Systematic analysis of genotype-specific drug responses in cancer
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Nayoung | - |
dc.contributor.author | He, Ningning | - |
dc.contributor.author | Kim, Changsik | - |
dc.contributor.author | Zhang, Fan | - |
dc.contributor.author | Lu, Yiling | - |
dc.contributor.author | Yu, Qinghua | - |
dc.contributor.author | Stemke-Hale, Katherine | - |
dc.contributor.author | Greshock, Joel | - |
dc.contributor.author | Wooster, Richard | - |
dc.contributor.author | Yoon, Sukjoon | - |
dc.contributor.author | Mills, Gordon B. | - |
dc.date.available | 2021-02-22T12:32:51Z | - |
dc.date.issued | 2012-11 | - |
dc.identifier.issn | 0020-7136 | - |
dc.identifier.issn | 1097-0215 | - |
dc.identifier.uri | https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/11816 | - |
dc.description.abstract | A systematic understanding of genotype-specific sensitivity or resistance to anticancer agents is required to provide improved patient therapy. The availability of an expansive panel of annotated cancer cell lines enables comparative surveys of associations between genotypes and compounds of various target classes. Thus, one can better predict the optimal treatment for a specific tumor. Here, we present a statistical framework, cell line enrichment analysis (CLEA), to associate the response of anticancer agents with major cancer genotypes. Multilevel omics data, including transcriptome, proteome and phosphatome data, were integrated with drug data based on the genotypic classification of cancer cell lines. The results reproduced known patterns of compound sensitivity associated with particular genotypes. In addition, this approach reveals multiple unexpected associations between compounds and mutational genotypes. The mutational genotypes led to unique protein activation and gene expression signatures, which provided a mechanistic understanding of their functional effects. Furthermore, CLEA maps revealed interconnections between TP53 mutations and other mutations in the context of drug responses. The TP53 mutational status appears to play a dominant role in determining clustering patterns of gene and protein expression profiles for major cancer genotypes. This study provides a framework for the integrative analysis of mutations, drug responses and omics data in cancers. | - |
dc.format.extent | 9 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | WILEY | - |
dc.title | Systematic analysis of genotype-specific drug responses in cancer | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1002/ijc.27529 | - |
dc.identifier.scopusid | 2-s2.0-84867070656 | - |
dc.identifier.wosid | 000309185300027 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF CANCER, v.131, no.10, pp 2456 - 2464 | - |
dc.citation.title | INTERNATIONAL JOURNAL OF CANCER | - |
dc.citation.volume | 131 | - |
dc.citation.number | 10 | - |
dc.citation.startPage | 2456 | - |
dc.citation.endPage | 2464 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | sci | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Oncology | - |
dc.relation.journalWebOfScienceCategory | Oncology | - |
dc.subject.keywordPlus | SELECTIVE KINASE INHIBITORS | - |
dc.subject.keywordPlus | SENSITIVITY | - |
dc.subject.keywordPlus | MUTATIONS | - |
dc.subject.keywordPlus | PHARMACOGENOMICS | - |
dc.subject.keywordPlus | PREDICTION | - |
dc.subject.keywordPlus | LEUKEMIA | - |
dc.subject.keywordPlus | PIK3CA | - |
dc.subject.keywordAuthor | drug sensitivity and resistance | - |
dc.subject.keywordAuthor | cancer cell line modeling | - |
dc.subject.keywordAuthor | cancer genotype | - |
dc.subject.keywordAuthor | reverse phase protein assay | - |
dc.subject.keywordAuthor | network analysis | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Sookmyung Women's University. Cheongpa-ro 47-gil 100 (Cheongpa-dong 2ga), Yongsan-gu, Seoul, 04310, Korea02-710-9127
Copyright©Sookmyung Women's University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.