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Title 

Relationships between genetic polymorphisms and transcriptional profiles for outcome prediction in anticancer agent treatment

Authors 

Hyojung PaikE LeeD Lee

Publisher 

Korean Society for Biochemistry and Molecular Biology

Issue Date 

2010

Citation 

BMB Reports, vol. 43, no. 12, pp. 836-841

Keywords 

Anticancer agentsDrug responseIndividual variationPrediction modelRelationship

Abstract 

In the era of personal genomics, predicting the individual response to drug-treatment is a challenge of biomedical research. The aim of this study was to validate whether interaction information between genetic and transcriptional signatures are promising features to predict a drug response. Because drug resistance/susceptibilities result from the complex associations of genetic and transcriptional activities, we predicted the inter-relationships between genetic and transcriptional signatures. With this concept, captured genetic polymorphisms and transcriptional profiles were prepared in cancer samples. By splitting ninety-nine samples into a trial set (n = 30) and a test set (n = 69), the outperformance of relationship-focused model (0.84 of area under the curve in trial set, P = 2.90 × 10-4) was presented in the trial set and validated in the test set, respectively. The prediction results of modeling show that considering the relationships between genetic and transcriptional features is an effective approach to determine outcome predictions of drug-treatment.

ISSN 

1976-6696

Link 

http://dx.doi.org/10.5483/BMBRep.2010.43.12.836

Appears in Collections

1. Journal Articles > Journal Articles

Registered Date

2019-05-02


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