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공공누리This item is licensed Korea Open Government License

Title
Association analysis of the perturbation of interactions in biological pathways and anticancer drug activity
Author(s)
이준학이도헌
Publication Year
2016-01-29
Abstract
Understanding how different genomic mutational landscapes in patients with cancer lead to different responses to anticancer drugs is an important challenge for realizing precision medicine for cancer. Many studies have analyzed the comprehensive anticancer drug-response profiles and genomic profiles of cancer cell lines to identify the relationship between the anticancer drug response and genomic alternations. However, few studies have focused on interpreting these profiles with a network perspective. In this work, we analyzed genomic alterations in cancer cell lines by considering which interactions in the signaling pathway were perturbed by mutations. With our interaction-centric approach, we identified novel interaction/drug response associations for two drugs (afatinib and ixabepilone) for which no gene-centric association could be found. When we compared the performance of classifiers for predicting the responses to 164 drugs, the classifiers trained with interaction-centric features outperformed the classifiers trained with gene-centric features, despite the smaller number of features (p-value = 2.0 × 10−3). By incorporating the interaction information from signaling pathways, we revealed associations between genomic alterations and drug responses that could be missed when using a gene-centric approach.
Keyword
Drug response prediction; signaling pathway; domain-domain interaction; precision medicine
Journal Title
Biochemical and Biophysical Research Communications
Citation Volume
470
ISSN
0006-291X
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Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
URI
https://repository.kisti.re.kr/handle/10580/14496
http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=NART74852159
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