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dc.contributor.author Kubisch J
dc.contributor.author Türei, Dénes
dc.contributor.author Földvári-Nagy, László
dc.contributor.author Dunai ZA
dc.contributor.author Zsakai L
dc.contributor.author Varga, Máté
dc.contributor.author Vellai, Tibor
dc.contributor.author Csermely, Péter
dc.contributor.author Korcsmáros, Tamás
dc.date.accessioned 2017-01-25T14:59:47Z
dc.date.available 2017-01-25T14:59:47Z
dc.date.issued 2013
dc.identifier 84881096274
dc.identifier.citation pagination=252-261; journalVolume=23; journalIssueNumber=4; journalTitle=SEMINARS IN CANCER BIOLOGY;
dc.identifier.uri http://repo.lib.semmelweis.hu//handle/123456789/2469
dc.identifier.uri doi:10.1016/j.semcancer.2013.06.009
dc.description.abstract Autophagy, a highly regulated self-degradation process of eukaryotic cells, is a context-dependent tumor-suppressing mechanism that can also promote tumor cell survival upon stress and treatment resistance. Because of this ambiguity, autophagy is considered as a double-edged sword in oncology, making anti-cancer therapeutic approaches highly challenging. In this review, we present how systems-level knowledge on autophagy regulation can help to develop new strategies and efficiently select novel anti-cancer drug targets. We focus on the protein interactors and transcriptional/post-transcriptional regulators of autophagy as the protein and regulatory networks significantly influence the activity of core autophagy proteins during tumor progression. We list several network resources to identify interactors and regulators of autophagy proteins. As in silico analysis of such networks often necessitates experimental validation, we briefly summarize tractable model organisms to examine the role of autophagy in cancer. We also discuss fluorescence techniques for high-throughput monitoring of autophagy in humans. Finally, the challenges of pharmacological modulation of autophagy are reviewed. We suggest network-based concepts to overcome these difficulties. We point out that a context-dependent modulation of autophagy would be favored in anti-cancer therapy, where autophagy is stimulated in normal cells, while inhibited only in stressed cancer cells. To achieve this goal, we introduce the concept of regulo-network drugs targeting specific transcription factors or miRNA families identified with network analysis. The effect of regulo-network drugs propagates indirectly through transcriptional or post-transcriptional regulation of autophagy proteins, and, as a multi-directional intervention tool, they can both activate and inhibit specific proteins in the same time. The future identification and validation of such regulo-network drug targets may serve as novel intervention points, where autophagy can be effectively modulated in cancer therapy.
dc.relation.ispartof urn:issn:1044-579X
dc.title Complex regulation of autophagy in cancer - integrated approaches to discover the networks that hold a double-edged sword
dc.type Journal Article
dc.date.updated 2015-11-20T13:00:57Z
dc.language.rfc3066 en
dc.identifier.mtmt 2351953
dc.identifier.wos 000323455900007
dc.identifier.pubmed 23810837
dc.contributor.department ELTE/TTK/Biológiai Intézet
dc.contributor.department ELTE/TTK/KI/Analitikai Kémiai Tanszék
dc.contributor.department SE/AOK/I/Orvosi Vegytani, Molekuláris Biológiai és Patobiokémiai Intézet
dc.contributor.institution Eötvös Loránd Tudományegyetem
dc.contributor.institution Semmelweis Egyetem


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