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Comprehensive profiling of 1015 patients’ exomes reveals genomic-clinical associations in colorectal cancer
The genetic basis of colorectal cancer (CRC) and its clinical associations remain poorly understood due to limited samples or targeted genes in current studies. Here, we perform ultradeep whole-exome sequencing on 1015 patients with CRC as part of the ChangKang Project. We identify 46 high-confident...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9055073/ https://www.ncbi.nlm.nih.gov/pubmed/35487942 http://dx.doi.org/10.1038/s41467-022-30062-8 |
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author | Zhao, Qi Wang, Feng Chen, Yan-Xing Chen, Shifu Yao, Yi-Chen Zeng, Zhao-Lei Jiang, Teng-Jia Wang, Ying-Nan Wu, Chen-Yi Jing, Ying Huang, You-Sheng Zhang, Jing Wang, Zi-Xian He, Ming-Ming Pu, Heng-Ying Mai, Zong-Jiong Wu, Qi-Nian Long, Renwen Zhang, Xiaoni Huang, Tanxiao Xu, Mingyan Qiu, Miao-Zheng Luo, Hui-Yan Li, Yu-Hong Zhang, Dong-Shen Jia, Wei-Hua Chen, Gong Ding, Pei-Rong Li, Li-Ren Lu, Zheng-Hai Pan, Zhi-Zhong Xu, Rui-Hua |
author_facet | Zhao, Qi Wang, Feng Chen, Yan-Xing Chen, Shifu Yao, Yi-Chen Zeng, Zhao-Lei Jiang, Teng-Jia Wang, Ying-Nan Wu, Chen-Yi Jing, Ying Huang, You-Sheng Zhang, Jing Wang, Zi-Xian He, Ming-Ming Pu, Heng-Ying Mai, Zong-Jiong Wu, Qi-Nian Long, Renwen Zhang, Xiaoni Huang, Tanxiao Xu, Mingyan Qiu, Miao-Zheng Luo, Hui-Yan Li, Yu-Hong Zhang, Dong-Shen Jia, Wei-Hua Chen, Gong Ding, Pei-Rong Li, Li-Ren Lu, Zheng-Hai Pan, Zhi-Zhong Xu, Rui-Hua |
author_sort | Zhao, Qi |
collection | PubMed |
description | The genetic basis of colorectal cancer (CRC) and its clinical associations remain poorly understood due to limited samples or targeted genes in current studies. Here, we perform ultradeep whole-exome sequencing on 1015 patients with CRC as part of the ChangKang Project. We identify 46 high-confident significantly mutated genes, 8 of which mutate in 14.9% of patients: LYST, DAPK1, CR2, KIF16B, NPIPB15, SYTL2, ZNF91, and KIAA0586. With an unsupervised clustering algorithm, we propose a subtyping strategy that classisfies CRC patients into four genomic subtypes with distinct clinical characteristics, including hypermutated, chromosome instability with high risk, chromosome instability with low risk, and genome stability. Analysis of immunogenicity uncover the association of immunogenicity reduction with genomic subtypes and poor prognosis in CRC. Moreover, we find that mitochondrial DNA copy number is an independent factor for predicting the survival outcome of CRCs. Overall, our results provide CRC-related molecular features for clinical practice and a valuable resource for translational research. |
format | Online Article Text |
id | pubmed-9055073 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90550732022-05-01 Comprehensive profiling of 1015 patients’ exomes reveals genomic-clinical associations in colorectal cancer Zhao, Qi Wang, Feng Chen, Yan-Xing Chen, Shifu Yao, Yi-Chen Zeng, Zhao-Lei Jiang, Teng-Jia Wang, Ying-Nan Wu, Chen-Yi Jing, Ying Huang, You-Sheng Zhang, Jing Wang, Zi-Xian He, Ming-Ming Pu, Heng-Ying Mai, Zong-Jiong Wu, Qi-Nian Long, Renwen Zhang, Xiaoni Huang, Tanxiao Xu, Mingyan Qiu, Miao-Zheng Luo, Hui-Yan Li, Yu-Hong Zhang, Dong-Shen Jia, Wei-Hua Chen, Gong Ding, Pei-Rong Li, Li-Ren Lu, Zheng-Hai Pan, Zhi-Zhong Xu, Rui-Hua Nat Commun Article The genetic basis of colorectal cancer (CRC) and its clinical associations remain poorly understood due to limited samples or targeted genes in current studies. Here, we perform ultradeep whole-exome sequencing on 1015 patients with CRC as part of the ChangKang Project. We identify 46 high-confident significantly mutated genes, 8 of which mutate in 14.9% of patients: LYST, DAPK1, CR2, KIF16B, NPIPB15, SYTL2, ZNF91, and KIAA0586. With an unsupervised clustering algorithm, we propose a subtyping strategy that classisfies CRC patients into four genomic subtypes with distinct clinical characteristics, including hypermutated, chromosome instability with high risk, chromosome instability with low risk, and genome stability. Analysis of immunogenicity uncover the association of immunogenicity reduction with genomic subtypes and poor prognosis in CRC. Moreover, we find that mitochondrial DNA copy number is an independent factor for predicting the survival outcome of CRCs. Overall, our results provide CRC-related molecular features for clinical practice and a valuable resource for translational research. Nature Publishing Group UK 2022-04-29 /pmc/articles/PMC9055073/ /pubmed/35487942 http://dx.doi.org/10.1038/s41467-022-30062-8 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 Zhao, Qi Wang, Feng Chen, Yan-Xing Chen, Shifu Yao, Yi-Chen Zeng, Zhao-Lei Jiang, Teng-Jia Wang, Ying-Nan Wu, Chen-Yi Jing, Ying Huang, You-Sheng Zhang, Jing Wang, Zi-Xian He, Ming-Ming Pu, Heng-Ying Mai, Zong-Jiong Wu, Qi-Nian Long, Renwen Zhang, Xiaoni Huang, Tanxiao Xu, Mingyan Qiu, Miao-Zheng Luo, Hui-Yan Li, Yu-Hong Zhang, Dong-Shen Jia, Wei-Hua Chen, Gong Ding, Pei-Rong Li, Li-Ren Lu, Zheng-Hai Pan, Zhi-Zhong Xu, Rui-Hua Comprehensive profiling of 1015 patients’ exomes reveals genomic-clinical associations in colorectal cancer |
title | Comprehensive profiling of 1015 patients’ exomes reveals genomic-clinical associations in colorectal cancer |
title_full | Comprehensive profiling of 1015 patients’ exomes reveals genomic-clinical associations in colorectal cancer |
title_fullStr | Comprehensive profiling of 1015 patients’ exomes reveals genomic-clinical associations in colorectal cancer |
title_full_unstemmed | Comprehensive profiling of 1015 patients’ exomes reveals genomic-clinical associations in colorectal cancer |
title_short | Comprehensive profiling of 1015 patients’ exomes reveals genomic-clinical associations in colorectal cancer |
title_sort | comprehensive profiling of 1015 patients’ exomes reveals genomic-clinical associations in colorectal cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9055073/ https://www.ncbi.nlm.nih.gov/pubmed/35487942 http://dx.doi.org/10.1038/s41467-022-30062-8 |
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