Deciphering Drug Action and Escape Pathways: An Example on Nasopharyngeal Carcinoma

Authors:
Difeng Dong;Chun-Ying Cui;Benjamin Mow;Limsoon Wong
Affiliations:
National University of Singapore, Singapore;Capital Medical University, China;West Clinic Excellence Cancer Center, Singapore;National University of Singapore, Singapore
Venue:
BICoB '09 Proceedings of the 1st International Conference on Bioinformatics and Computational Biology
Year:
2009

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Abstract

We have designed a drug pathway identification system, which we called Drug Pathway Decipherer, to generate hypotheses on drug treatment responsive pathway. Decipherer takes in both pre- and post- treatment gene expression data, and evaluates known biological pathways against the data. We applied Decipherer to two gene expression datasets of human nasopharyngeal carcinoma treated with CYC202. Results show that the identified RAS-ERK pathway and PI3K-NFκB-IAP pathway are closely associated with treatment outcome. Decipherer is implemented in Java, and it is available together with supplementary material at http://www.comp.nus.edu.sg/~wongls/projects/drug-pathway