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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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2018-08-01
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Series: | Frontiers in Oncology |
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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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id | doaj.art-7cf7e39c8d1d4e88863161e9e42751c2 |
institution | Directory Open Access Journal |
issn | 2234-943X |
language | English |
last_indexed | 2024-04-13T02:52:21Z |
publishDate | 2018-08-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Oncology |
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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