Literature DB >> 30916311

Genomic and transcriptional heterogeneity of multifocal hepatocellular carcinoma.

L X Xu1, M H He2, Z H Dai2, J Yu3, J G Wang4, X C Li5, B B Jiang4, Z F Ke6, T H Su2, Z W Peng7, Y Guo2, Z B Chen2, S L Chen8, S Peng9, M Kuang10.   

Abstract

BACKGROUND: Hepatocellular carcinoma (HCC) often presents with multiple nodules within the liver, with limited effective interventions. The high genetic heterogeneity of HCC might be the major cause of treatment failure. We aimed to characterize genomic heterogeneity, infer clonal evolution, investigate RNA expression pattern and explore tumour immune microenvironment profile of multifocal HCC. PATIENTS AND METHODS: Whole-exome sequencing and RNA sequencing were carried out in 34 tumours and 6 adjacent normal liver tissue samples from 6 multifocal HCC patients. Protein expression of Ki67, AFP, P53, Survivin and CD8 was detected by immunohistochemistry. Fluorescence in situ hybridization was carried out to validate the amplification status of sorafenib-targeted genes.
RESULTS: We deciphered genomic and transcriptional heterogeneity among tumours in each multifocal HCC patient including mutational profiles, copy number alterations, tumour evolutionary trajectory and tumour immune microenvironment profiles. Of note, sorafenib-targeted alterations were identified in the trunk of phylogenetic tree in only one out of the six patients, which may explain the relative low treatment response rate to sorafenib in clinical practice. Moreover, we demonstrated RNA expression patterns and tumour immune microenvironment profiles of all nodules. We found that RNA expression pattern was associated with Edmondson-Steiner grading. Based on the differential expression of 66 reported immune markers, unsupervised hierarchical clustering analysis of 34 nodules identified immune subsets: one low expression cluster with seven nodules and one high expression cluster with 11 nodules. CD8+ T cells were more enriched in nodules of the high expression cluster.
CONCLUSIONS: Our study provided a detailed view of genomic and transcriptional heterogeneity, clonal evolution and immune infiltration of multifocal HCC. The heterogeneity of druggable targets and immune landscape might help interpret the clinical responsiveness to targeted drugs and immunotherapy for multifocal HCC patients.
© The Author(s) 2019. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  clonal evolution; genomic heterogeneity; hepatocellular carcinoma; immune microenvironment; multifocal; transcriptional heterogeneity

Mesh:

Substances:

Year:  2019        PMID: 30916311      PMCID: PMC6594462          DOI: 10.1093/annonc/mdz103

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  23 in total

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Journal:  Gastroenterology       Date:  2016-09-14       Impact factor: 22.682

2.  Identification of an Immune-specific Class of Hepatocellular Carcinoma, Based on Molecular Features.

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Journal:  Gastroenterology       Date:  2017-06-15       Impact factor: 22.682

3.  Trunk mutational events present minimal intra- and inter-tumoral heterogeneity in hepatocellular carcinoma.

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Journal:  J Hepatol       Date:  2017-08-24       Impact factor: 25.083

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Journal:  J Natl Cancer Inst       Date:  2017-09-01       Impact factor: 13.506

10.  Comprehensive and Integrative Genomic Characterization of Hepatocellular Carcinoma.

Authors: 
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7.  Pan-Cancer Analysis of Radiotherapy Benefits and Immune Infiltration in Multiple Human Cancers.

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8.  Sorafenib Treatment and Modulation of the Sphingolipid Pathway Affect Proliferation and Viability of Hepatocellular Carcinoma In Vitro.

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Journal:  Int J Mol Sci       Date:  2020-03-31       Impact factor: 5.923

Review 9.  Extracellular Vesicles, A Possible Theranostic Platform Strategy for Hepatocellular Carcinoma-An Overview.

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10.  Tumor-infiltrating immune cells in hepatocellular carcinoma: Tregs is correlated with poor overall survival.

Authors:  SiZhe Yu; Yu Wang; Jia Hou; WenYuan Li; Xiao Wang; LuoChengLing Xiang; DeLi Tan; WenJuan Wang; LiLi Jiang; Francois X Claret; Min Jiao; Hui Guo
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