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

Qi Zhang(First Affiliated Hospital Zhejiang University), Yu Lou(First Affiliated Hospital Zhejiang University), Jiaqi Yang(First Affiliated Hospital Zhejiang University), Junli Wang(First Affiliated Hospital Zhejiang University), Jie Feng(Capital Medical University), Yali Zhao(Novogene Bioinformatics Institute), Lin Wang(First Affiliated Hospital Zhejiang University), Xing Huang(First Affiliated Hospital Zhejiang University), Qihan Fu(First Affiliated Hospital Zhejiang University), Mao Ye(First Affiliated Hospital Zhejiang University), Xiaozhen Zhang(First Affiliated Hospital Zhejiang University), Yiwen Chen(First Affiliated Hospital Zhejiang University), Ce Ma(Novogene Bioinformatics Institute), Hongbin Ge(First Affiliated Hospital Zhejiang University), Jianing Wang(First Affiliated Hospital Zhejiang University), Jiangchao Wu(First Affiliated Hospital Zhejiang University), Tao Wei(First Affiliated Hospital Zhejiang University), Qi Chen(First Affiliated Hospital Zhejiang University), Junqing Wu(First Affiliated Hospital Zhejiang University), Chengxuan Yu(Zhejiang University), Yanyu Xiao(Zhejiang University), Xin‐Hua Feng(Zhejiang University), Guoji Guo(Zhejiang University), Tingbo Liang(First Affiliated Hospital Zhejiang University), Xueli Bai(First Affiliated Hospital Zhejiang University)
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Abstract

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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