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Journal of Ovarian Research
Article . 2022 . Peer-reviewed
License: CC BY
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License: CC BY
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Journal of Ovarian Research
Article . 2022
Data sources: DOAJ
https://dx.doi.org/10.60692/hh...
Other literature type . 2022
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Other literature type . 2022
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Role of different non-coding RNAs as ovarian cancer biomarkers

دور مختلف الحمض النووي الريبوزي غير المشفر كمؤشرات حيوية لسرطان المبيض
Authors: Anam Beg; Rabea Parveen; Hassan Fouad; M. E. Yahia; Azza S. Hassanein;

Role of different non-coding RNAs as ovarian cancer biomarkers

Abstract

Abstract Background Among many gynecological malignancies ovarian cancer is the most prominent and leading cause of female mortality worldwide. Despite extensive research, the underlying cause of disease progression and pathology is still unknown. In the progression of ovarian cancer different non-coding RNAs have been recognized as important regulators. The biology of ovarian cancer which includes cancer initiation, progression, and dissemination is found to be regulated by different ncRNA. Clinically ncRNA shows high prognostic and diagnostic importance. Results In this review, we prioritize the role of different non-coding RNA and their perspective in diagnosis as potential biomarkers in the case of ovarian cancer. Summary of some of the few miRNAs involved in epithelial ovarian cancer their expression and clinical features are being provided in the table. Also, in cancer cell proliferation, apoptosis, invasion, and migration abnormal expression of piRNAs are emerging as a crucial regulator hence the role of few piRNAs is being given. Both tRFs and tiRNAs play important roles in tumorigenesis and are promising diagnostic biomarkers and therapeutic targets for cancer. lncRNA has shown a leading role in malignant transformation and potential therapeutic value in ovarian cancer therapy. Conclusions Hence in this review we demonstrated the role of different ncRNA that play an important role in serving strong potential as a therapeutic approach for the treatment of ovarian cancer.

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Keywords

FOS: Computer and information sciences, Cancer Research, Non-coding RNA Networks, tRNA-derived small RNAs, MicroRNA Regulation in Cancer and Development, Carcinogenesis, Bioinformatics, Role of Long Noncoding RNAs in Cancer and Development, Review, Cancer research, Carcinoma, Ovarian Epithelial, Gene, Ovarian cancer, Biochemistry, Genetics and Molecular Biology, Biomarkers, Tumor, Genetics, Humans, Disease, Biogenesis and Functions of Circular RNAs, Non-coding RNA, Small non-coding-RNA, Molecular Biology, Biology, Internal medicine, Cancer, Ovarian Neoplasms, microRNAs (miRNAs), microRNA, RNA Regulation, Gynecological malignancies, Life Sciences, Gynecology and obstetrics, Cancer Biomarkers, Long coding RNA, Gene Expression Regulation, Neoplastic, FOS: Biological sciences, Long non-coding RNA, RG1-991, Medicine, RNA, Female, RNA, Long Noncoding

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
29
Top 10%
Average
Top 10%
Green
gold