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Regulatory Network Analysis of Mutated Genes Based on Multi-Omics Data Reveals the Exclusive Features in Tumor Immune Microenvironment Between Left-Sided and Right-Sided Colon Cancer

Left-sided colon cancer (LCC) and right-sided colon cancer (RCC) have distinct characteristics in tumor immune microenvironment (TIME). Although existing studies have shown a strong association between gene mutations and TIME, whether the regulatory mechanisms between gene mutations and TIME are dif...

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Autores principales: Yi, Tianfei, Zhang, Yuwei, Ng, Derry Minyao, Xi, Yang, Ye, Meng, Cen, Lvjun, Li, Jianjiong, Fan, Xiaoxiang, Li, Yanguo, Hu, Shiyun, Rong, Hao, Xie, Yangyang, Zhao, Guofang, Chen, Leyi, Chen, Chen, Ni, Shujing, Mi, Jiaying, Dai, Xiaoyu, Liao, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8239301/
https://www.ncbi.nlm.nih.gov/pubmed/34211853
http://dx.doi.org/10.3389/fonc.2021.685515
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author Yi, Tianfei
Zhang, Yuwei
Ng, Derry Minyao
Xi, Yang
Ye, Meng
Cen, Lvjun
Li, Jianjiong
Fan, Xiaoxiang
Li, Yanguo
Hu, Shiyun
Rong, Hao
Xie, Yangyang
Zhao, Guofang
Chen, Leyi
Chen, Chen
Ni, Shujing
Mi, Jiaying
Dai, Xiaoyu
Liao, Qi
author_facet Yi, Tianfei
Zhang, Yuwei
Ng, Derry Minyao
Xi, Yang
Ye, Meng
Cen, Lvjun
Li, Jianjiong
Fan, Xiaoxiang
Li, Yanguo
Hu, Shiyun
Rong, Hao
Xie, Yangyang
Zhao, Guofang
Chen, Leyi
Chen, Chen
Ni, Shujing
Mi, Jiaying
Dai, Xiaoyu
Liao, Qi
author_sort Yi, Tianfei
collection PubMed
description Left-sided colon cancer (LCC) and right-sided colon cancer (RCC) have distinct characteristics in tumor immune microenvironment (TIME). Although existing studies have shown a strong association between gene mutations and TIME, whether the regulatory mechanisms between gene mutations and TIME are different between RCC and LCC is still unclear. In this study, we showed the fractions of CD8+ T cells were higher while those of regulatory T cells were lower in RCC. Besides, a stronger association between gene mutations and TIME was observed in RCC. Specifically, using multi-omics data, we demonstrated the mutations of most top mutated genes (TMGs) including BRAF, PCLO, MUC16, LRP2, ANK3, KMT2D, RYR2 made great contributions to elevated fraction of immune cells by up-regulating immune-related genes directly or indirectly through miRNA and DNA methylation, whereas the effects of APC, TP53 and KRAS mutations on TIME were reversed in RCC. Remarkably, we found the expression levels of several immune checkpoint molecules such as PD-1 and LAG3 were correlated with corresponding DNA methylation levels, which were associated with the mutations of TMGs in RCC. In contrast, the associations between gene mutations and TIME were less significant in LCC. Besides, survival analyses showed APC mutation had adverse impact on immunotherapy while patients with BRAF mutation were more suitable for immunotherapy in colon cancer. We hope that our results will provide a deeper insight into the sophisticated mechanism underlying the regulation between mutations and TIME, and thus boost the discovery of differential immunotherapeutic strategies for RCC and LCC.
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spelling pubmed-82393012021-06-30 Regulatory Network Analysis of Mutated Genes Based on Multi-Omics Data Reveals the Exclusive Features in Tumor Immune Microenvironment Between Left-Sided and Right-Sided Colon Cancer Yi, Tianfei Zhang, Yuwei Ng, Derry Minyao Xi, Yang Ye, Meng Cen, Lvjun Li, Jianjiong Fan, Xiaoxiang Li, Yanguo Hu, Shiyun Rong, Hao Xie, Yangyang Zhao, Guofang Chen, Leyi Chen, Chen Ni, Shujing Mi, Jiaying Dai, Xiaoyu Liao, Qi Front Oncol Oncology Left-sided colon cancer (LCC) and right-sided colon cancer (RCC) have distinct characteristics in tumor immune microenvironment (TIME). Although existing studies have shown a strong association between gene mutations and TIME, whether the regulatory mechanisms between gene mutations and TIME are different between RCC and LCC is still unclear. In this study, we showed the fractions of CD8+ T cells were higher while those of regulatory T cells were lower in RCC. Besides, a stronger association between gene mutations and TIME was observed in RCC. Specifically, using multi-omics data, we demonstrated the mutations of most top mutated genes (TMGs) including BRAF, PCLO, MUC16, LRP2, ANK3, KMT2D, RYR2 made great contributions to elevated fraction of immune cells by up-regulating immune-related genes directly or indirectly through miRNA and DNA methylation, whereas the effects of APC, TP53 and KRAS mutations on TIME were reversed in RCC. Remarkably, we found the expression levels of several immune checkpoint molecules such as PD-1 and LAG3 were correlated with corresponding DNA methylation levels, which were associated with the mutations of TMGs in RCC. In contrast, the associations between gene mutations and TIME were less significant in LCC. Besides, survival analyses showed APC mutation had adverse impact on immunotherapy while patients with BRAF mutation were more suitable for immunotherapy in colon cancer. We hope that our results will provide a deeper insight into the sophisticated mechanism underlying the regulation between mutations and TIME, and thus boost the discovery of differential immunotherapeutic strategies for RCC and LCC. Frontiers Media S.A. 2021-06-15 /pmc/articles/PMC8239301/ /pubmed/34211853 http://dx.doi.org/10.3389/fonc.2021.685515 Text en Copyright © 2021 Yi, Zhang, Ng, Xi, Ye, Cen, Li, Fan, Li, Hu, Rong, Xie, Zhao, Chen, Chen, Ni, Mi, Dai and Liao https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Yi, Tianfei
Zhang, Yuwei
Ng, Derry Minyao
Xi, Yang
Ye, Meng
Cen, Lvjun
Li, Jianjiong
Fan, Xiaoxiang
Li, Yanguo
Hu, Shiyun
Rong, Hao
Xie, Yangyang
Zhao, Guofang
Chen, Leyi
Chen, Chen
Ni, Shujing
Mi, Jiaying
Dai, Xiaoyu
Liao, Qi
Regulatory Network Analysis of Mutated Genes Based on Multi-Omics Data Reveals the Exclusive Features in Tumor Immune Microenvironment Between Left-Sided and Right-Sided Colon Cancer
title Regulatory Network Analysis of Mutated Genes Based on Multi-Omics Data Reveals the Exclusive Features in Tumor Immune Microenvironment Between Left-Sided and Right-Sided Colon Cancer
title_full Regulatory Network Analysis of Mutated Genes Based on Multi-Omics Data Reveals the Exclusive Features in Tumor Immune Microenvironment Between Left-Sided and Right-Sided Colon Cancer
title_fullStr Regulatory Network Analysis of Mutated Genes Based on Multi-Omics Data Reveals the Exclusive Features in Tumor Immune Microenvironment Between Left-Sided and Right-Sided Colon Cancer
title_full_unstemmed Regulatory Network Analysis of Mutated Genes Based on Multi-Omics Data Reveals the Exclusive Features in Tumor Immune Microenvironment Between Left-Sided and Right-Sided Colon Cancer
title_short Regulatory Network Analysis of Mutated Genes Based on Multi-Omics Data Reveals the Exclusive Features in Tumor Immune Microenvironment Between Left-Sided and Right-Sided Colon Cancer
title_sort regulatory network analysis of mutated genes based on multi-omics data reveals the exclusive features in tumor immune microenvironment between left-sided and right-sided colon cancer
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8239301/
https://www.ncbi.nlm.nih.gov/pubmed/34211853
http://dx.doi.org/10.3389/fonc.2021.685515
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