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Abstract
Hepatocellular carcinoma (HCC), with its increasing prevalence globally, is emerging as a major health challenge. Hepatocellular carcinoma cells exhibit both significant homogeneity and heterogeneity, governed by complex epigenomic regulations. Recently, numerous single-cell unimodal techniques have been used to study HCC at various levelswhich have already revealed a complex interplay at genomic, transcriptomic, spatial and epigenomic levels. However, the use of single-cell multimodal techniques combining different unimodal layers in HCC remains quite limited, necessitating further studies focusing on these methods to uncover novel markers, and mechanisms at epigenetic levels. In this commentary, we highlight how integrating multimodal approaches with epigenetic modifications can provide new insights into HCC and foster future therapeutic advancements.
Keywords
bioinformatics
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cancer
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genomics
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hepatocellular carcinoma
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liver
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Vikas Kumar, Samuel Beck.
“Single-cellmultimodal chromatin profiles revealing epigenetic regulations of cells in hepatocellular carcinoma”.
Clinical and Translational Discovery, 2024, 4(5): e70002 DOI:10.1002/ctd2.70002
| [1] |
LlovetJM, KelleyRK, VillanuevaA, et al. Hepatocellular carcinoma. Nat Rev Dis Primer. 2021;7:1-28.
|
| [2] |
PeetersF, Cappuyns S, Piqué-GiliM, et al. Applications of single-cell multi-omics in liver cancer. JHEP Rep. 2024;6:101094.
|
| [3] |
XueR, ZhangQ, CaoQ, et al. Liver tumour immune microenvironment subtypes and neutrophil heterogeneity. Nature. 2022;612:141-147.
|
| [4] |
LoP-K, ZhouQ. Emerging techniques in single-cell epigenomics and their applications to cancer research. J Clin Genomics. 2018;1. doi:10.4172/JCG.1000103
|
| [5] |
WangX, WuX, HongN, et al. Progress in single-cell multimodal sequencing and multi-omics data integration. Biophys Rev. 2024;16:13-28.
|
| [6] |
HouY, GuoH, CaoC, et al. Single-cell triple omics sequencing reveals genetic, epigenetic, and transcriptomic heterogeneity in hepatocellular carcinomas. Cell Res. 2016;26:304-319.
|
| [7] |
WangS, XieJ, ZouX, et al. Single-cell multiomics reveals heterogeneous cell states linked to metastatic potential in liver cancer cell lines. iScience. 2022;25:103857.
|
| [8] |
D’AvolaD, Villacorta-Martin C, Martins-FilhoSN, et al. High-density single cell mRNA sequencing to characterize circulating tumor cells in hepatocellular carcinoma. Sci Rep. 2018;8:11570.
|
| [9] |
MaL, Hernandez MO, ZhaoY, et al. Tumor cell biodiversity drives microenvironmental reprogramming in liver cancer. Cancer Cell. 2019;36:418-430.e6.
|
| [10] |
de VisserKE, JoyceJA. The evolving tumor microenvironment: from cancer initiation to metastatic outgrowth. Cancer Cell. 2023;41:374-403.
|
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2024 The Author(s). Clinical and Translational Discovery published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics.
