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Integrated multiomic analysis reveals comprehensive tumour heterogeneity and novel immunophenotypic classification in hepatocellular carcinomas

OBJECTIVE: Hepatocellular carcinoma (HCC) is heterogeneous, especially in multifocal tumours, which decreases the efficacy of clinical treatments. Understanding tumour heterogeneity is critical when developing novel treatment strategies. However, a comprehensive investigation of tumour heterogeneity...

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Autores principales: Zhang, Qi, Lou, Yu, Yang, Jiaqi, Wang, Junli, Feng, Jie, Zhao, Yali, Wang, Lin, Huang, Xing, Fu, Qihan, Ye, Mao, Zhang, Xiaozhen, Chen, Yiwen, Ma, Ce, Ge, Hongbin, Wang, Jianing, Wu, Jiangchao, Wei, Tao, Chen, Qi, Wu, Junqing, Yu, Chengxuan, Xiao, Yanyu, Feng, Xinhua, Guo, Guoji, Liang, Tingbo, Bai, Xueli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6839802/
https://www.ncbi.nlm.nih.gov/pubmed/31227589
http://dx.doi.org/10.1136/gutjnl-2019-318912
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author Zhang, Qi
Lou, Yu
Yang, Jiaqi
Wang, Junli
Feng, Jie
Zhao, Yali
Wang, Lin
Huang, Xing
Fu, Qihan
Ye, Mao
Zhang, Xiaozhen
Chen, Yiwen
Ma, Ce
Ge, Hongbin
Wang, Jianing
Wu, Jiangchao
Wei, Tao
Chen, Qi
Wu, Junqing
Yu, Chengxuan
Xiao, Yanyu
Feng, Xinhua
Guo, Guoji
Liang, Tingbo
Bai, Xueli
author_facet Zhang, Qi
Lou, Yu
Yang, Jiaqi
Wang, Junli
Feng, Jie
Zhao, Yali
Wang, Lin
Huang, Xing
Fu, Qihan
Ye, Mao
Zhang, Xiaozhen
Chen, Yiwen
Ma, Ce
Ge, Hongbin
Wang, Jianing
Wu, Jiangchao
Wei, Tao
Chen, Qi
Wu, Junqing
Yu, Chengxuan
Xiao, Yanyu
Feng, Xinhua
Guo, Guoji
Liang, Tingbo
Bai, Xueli
author_sort Zhang, Qi
collection PubMed
description OBJECTIVE: Hepatocellular carcinoma (HCC) is heterogeneous, especially in multifocal tumours, which decreases the efficacy of clinical treatments. Understanding tumour heterogeneity is critical when developing novel treatment strategies. However, a comprehensive investigation of tumour heterogeneity in HCC is lacking, and the available evidence regarding tumour heterogeneity has not led to improvements in clinical practice. DESIGN: We harvested 42 samples from eight HCC patients and evaluated tumour heterogeneity using whole-exome sequencing, RNA sequencing, mass spectrometry-based proteomics and metabolomics, cytometry by time-of-flight, and single-cell analysis. Immunohistochemistry and quantitative polymerase chain reactions were performed to confirm the expression levels of genes. Three independent cohorts were further used to validate the findings. RESULTS: Tumour heterogeneity is considerable with regard to the genomes, transcriptomes, proteomes, and metabolomes of lesions and tumours. The immune status of the HCC microenvironment was relatively less heterogenous. Targeting local immunity could be a suitable intervention with balanced precision and practicability. By clustering immune cells in the HCC microenvironment, we identified three distinctive HCC subtypes with immunocompetent, immunodeficient, and immunosuppressive features. We further revealed the specific metabolic features and cytokine/chemokine expression levels of the different subtypes. Determining the expression levels of CD45 and Foxp3 using immunohistochemistry facilitated the correct classification of HCC patients and the prediction of their prognosis. CONCLUSION: There is comprehensive intratumoral and intertumoral heterogeneity in all dimensions of HCC. Based on the results, we propose a novel immunophenotypic classification of HCCs that facilitates prognostic prediction and may support decision making with regard to the choice of therapy.
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spelling pubmed-68398022019-11-12 Integrated multiomic analysis reveals comprehensive tumour heterogeneity and novel immunophenotypic classification in hepatocellular carcinomas Zhang, Qi Lou, Yu Yang, Jiaqi Wang, Junli Feng, Jie Zhao, Yali Wang, Lin Huang, Xing Fu, Qihan Ye, Mao Zhang, Xiaozhen Chen, Yiwen Ma, Ce Ge, Hongbin Wang, Jianing Wu, Jiangchao Wei, Tao Chen, Qi Wu, Junqing Yu, Chengxuan Xiao, Yanyu Feng, Xinhua Guo, Guoji Liang, Tingbo Bai, Xueli Gut Hepatology OBJECTIVE: Hepatocellular carcinoma (HCC) is heterogeneous, especially in multifocal tumours, which decreases the efficacy of clinical treatments. Understanding tumour heterogeneity is critical when developing novel treatment strategies. However, a comprehensive investigation of tumour heterogeneity in HCC is lacking, and the available evidence regarding tumour heterogeneity has not led to improvements in clinical practice. DESIGN: We harvested 42 samples from eight HCC patients and evaluated tumour heterogeneity using whole-exome sequencing, RNA sequencing, mass spectrometry-based proteomics and metabolomics, cytometry by time-of-flight, and single-cell analysis. Immunohistochemistry and quantitative polymerase chain reactions were performed to confirm the expression levels of genes. Three independent cohorts were further used to validate the findings. RESULTS: Tumour heterogeneity is considerable with regard to the genomes, transcriptomes, proteomes, and metabolomes of lesions and tumours. The immune status of the HCC microenvironment was relatively less heterogenous. Targeting local immunity could be a suitable intervention with balanced precision and practicability. By clustering immune cells in the HCC microenvironment, we identified three distinctive HCC subtypes with immunocompetent, immunodeficient, and immunosuppressive features. We further revealed the specific metabolic features and cytokine/chemokine expression levels of the different subtypes. Determining the expression levels of CD45 and Foxp3 using immunohistochemistry facilitated the correct classification of HCC patients and the prediction of their prognosis. CONCLUSION: There is comprehensive intratumoral and intertumoral heterogeneity in all dimensions of HCC. Based on the results, we propose a novel immunophenotypic classification of HCCs that facilitates prognostic prediction and may support decision making with regard to the choice of therapy. BMJ Publishing Group 2019-11 2019-06-21 /pmc/articles/PMC6839802/ /pubmed/31227589 http://dx.doi.org/10.1136/gutjnl-2019-318912 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Hepatology
Zhang, Qi
Lou, Yu
Yang, Jiaqi
Wang, Junli
Feng, Jie
Zhao, Yali
Wang, Lin
Huang, Xing
Fu, Qihan
Ye, Mao
Zhang, Xiaozhen
Chen, Yiwen
Ma, Ce
Ge, Hongbin
Wang, Jianing
Wu, Jiangchao
Wei, Tao
Chen, Qi
Wu, Junqing
Yu, Chengxuan
Xiao, Yanyu
Feng, Xinhua
Guo, Guoji
Liang, Tingbo
Bai, Xueli
Integrated multiomic analysis reveals comprehensive tumour heterogeneity and novel immunophenotypic classification in hepatocellular carcinomas
title Integrated multiomic analysis reveals comprehensive tumour heterogeneity and novel immunophenotypic classification in hepatocellular carcinomas
title_full Integrated multiomic analysis reveals comprehensive tumour heterogeneity and novel immunophenotypic classification in hepatocellular carcinomas
title_fullStr Integrated multiomic analysis reveals comprehensive tumour heterogeneity and novel immunophenotypic classification in hepatocellular carcinomas
title_full_unstemmed Integrated multiomic analysis reveals comprehensive tumour heterogeneity and novel immunophenotypic classification in hepatocellular carcinomas
title_short Integrated multiomic analysis reveals comprehensive tumour heterogeneity and novel immunophenotypic classification in hepatocellular carcinomas
title_sort integrated multiomic analysis reveals comprehensive tumour heterogeneity and novel immunophenotypic classification in hepatocellular carcinomas
topic Hepatology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6839802/
https://www.ncbi.nlm.nih.gov/pubmed/31227589
http://dx.doi.org/10.1136/gutjnl-2019-318912
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