A new approach for prediction of tumor sensitivity to targeted drugs based on functional data

Noah Berlow, Lara Davis, Emma L. Cantor, Bernard Séguin, Charles Keller, Ranadip Pal

Research output: Contribution to journalArticle

27 Citations (Scopus)

Abstract

Background: The success of targeted anti-cancer drugs are frequently hindered by the lack of knowledge of the individual pathway of the patient and the extreme data requirements on the estimation of the personalized genetic network of the patient's tumor. The prediction of tumor sensitivity to targeted drugs remains a major challenge in the design of optimal therapeutic strategies. The current sensitivity prediction approaches are primarily based on genetic characterizations of the tumor sample. We propose a novel sensitivity prediction approach based on functional perturbation data that incorporates the drug protein interaction information and sensitivities to a training set of drugs with known targets.Results: We illustrate the high prediction accuracy of our framework on synthetic data generated from the Kyoto Encyclopedia of Genes and Genomes (KEGG) and an experimental dataset of four canine osteosarcoma tumor cultures following application of 60 targeted small-molecule drugs. We achieve a low leave one out cross validation error of

Original languageEnglish (US)
Article number239
JournalBMC Bioinformatics
Volume14
Issue number1
DOIs
StatePublished - Jul 29 2013

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Functional Data
Tumors
Tumor
Drugs
Prediction
Pharmaceutical Preparations
Neoplasms
Genes
Encyclopedias
Data Perturbation
Osteosarcoma
Drug Interactions
Genetic Network
Canidae
Synthetic Data
Optimal Strategy
Cross-validation
Genome
Pathway
Proteins

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Applied Mathematics
  • Structural Biology
  • Medicine(all)

Cite this

A new approach for prediction of tumor sensitivity to targeted drugs based on functional data. / Berlow, Noah; Davis, Lara; Cantor, Emma L.; Séguin, Bernard; Keller, Charles; Pal, Ranadip.

In: BMC Bioinformatics, Vol. 14, No. 1, 239, 29.07.2013.

Research output: Contribution to journalArticle

Berlow, Noah ; Davis, Lara ; Cantor, Emma L. ; Séguin, Bernard ; Keller, Charles ; Pal, Ranadip. / A new approach for prediction of tumor sensitivity to targeted drugs based on functional data. In: BMC Bioinformatics. 2013 ; Vol. 14, No. 1.
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