Prioritization of anticancer drugs against a cancer using genomic features of cancer cells: A step towards personalized medicine.

Gupta, Sudheer and Chaudhary, Kumardeep and Kumar, Rahul and Gautam, Ankur and Nanda, Jagpreet Singh and Dhanda, Sandeep Kumar and Brahmachari, Samir Kumar and Raghava, G.P.S. (2016) Prioritization of anticancer drugs against a cancer using genomic features of cancer cells: A step towards personalized medicine. Scientific reports, 6. p. 23857. ISSN 2045-2322

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Abstract

In this study, we investigated drug profile of 24 anticancer drugs tested against a large number of cell lines in order to understand the relation between drug resistance and altered genomic features of a cancer cell line. We detected frequent mutations, high expression and high copy number variations of certain genes in both drug resistant cell lines and sensitive cell lines. It was observed that a few drugs, like Panobinostat, are effective against almost all types of cell lines, whereas certain drugs are effective against only a limited type of cell lines. Tissue-specific preference of drugs was also seen where a drug is more effective against cell lines belonging to a specific tissue. Genomic features based models have been developed for each anticancer drug and achieved average correlation between predicted and actual growth inhibition of cell lines in the range of 0.43 to 0.78. We hope, our study will throw light in the field of personalized medicine, particularly in designing patient-specific anticancer drugs. In order to serve the scientific community, a webserver, CancerDP, has been developed for predicting priority/potency of an anticancer drug against a cancer cell line using its genomic features (http://crdd.osdd.net/raghava/cancerdp/).

Item Type:	Article
Additional Information:	Open Access
Uncontrolled Keywords:	Cancer genomicsComputational platforms and environmentsMachine learning
Subjects:	Q Science > QR Microbiology
Depositing User:	Dr. K.P.S.Sengar
Date Deposited:	29 Sep 2016 10:34
Last Modified:	29 Sep 2016 10:34
URI:	http://crdd.osdd.net/open/id/eprint/1870

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