LncRNAs in the Regulation of Genes and Signaling Pathways through miRNA-Mediated and Other Mechanisms in Clear Cell Renal Cell Carcinoma.
Eleonora A BragaMarina V FridmanElena A FilippovaVitaly I LoginovIrina V ProninaAlexey M BurdennyyAlexander V KarpukhinAlexey A DmitrievSergey G MorozovPublished in: International journal of molecular sciences (2021)
The fundamental novelty in the pathogenesis of renal cell carcinoma (RCC) was discovered as a result of the recent identification of the role of long non-coding RNAs (lncRNAs). Here, we discuss several mechanisms for the dysregulation of the expression of protein-coding genes initiated by lncRNAs in the most common and aggressive type of kidney cancer-clear cell RCC (ccRCC). A model of competitive endogenous RNA (ceRNA) is considered, in which lncRNA acts on genes through the lncRNA/miRNA/mRNA axis. For the most studied oncogenic lncRNAs, such as HOTAIR, MALAT1, and TUG1, several regulatory axes were identified in ccRCC, demonstrating a number of sites for various miRNAs. Interestingly, the LINC00973/miR-7109/Siglec-15 axis represents a novel agent that can suppress the immune response in patients with ccRCC, serving as a valuable target in addition to the PD1/PD-L1 pathway. Other mechanisms of action of lncRNAs in ccRCC, involving direct binding with proteins, mRNAs, and genes/DNA, are also considered. Our review briefly highlights methods by which various mechanisms of action of lncRNAs were verified. We pay special attention to protein targets and signaling pathways with which lncRNAs are associated in ccRCC. Thus, these new data on the different mechanisms of lncRNA functioning provide a novel basis for understanding the pathogenesis of ccRCC and the identification of new prognostic markers and targets for therapy.
Keyphrases
- long non coding rna
- genome wide identification
- genome wide analysis
- poor prognosis
- transcription factor
- renal cell carcinoma
- bioinformatics analysis
- network analysis
- immune response
- genome wide
- long noncoding rna
- binding protein
- signaling pathway
- cell proliferation
- dna binding
- stem cells
- dendritic cells
- machine learning
- papillary thyroid
- oxidative stress
- working memory
- electronic health record
- dna methylation
- big data
- young adults
- health insurance
- amino acid
- small molecule
- lymph node metastasis
- nucleic acid