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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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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. |
format | Online Article Text |
id | pubmed-6839802 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
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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