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Targeted molecular profiling of genetic alterations in colorectal cancer using next-generation sequencing

Colorectal cancer (CRC) is a major contributor to cancer-associated mortality in China and remains a vast challenge worldwide. Although the genetic basis of CRC has been investigated, the uncommonly mutated genes in CRC remain unknown, in particular in the Asian population. In the present study, tar...

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Autores principales: Luo, Jia, Zhang, Shengjun, Tan, Meihua, Li, Jia, Xu, Huadong, Tan, Yanfei, Huang, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6955650/
https://www.ncbi.nlm.nih.gov/pubmed/31966042
http://dx.doi.org/10.3892/ol.2019.11203
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author Luo, Jia
Zhang, Shengjun
Tan, Meihua
Li, Jia
Xu, Huadong
Tan, Yanfei
Huang, Yue
author_facet Luo, Jia
Zhang, Shengjun
Tan, Meihua
Li, Jia
Xu, Huadong
Tan, Yanfei
Huang, Yue
author_sort Luo, Jia
collection PubMed
description Colorectal cancer (CRC) is a major contributor to cancer-associated mortality in China and remains a vast challenge worldwide. Although the genetic basis of CRC has been investigated, the uncommonly mutated genes in CRC remain unknown, in particular in the Asian population. In the present study, targeted region sequencing on 22 CRC and 10 paired non-cancerous tissues was performed to determine the genetic pattern of CRC samples in the Chinese population. Driver genes were detected by three distinct softwares, including MutSigCV, oncodriveFM and iCAGES. A total of 1,335 reliable somatic mutations were identified in tumour samples compared with normal samples. Furthermore, mismatch repair (MMR) mutant patients presented significantly higher mutation density compared with MMR wild-type patients. The results from MutSigCV, oncodriveFM and iCAGES analyses simultaneously detected 29 unique driver genes. In addition, the genes APC regulator of WNT signaling pathway, SMAD family member 4, neurofibromin 1, AT-rich interaction domain 5B and nuclear receptor corepressor 1 were the top five most frequently mutated genes in CRC samples, with mutation rates of 68, 36, 36, 32 and 27%, respectively. The findings from the present study may therefore serve as a basis for future investigation on the diagnosis and oncogenesis of CRC.
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spelling pubmed-69556502020-01-21 Targeted molecular profiling of genetic alterations in colorectal cancer using next-generation sequencing Luo, Jia Zhang, Shengjun Tan, Meihua Li, Jia Xu, Huadong Tan, Yanfei Huang, Yue Oncol Lett Articles Colorectal cancer (CRC) is a major contributor to cancer-associated mortality in China and remains a vast challenge worldwide. Although the genetic basis of CRC has been investigated, the uncommonly mutated genes in CRC remain unknown, in particular in the Asian population. In the present study, targeted region sequencing on 22 CRC and 10 paired non-cancerous tissues was performed to determine the genetic pattern of CRC samples in the Chinese population. Driver genes were detected by three distinct softwares, including MutSigCV, oncodriveFM and iCAGES. A total of 1,335 reliable somatic mutations were identified in tumour samples compared with normal samples. Furthermore, mismatch repair (MMR) mutant patients presented significantly higher mutation density compared with MMR wild-type patients. The results from MutSigCV, oncodriveFM and iCAGES analyses simultaneously detected 29 unique driver genes. In addition, the genes APC regulator of WNT signaling pathway, SMAD family member 4, neurofibromin 1, AT-rich interaction domain 5B and nuclear receptor corepressor 1 were the top five most frequently mutated genes in CRC samples, with mutation rates of 68, 36, 36, 32 and 27%, respectively. The findings from the present study may therefore serve as a basis for future investigation on the diagnosis and oncogenesis of CRC. D.A. Spandidos 2020-02 2019-12-10 /pmc/articles/PMC6955650/ /pubmed/31966042 http://dx.doi.org/10.3892/ol.2019.11203 Text en Copyright: © Luo et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Luo, Jia
Zhang, Shengjun
Tan, Meihua
Li, Jia
Xu, Huadong
Tan, Yanfei
Huang, Yue
Targeted molecular profiling of genetic alterations in colorectal cancer using next-generation sequencing
title Targeted molecular profiling of genetic alterations in colorectal cancer using next-generation sequencing
title_full Targeted molecular profiling of genetic alterations in colorectal cancer using next-generation sequencing
title_fullStr Targeted molecular profiling of genetic alterations in colorectal cancer using next-generation sequencing
title_full_unstemmed Targeted molecular profiling of genetic alterations in colorectal cancer using next-generation sequencing
title_short Targeted molecular profiling of genetic alterations in colorectal cancer using next-generation sequencing
title_sort targeted molecular profiling of genetic alterations in colorectal cancer using next-generation sequencing
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6955650/
https://www.ncbi.nlm.nih.gov/pubmed/31966042
http://dx.doi.org/10.3892/ol.2019.11203
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