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Moldogazieva NT, Zavadskiy SP, Astakhov DV, Sologova SS, Margaryan AG, Safrygina AA, Smolyarchuk EA. Differentially expressed non-coding RNAs and their regulatory networks in liver cancer. Heliyon 2023; 9:e19223. [PMID: 37662778 PMCID: PMC10474437 DOI: 10.1016/j.heliyon.2023.e19223] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 08/12/2023] [Accepted: 08/16/2023] [Indexed: 09/05/2023] Open
Abstract
The vast majority of human transcriptome is represented by various types of small RNAs with little or no protein-coding capability referred to as non-coding RNAs (ncRNAs). Functional ncRNAs include microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs), which are expressed at very low, but stable and reproducible levels in a variety of cell types. ncRNAs regulate gene expression due to miRNA capability of complementary base pairing with mRNAs, whereas lncRNAs and circRNAs can sponge miRNAs off their target mRNAs to act as competitive endogenous RNAs (ceRNAs). Each miRNA can target multiple mRNAs and a single mRNA can interact with several miRNAs, thereby creating miRNA-mRNA, lncRNA-miRNA-mRNA, and circRNA-miRNA-mRNA regulatory networks. Over the past few years, a variety of differentially expressed miRNAs, lncRNAs, and circRNAs (DEMs, DELs, and DECs, respectively) have been linked to cancer pathogenesis. They can exert both oncogenic and tumor suppressor roles. In this review, we discuss the recent advancements in uncovering the roles of DEMs, DELs, and DECs and their networks in aberrant cell signaling, cell cycle, transcription, angiogenesis, and apoptosis, as well as tumor microenvironment remodeling and metabolic reprogramming during hepatocarcinogenesis. We highlight the potential and challenges in the use of differentially expressed ncRNAs as biomarkers for liver cancer diagnosis and prognosis.
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Affiliation(s)
- Nurbubu T. Moldogazieva
- Department of Pharmacology, Nelyubin Institute of Pharmacy, I.M. Sechenov First Moscow State Medical University, 119991, 8 Trubetskaya str., Moscow, Russia
| | - Sergey P. Zavadskiy
- Department of Pharmacology, Nelyubin Institute of Pharmacy, I.M. Sechenov First Moscow State Medical University, 119991, 8 Trubetskaya str., Moscow, Russia
| | - Dmitry V. Astakhov
- Department of Biochemistry, Institute of Biodesign and Complex Systems Modelling, I.M. Sechenov First Moscow State Medical University, 119991, 8 Trubetskaya str., Moscow, Russia
| | - Susanna S. Sologova
- Department of Pharmacology, Nelyubin Institute of Pharmacy, I.M. Sechenov First Moscow State Medical University, 119991, 8 Trubetskaya str., Moscow, Russia
| | - Arus G. Margaryan
- Department of Pharmacology, Nelyubin Institute of Pharmacy, I.M. Sechenov First Moscow State Medical University, 119991, 8 Trubetskaya str., Moscow, Russia
| | - Anastasiya A. Safrygina
- Department of Pharmacology, Nelyubin Institute of Pharmacy, I.M. Sechenov First Moscow State Medical University, 119991, 8 Trubetskaya str., Moscow, Russia
| | - Elena A. Smolyarchuk
- Department of Pharmacology, Nelyubin Institute of Pharmacy, I.M. Sechenov First Moscow State Medical University, 119991, 8 Trubetskaya str., Moscow, Russia
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Gianni D, Farrow S. Functional Genomics for Target Identification. SLAS DISCOVERY 2020; 25:531-534. [PMID: 32567999 DOI: 10.1177/2472555220927692] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Davide Gianni
- Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Stuart Farrow
- Therapeutic Discovery Laboratories, Cancer Research UK, Cambridge, UK
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