the most frequently mutated genes, which could be useful in future target therapies and molecular cancer screening strategies. Nature Publishing Group UK 2019-09-23 /pmc/articles/PMC6757044/ /pubmed/31548566 http://dx.doi.org/10.1038/s41598-019-49611-1 Text en © The Author(s) 2019 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/.
spellingShingle Article
dos Santos, Wellington
Sobanski, Thais
de Carvalho, Ana Carolina
Evangelista, Adriane Feijó
Matsushita, Marcus
Berardinelli, Gustavo Nóriz
de Oliveira, Marco Antonio
Reis, Rui Manuel
Guimarães, Denise Peixoto
Mutation profiling of cancer drivers in Brazilian colorectal cancer
title Mutation profiling of cancer drivers in Brazilian colorectal cancer
title_full Mutation profiling of cancer drivers in Brazilian colorectal cancer
title_fullStr Mutation profiling of cancer drivers in Brazilian colorectal cancer
title_full_unstemmed Mutation profiling of cancer drivers in Brazilian colorectal cancer
title_short Mutation profiling of cancer drivers in Brazilian colorectal cancer
title_sort mutation profiling of cancer drivers in brazilian colorectal cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6757044/
https://www.ncbi.nlm.nih.gov/pubmed/31548566
http://dx.doi.org/10.1038/s41598-019-49611-1
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