4.6 Article

Epigenetic regulation of papillary thyroid carcinoma by long non-coding RNAs

Journal

SEMINARS IN CANCER BIOLOGY
Volume 83, Issue -, Pages 253-260

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.semcancer.2021.03.027

Keywords

Thyroid cancer; Papillary thyroid cancer; lncRNAs; Diagnostic; Prognostic

Categories

Funding

  1. Medical and Health Talents Project of Jilin Province [2020SCZT024]

Ask authors/readers for more resources

This comprehensive review discusses the research progress of lncRNAs in PTC, including in vitro and in vivo findings, as well as their potential role as diagnostic and prognostic biomarkers.
Thyroid cancer is the most common primary endocrine malignancy with papillary thyroid carcinoma (PTC) its most common subtype. The jump in diagnoses over last many years has prompted re-assessment of molecularly targeted therapies and the discovery of novel targets. Long non-coding RNAs (lncRNAs) are increasingly being assessed for their expression in various PTC models. Interestingly, in addition to cell line models, a large proportion of the reported studies have evaluated lncRNA levels in PTC patient samples providing an immediate clinical relevance of their findings. While most lncRNAs either promote or suppress PTC pathogenesis, data on individual lncRNAs is not very clear. As expected, lncRNAs function in PTC through sponging of microRNAs as well as modulation of several signaling pathways. The process of epithelial-mesenchymal transition and the PI3K/Akt and wnt signaling pathways have emerged as the primary targets of lncRNAs in PTC. This comprehensive review discusses all the information that is available on lncRNAs in PTC, ranging from in vitro and in vivo findings to the possible role of lncRNAs as diagnostic and/or prognostic biomarkers.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available