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An Overview on Single-Cell Technology for Hepatocellular Carcinoma Diagnosis

Authors :
Sheik Aliya
Hoomin Lee
Munirah Alhammadi
Reddicherla Umapathi
Yun Suk Huh
Source :
International Journal of Molecular Sciences, Vol 23, Iss 3, p 1402 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

Hepatocellular carcinoma is a primary liver cancer caused by the accumulation of genetic mutation patterns associated with epidemiological conditions. This lethal malignancy exhibits tumor heterogeneity, which is considered as one of the main reasons for drug resistance development and failure of clinical trials. Recently, single-cell technology (SCT), a new advanced sequencing technique that analyzes every single cell in a tumor tissue specimen, aids complete insight into the genetic heterogeneity of cancer. This helps in identifying and assessing rare cell populations by analyzing the difference in gene expression pattern between individual cells of single biopsy tissue which normally cannot be identified from pooled cell gene expression pattern (traditional sequencing technique). Thus, SCT improves the clinical diagnosis, treatment, and prognosis of hepatocellular carcinoma as the limitations of other techniques impede this cancer research progression. Application of SCT at the genomic, transcriptomic, and epigenomic levels to promote individualized hepatocellular carcinoma diagnosis and therapy. The current review has been divided into ten sections. Herein we deliberated on the SCT, hepatocellular carcinoma diagnosis, tumor microenvironment analysis, single-cell genomic sequencing, single-cell transcriptomics, single-cell omics sequencing for biomarker development, identification of hepatocellular carcinoma origination and evolution, limitations, challenges, conclusions, and future perspectives.

Details

Language :
English
ISSN :
14220067 and 16616596
Volume :
23
Issue :
3
Database :
Directory of Open Access Journals
Journal :
International Journal of Molecular Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.9e42af00af1c49daae09388bca14ebcc
Document Type :
article
Full Text :
https://doi.org/10.3390/ijms23031402