The Network of Non-coding RNAs in Cancer Drug Resistance

Non-coding RNAs (ncRNAs) have been implicated in most cellular functions. The disruption of their function through somatic mutations, genomic imprinting, transcriptional and post-transcriptional regulation, plays an ever-increasing role in cancer development. ncRNAs, including notorious microRNAs, h...

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Main Authors: Fabio Corrà, Chiara Agnoletto, Linda Minotti, Federica Baldassari, Stefano Volinia
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-08-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2018.00327/full
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author Fabio Corrà
Chiara Agnoletto
Linda Minotti
Federica Baldassari
Stefano Volinia
author_facet Fabio Corrà
Chiara Agnoletto
Linda Minotti
Federica Baldassari
Stefano Volinia
author_sort Fabio Corrà
collection DOAJ
description Non-coding RNAs (ncRNAs) have been implicated in most cellular functions. The disruption of their function through somatic mutations, genomic imprinting, transcriptional and post-transcriptional regulation, plays an ever-increasing role in cancer development. ncRNAs, including notorious microRNAs, have been thus proposed to function as tumor suppressors or oncogenes, often in a context-dependent fashion. In parallel, ncRNAs with altered expression in cancer have been reported to exert a key role in determining drug sensitivity or restoring drug responsiveness in resistant cells. Acquisition of resistance to anti-cancer drugs is a major hindrance to effective chemotherapy and is one of the most important causes of relapse and mortality in cancer patients. For these reasons, non-coding RNAs have become recent focuses as prognostic agents and modifiers of chemo-sensitivity. This review starts with a brief outline of the role of most studied non-coding RNAs in cancer and then highlights the modulation of cancer drug resistance via known ncRNAs based mechanisms. We identified from literature 388 ncRNA-drugs interactions and analyzed them using an unsupervised approach. Essentially, we performed a network analysis of the non-coding RNAs with direct relations with cancer drugs. Within such a machine-learning framework we detected the most representative ncRNAs-drug associations and groups. We finally discussed the higher integration of the drug-ncRNA clusters with the goal of disentangling effectors from downstream effects and further clarify the involvement of ncRNAs in the cellular mechanisms underlying resistance to cancer treatments.
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spelling doaj.art-7cf7e39c8d1d4e88863161e9e42751c22022-12-22T03:05:48ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2018-08-01810.3389/fonc.2018.00327404102The Network of Non-coding RNAs in Cancer Drug ResistanceFabio CorràChiara AgnolettoLinda MinottiFederica BaldassariStefano VoliniaNon-coding RNAs (ncRNAs) have been implicated in most cellular functions. The disruption of their function through somatic mutations, genomic imprinting, transcriptional and post-transcriptional regulation, plays an ever-increasing role in cancer development. ncRNAs, including notorious microRNAs, have been thus proposed to function as tumor suppressors or oncogenes, often in a context-dependent fashion. In parallel, ncRNAs with altered expression in cancer have been reported to exert a key role in determining drug sensitivity or restoring drug responsiveness in resistant cells. Acquisition of resistance to anti-cancer drugs is a major hindrance to effective chemotherapy and is one of the most important causes of relapse and mortality in cancer patients. For these reasons, non-coding RNAs have become recent focuses as prognostic agents and modifiers of chemo-sensitivity. This review starts with a brief outline of the role of most studied non-coding RNAs in cancer and then highlights the modulation of cancer drug resistance via known ncRNAs based mechanisms. We identified from literature 388 ncRNA-drugs interactions and analyzed them using an unsupervised approach. Essentially, we performed a network analysis of the non-coding RNAs with direct relations with cancer drugs. Within such a machine-learning framework we detected the most representative ncRNAs-drug associations and groups. We finally discussed the higher integration of the drug-ncRNA clusters with the goal of disentangling effectors from downstream effects and further clarify the involvement of ncRNAs in the cellular mechanisms underlying resistance to cancer treatments.https://www.frontiersin.org/article/10.3389/fonc.2018.00327/fullnon-coding RNAschemoresistancedrug sensitivitymiRNAlncRNAcancer
spellingShingle Fabio Corrà
Chiara Agnoletto
Linda Minotti
Federica Baldassari
Stefano Volinia
The Network of Non-coding RNAs in Cancer Drug Resistance
Frontiers in Oncology
non-coding RNAs
chemoresistance
drug sensitivity
miRNA
lncRNA
cancer
title The Network of Non-coding RNAs in Cancer Drug Resistance
title_full The Network of Non-coding RNAs in Cancer Drug Resistance
title_fullStr The Network of Non-coding RNAs in Cancer Drug Resistance
title_full_unstemmed The Network of Non-coding RNAs in Cancer Drug Resistance
title_short The Network of Non-coding RNAs in Cancer Drug Resistance
title_sort network of non coding rnas in cancer drug resistance
topic non-coding RNAs
chemoresistance
drug sensitivity
miRNA
lncRNA
cancer
url https://www.frontiersin.org/article/10.3389/fonc.2018.00327/full
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