» Articles » PMID: 33764481

Deciphering Tumor Heterogeneity in Hepatocellular Carcinoma (HCC)-Multi-Omic and Singulomic Approaches

Overview
Journal Semin Liver Dis
Publisher Thieme
Specialty Gastroenterology
Date 2021 Mar 25
PMID 33764481
Citations 13
Authors
Affiliations
Soon will be listed here.
Abstract

Tumor heterogeneity, a key hallmark of hepatocellular carcinomas (HCCs), poses a significant challenge to developing effective therapies or predicting clinical outcomes in HCC. Recent advances in next-generation sequencing-based multi-omic and single cell analysis technologies have enabled us to develop high-resolution atlases of tumors and pull back the curtain on tumor heterogeneity. By combining multiregion targeting sampling strategies with deep sequencing of the genome, transcriptome, epigenome, and proteome, several studies have revealed novel mechanistic insights into tumor initiation and progression in HCC. Advances in multiparametric immune cell profiling have facilitated a deeper dive into the biological complexity of HCC, which is crucial in this era of immunotherapy. Moreover, studies using liquid biopsy have demonstrated their potential to circumvent the need for tissue sampling to investigate heterogeneity. In this review, we discuss how multi-omic and single-cell sequencing technologies have advanced our understanding of tumor heterogeneity in HCC.

Citing Articles

Post-translational modifications in hepatocellular carcinoma: unlocking new frontiers in immunotherapy.

Piao Y, Zhai N, Zhang X, Zhao W, Li M Front Immunol. 2025; 16:1554372.

PMID: 40040703 PMC: 11876159. DOI: 10.3389/fimmu.2025.1554372.


Heterogeneity in polyamine metabolism dictates prognosis and immune checkpoint blockade response in hepatocellular carcinoma.

Pan J, Lin Z, Pan Q, Zhu T Front Immunol. 2025; 16:1516332.

PMID: 39981249 PMC: 11839726. DOI: 10.3389/fimmu.2025.1516332.


Ferroptosis and hepatocellular carcinoma: the emerging role of lncRNAs.

Chen H, Han Z, Su J, Song X, Ma Q, Lin Y Front Immunol. 2024; 15:1424954.

PMID: 38846953 PMC: 11153672. DOI: 10.3389/fimmu.2024.1424954.


Construction and validation of a joint diagnosis model based on random forest and artificial intelligence network for hepatitis B-related hepatocellular carcinoma.

Jiang X, Hu J, Xie S Transl Cancer Res. 2024; 13(2):1068-1082.

PMID: 38482416 PMC: 10928625. DOI: 10.21037/tcr-23-1197.


Machine Learning-Based Nomogram for Predicting Overall Survival in Elderly Patients with Cirrhotic Hepatocellular Carcinoma Undergoing Ablation Therapy.

Qiao W, Sheng S, Li J, Jin R, Hu C J Hepatocell Carcinoma. 2024; 11:509-523.

PMID: 38468611 PMC: 10926877. DOI: 10.2147/JHC.S450825.


References
1.
Mahe E, Pugh T, Kamel-Reid S . T cell clonality assessment: past, present and future. J Clin Pathol. 2017; 71(3):195-200. PMC: 5868531. DOI: 10.1136/jclinpath-2017-204761. View

2.
Kurebayashi Y, Ojima H, Tsujikawa H, Kubota N, Maehara J, Abe Y . Landscape of immune microenvironment in hepatocellular carcinoma and its additional impact on histological and molecular classification. Hepatology. 2018; 68(3):1025-1041. DOI: 10.1002/hep.29904. View

3.
Shay J . Role of Telomeres and Telomerase in Aging and Cancer. Cancer Discov. 2016; 6(6):584-93. PMC: 4893918. DOI: 10.1158/2159-8290.CD-16-0062. View

4.
Huang A, Zhao X, Yang X, Li F, Zhou X, Wu K . Circumventing intratumoral heterogeneity to identify potential therapeutic targets in hepatocellular carcinoma. J Hepatol. 2017; 67(2):293-301. DOI: 10.1016/j.jhep.2017.03.005. View

5.
Blumer T, Fofana I, Matter M, Wang X, Montazeri H, Calabrese D . Hepatocellular Carcinoma Xenografts Established From Needle Biopsies Preserve the Characteristics of the Originating Tumors. Hepatol Commun. 2019; 3(7):971-986. PMC: 6601318. DOI: 10.1002/hep4.1365. View