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Long Non-coding RNA NEAT1 as an Emerging Biomarker in Breast and Gynecologic Cancers: a Systematic Overview
- Source :
- Reproductive Sciences. 28:2436-2447
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- Long non-coding RNAs (lncRNAs) are emerging regulators of cellular pathways, especially in cancer development. Among the lncRNAs, nuclear paraspeckle assembly transcript 1 (NEAT1) forms a scaffold for a nuclear body; the paraspeckle and aberrant expression of NEAT1 have been reported in breast and gynecologic cancers (ovarian, cervical, endometrial, and vulvar). Abundantly expressed NEAT1 in breast and gynecologic cancers generally contribute to tumor development by sponging its corresponding tumor-suppressive microRNAs or interacting with various regulatory proteins. The distinct expression of NEAT1 and its contribution to tumorigenic pathways make it a promising therapeutic target in breast and gynecologic cancers. Herein, we summarize the functions and molecular mechanisms of NEAT1 in human breast, ovarian, cervical, endometrial, and vulvar cancers. Furthermore, we emphasize its critical role in the formation of paraspeckle development and its functions. Conclusively, NEAT1 is a considerable biomarker with a bright prospect and can be therapeutically targeted to manage breast and gynecologic cancers.
- Subjects :
- 0301 basic medicine
Genital Neoplasms, Female
Clinical Decision-Making
Breast Neoplasms
03 medical and health sciences
0302 clinical medicine
Breast cancer
Predictive Value of Tests
microRNA
Biomarkers, Tumor
medicine
Animals
Humans
Precision Medicine
Ovarian Neoplasms
030219 obstetrics & reproductive medicine
Vulvar Neoplasms
business.industry
Obstetrics and Gynecology
Paraspeckle
Prognosis
medicine.disease
Long non-coding RNA
Paraspeckles
Gene Expression Regulation, Neoplastic
Nuclear body
Biomarker
030104 developmental biology
Uterine Neoplasms
Cancer research
Female
RNA, Long Noncoding
Ovarian cancer
business
Signal Transduction
Subjects
Details
- ISSN :
- 19337205 and 19337191
- Volume :
- 28
- Database :
- OpenAIRE
- Journal :
- Reproductive Sciences
- Accession number :
- edsair.doi.dedup.....26e28655bb33774f2f3d03660aac48b0