Modulation of non-coding RNAs by resveratrol in ovarian cancer cells: In silico analysis and literature review of the anti-cancer pathways involved

Journal of Traditional and Complementary Medicine
Letizia VallinoCiro Isidoro

Abstract

Non-coding RNAs control cell functioning through affecting gene expression and translation and their dysregulation is associated with altered cell homeostasis and diseases, including cancer. Nutraceuticals with anti-cancer therapeutic potential have been shown to modulate non-coding RNAs expression that could impact on the expression of genes involved in the malignant phenotype. Here, we report on the microarray profiling of microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) and on the associated biochemical pathways and functional processes potentially modulated in OVCAR-3 ovarian cancer cells exposed for 24 h to Resveratrol (RV), a nutraceutical that has been shown to inhibit carcinogenesis and cancer progression in a variety of human and animal models, both in vitro and in vivo. Diana tools and Gene Ontology (GO) pathway analyses along with Pubmed literature search were employed to identify the cellular processes possibly affected by the dysregulated miRNAs and lncRNAs. The present data consistently support the contention that RV could exert anti-neoplastic activity via non-coding RNAs epigenetic modulation of the pathways governing cell homeostasis, cell proliferation, cell death and cell motility.

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Citations

Dec 29, 2020·Frontiers in Oncology·Alessandra FerraresiCiro Isidoro
Jun 9, 2021·Phytotherapy Research : PTR·Alexander V Sirotkin
Nov 17, 2021·Critical Reviews in Food Science and Nutrition·Mina HomayoonfalBahman Yousefi

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Methods Mentioned

BETA
Feature Extraction

Software Mentioned

CDS
TargetScan
DIANA TOOLS
DIANA
Feature Extraction
mirPath
Linear Models for Microarray Analysis ( LIMMA )
LIMMA
R
Bioconductor

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