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Integrated multi-omics approach to distinct molecular characterization and classification of early-onset colorectal cancer
Incidence of early-onset colorectal cancer (EOCRC), defined by a diagnosed age under 50 years, is increasing, but its heterogeneous etiologies that differ from general CRC remain undetermined. We initially characterize the genome, epigenome, transcriptome, and proteome of tumors from 79 patients in...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10040411/ https://www.ncbi.nlm.nih.gov/pubmed/36921601 http://dx.doi.org/10.1016/j.xcrm.2023.100974 |
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author | Du, Mulong Gu, Dongying Xin, Junyi Peters, Ulrike Song, Mingyang Cai, Guoshuai Li, Shuwei Ben, Shuai Meng, Yixuan Chu, Haiyan Chen, Lianmin Wang, Qianghu Zhu, Lingjun Fu, Zan Zhang, Zhengdong Wang, Meilin |
author_facet | Du, Mulong Gu, Dongying Xin, Junyi Peters, Ulrike Song, Mingyang Cai, Guoshuai Li, Shuwei Ben, Shuai Meng, Yixuan Chu, Haiyan Chen, Lianmin Wang, Qianghu Zhu, Lingjun Fu, Zan Zhang, Zhengdong Wang, Meilin |
author_sort | Du, Mulong |
collection | PubMed |
description | Incidence of early-onset colorectal cancer (EOCRC), defined by a diagnosed age under 50 years, is increasing, but its heterogeneous etiologies that differ from general CRC remain undetermined. We initially characterize the genome, epigenome, transcriptome, and proteome of tumors from 79 patients in a Chinese CRC cohort. Data for an additional 126 EOCRC subjects are obtained from the International Cancer Genome Consortium Chinese cohort and The Cancer Genome Atlas European cohort. We observe that early-onset tumors have a high tumor mutation burden; increased DNA repair features by mutational signature 3 and multi-layer pathway enrichments; strong perturbations at effects of DNA methylation and somatic copy-number alteration on gene expression; and upregulated immune infiltration as hot tumors underlying immunophenotypes. Notably, LMTK3 exhibits ancestral mutation disparity, potentially being a functional modulator and biomarker that drives molecular alterations in EOCRC development and immunotherapies. This integrative omics study provides valuable knowledge for precision oncology of CRC. |
format | Online Article Text |
id | pubmed-10040411 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-100404112023-03-28 Integrated multi-omics approach to distinct molecular characterization and classification of early-onset colorectal cancer Du, Mulong Gu, Dongying Xin, Junyi Peters, Ulrike Song, Mingyang Cai, Guoshuai Li, Shuwei Ben, Shuai Meng, Yixuan Chu, Haiyan Chen, Lianmin Wang, Qianghu Zhu, Lingjun Fu, Zan Zhang, Zhengdong Wang, Meilin Cell Rep Med Article Incidence of early-onset colorectal cancer (EOCRC), defined by a diagnosed age under 50 years, is increasing, but its heterogeneous etiologies that differ from general CRC remain undetermined. We initially characterize the genome, epigenome, transcriptome, and proteome of tumors from 79 patients in a Chinese CRC cohort. Data for an additional 126 EOCRC subjects are obtained from the International Cancer Genome Consortium Chinese cohort and The Cancer Genome Atlas European cohort. We observe that early-onset tumors have a high tumor mutation burden; increased DNA repair features by mutational signature 3 and multi-layer pathway enrichments; strong perturbations at effects of DNA methylation and somatic copy-number alteration on gene expression; and upregulated immune infiltration as hot tumors underlying immunophenotypes. Notably, LMTK3 exhibits ancestral mutation disparity, potentially being a functional modulator and biomarker that drives molecular alterations in EOCRC development and immunotherapies. This integrative omics study provides valuable knowledge for precision oncology of CRC. Elsevier 2023-03-14 /pmc/articles/PMC10040411/ /pubmed/36921601 http://dx.doi.org/10.1016/j.xcrm.2023.100974 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Du, Mulong Gu, Dongying Xin, Junyi Peters, Ulrike Song, Mingyang Cai, Guoshuai Li, Shuwei Ben, Shuai Meng, Yixuan Chu, Haiyan Chen, Lianmin Wang, Qianghu Zhu, Lingjun Fu, Zan Zhang, Zhengdong Wang, Meilin Integrated multi-omics approach to distinct molecular characterization and classification of early-onset colorectal cancer |
title | Integrated multi-omics approach to distinct molecular characterization and classification of early-onset colorectal cancer |
title_full | Integrated multi-omics approach to distinct molecular characterization and classification of early-onset colorectal cancer |
title_fullStr | Integrated multi-omics approach to distinct molecular characterization and classification of early-onset colorectal cancer |
title_full_unstemmed | Integrated multi-omics approach to distinct molecular characterization and classification of early-onset colorectal cancer |
title_short | Integrated multi-omics approach to distinct molecular characterization and classification of early-onset colorectal cancer |
title_sort | integrated multi-omics approach to distinct molecular characterization and classification of early-onset colorectal cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10040411/ https://www.ncbi.nlm.nih.gov/pubmed/36921601 http://dx.doi.org/10.1016/j.xcrm.2023.100974 |
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