Exploring the Roles of lncRNAs in GBM Pathophysiology and Their Therapeutic Potential.

Autor: Stackhouse CT; Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, AL 35233, USA.; Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL 35233, USA., Gillespie GY; Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, AL 35233, USA., Willey CD; Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL 35233, USA.
Jazyk: angličtina
Zdroj: Cells [Cells] 2020 Oct 28; Vol. 9 (11). Date of Electronic Publication: 2020 Oct 28.
DOI: 10.3390/cells9112369
Abstrakt: Glioblastoma (GBM) remains the most devastating primary central nervous system malignancy with a median survival of around 15 months. The past decades of research have not yielded significant advancements in the treatment of GBM. In that same time, a novel class of molecules, long non-coding RNAs (lncRNAs), has been found to play a multitude of roles in cancer and normal biology. The increased accessibility of next generation sequencing technologies and the advent of lncRNA-specific microarrays have facilitated the study of lncRNA etiology. Molecular and computational methods can be applied to predict lncRNA function. LncRNAs can serve as molecular decoys, scaffolds, super-enhancers, or repressors. These molecules can serve as phenotypic switches for GBM cells at the expression and/or epigenetic levels. LncRNAs can affect stemness/differentiation, proliferation, invasion, survival, DNA damage response, and chromatin dynamics. Aberrant expression of these transcripts may facilitate therapy resistance, leading to tumor recurrence. LncRNAs could serve as novel theragnostic or prognostic biomarkers in GBM and other cancers. RNA-based therapeutics may also be employed to target lncRNAs as a novel route of treatment for primary or recurrent GBM. In this review, we explore the roles of lncRNAs in GBM pathophysiology and posit their novel therapeutic potential for GBM.
Databáze: MEDLINE
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