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Non-coding RNA and autophagy: Finding novel ways to improve the diagnostic management of bladder cancer.
- Source :
-
Frontiers in genetics [Front Genet] 2023 Jan 04; Vol. 13, pp. 1051762. Date of Electronic Publication: 2023 Jan 04 (Print Publication: 2022). - Publication Year :
- 2023
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Abstract
- Major fraction of the human genome is transcribed in to the RNA but is not translated in to any specific functional protein. These transcribed but not translated RNA molecules are called as non-coding RNA (ncRNA). There are thousands of different non-coding RNAs present inside the cells, each regulating different cellular pathway/pathways. Over the last few decades non-coding RNAs have been found to be involved in various diseases including cancer. Non-coding RNAs are reported to function both as tumor enhancer and/or tumor suppressor in almost each type of cancer. Urothelial carcinoma of the urinary bladder is the second most common urogenital malignancy in the world. Over the last few decades, non-coding RNAs were demonstrated to be linked with bladder cancer progression by modulating different signalling pathways and cellular processes such as autophagy, metastasis, drug resistance and tumor proliferation. Due to the heterogeneity of bladder cancer cells more in-depth molecular characterization is needed to identify new diagnostic and treatment options. This review emphasizes the current findings on non-coding RNAs and their relationship with various oncological processes such as autophagy, and their applicability to the pathophysiology of bladder cancer. This may offer an understanding of evolving non-coding RNA-targeted diagnostic tools and new therapeutic approaches for bladder cancer management in the future.<br />Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2023 Tantray, Ojha and Sharma.)
Details
- Language :
- English
- ISSN :
- 1664-8021
- Volume :
- 13
- Database :
- MEDLINE
- Journal :
- Frontiers in genetics
- Publication Type :
- Academic Journal
- Accession number :
- 36685879
- Full Text :
- https://doi.org/10.3389/fgene.2022.1051762