Cancer reversion, a renewed challenge in systems biology

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dc.contributor.authorCho, Kwang-Hyunko
dc.contributor.authorLee, Soobeomko
dc.contributor.authorKim, Dongsanko
dc.contributor.authorShin, Dongkwanko
dc.contributor.authorJoo, Jae Ilko
dc.contributor.authorPark, Sang-Minko
dc.date.accessioned2017-10-23T01:31:22Z-
dc.date.available2017-10-23T01:31:22Z-
dc.date.created2017-06-21-
dc.date.created2017-06-21-
dc.date.created2017-06-21-
dc.date.issued2017-04-
dc.identifier.citationCurrent Opinion in Systems Biology, v.2, pp.49 - 58-
dc.identifier.issn2452-3100-
dc.identifier.urihttp://hdl.handle.net/10203/226326-
dc.description.abstractCancer is a complex disease for which conventional therapeutic approaches often encounter a fundamental limitation. As an alternative approach, there is a renewed challenge in systems biology for cancer reversion by converting cancer cells into normal cells. Historically, such reversion has been observed sporadically, but no systems analysis has been attempted so far. We review the phenomenal observations of cancer reversion in history and introduce two relevant systems biological approaches based on molecular network modeling. We further introduce the recent development of network control strategies that can be used to identify useful molecular targets for cancer reversion and then discuss future challenges in systems biology.-
dc.languageEnglish-
dc.publisherElsevier Ltd-
dc.subjectAPC protein-
dc.subjectBCR ABL protein-
dc.subjectCCAAT enhancer binding protein beta-
dc.subjectcell protein-
dc.subjectDNA-
dc.subjectepidermal growth factor-
dc.subjectfloxuridine-
dc.subjecthistone deacetylase-
dc.subjecthistone deacetylase inhibitor-
dc.subjectMyc protein-
dc.subjectoctamer transcription factor 4-
dc.subjectperoxisome proliferator activated receptor gamma-
dc.subjectprotein Krev 1-
dc.subjectprotein MDM2-
dc.subjectprotein p53-
dc.subjectprotein SIAH1-
dc.subjectprotein TCTP-
dc.subjectprotein tpt1-
dc.subjectprotein Wip1-
dc.subjectretinoic acid-
dc.subjectSTAT3 protein-
dc.subjecttranscription factor Sox2-
dc.subjecttransforming growth factor beta-
dc.subjectunclassified drug-
dc.subjectWnt protein-
dc.subjectaneuploidy-
dc.subjectantineoplastic activity-
dc.subjectapoptosis-
dc.subjectB cell leukemia-
dc.subjectblastocyst-
dc.subjectbreast cancer-
dc.subjectcancer reversion-
dc.subjectcancer therapy-
dc.subjectcarcinogenesis-
dc.subjectcarcinogenicity-
dc.subjectcell cycle arrest-
dc.subjectcell differentiation-
dc.subjectcell nucleus transplantation-
dc.subjectcell proliferation-
dc.subjectcell self-renewal-
dc.subjectdata-driven statistical network model-
dc.subjectdisease course-
dc.subjectDNA damage-
dc.subjectembryonal carcinoma-
dc.subjectembryonic microenvironment-
dc.subjectepigenetics-
dc.subjectextracellular matrix-
dc.subjectgene amplification-
dc.subjectgene expression-
dc.subjectgene regulatory network-
dc.subjectgene targeting-
dc.subjectgerm cell-
dc.subjectglioblastoma-
dc.subjectH-1 parvovirus-
dc.subjecthuman-
dc.subjectintestine carcinoma-
dc.subjectleukemia remission-
dc.subjectmechanism-based logical network model-
dc.subjectmetabolome-
dc.subjectmolecular regulatory network-
dc.subjectnegative feedback-
dc.subjectnonhuman-
dc.subjectnuclear reprogramming-
dc.subjectoncogene-
dc.subjectoncogene addiction-
dc.subjectovary teratoma-
dc.subjectphenotype-
dc.subjectplant tumor-
dc.subjectpluripotent stem cell-
dc.subjectpositive feedback-
dc.subjectpromyelocytic leukemia-
dc.subjectprotein expression-
dc.subjectprotein function-
dc.subjectrevertant-
dc.subjectReview-
dc.subjectRous sarcoma virus-
dc.subjectsarcoma-
dc.subjectsignal transduction-
dc.subjectsomatic mutation-
dc.subjectstatistical model-
dc.subjectsystems biology-
dc.subjectteratocarcinoma-
dc.subjecttumor microenvironment-
dc.titleCancer reversion, a renewed challenge in systems biology-
dc.typeArticle-
dc.identifier.scopusid2-s2.0-85017159635-
dc.type.rimsART-
dc.citation.volume2-
dc.citation.beginningpage49-
dc.citation.endingpage58-
dc.citation.publicationnameCurrent Opinion in Systems Biology-
dc.identifier.doi10.1016/j.coisb.2017.01.005-
dc.contributor.localauthorCho, Kwang-Hyun-
dc.contributor.nonIdAuthorLee, Soobeom-
dc.description.isOpenAccessN-
dc.type.journalArticleReview-
dc.subject.keywordAuthorCancer reversion-
dc.subject.keywordAuthorData-driven network modeling-
dc.subject.keywordAuthorMechanism-based network modeling-
dc.subject.keywordAuthorNetwork control-
dc.subject.keywordAuthorSystems biology-
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BiS-Journal Papers(저널논문)
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