title: A New Drug Combinatory Effect Prediction Algorithm on the Cancer Cell Based on Gene Expression and Dose-Response Curve.
abstract: Gene expression data before and after treatment with an individual drug and the IC20 of dose-response data were utilized to predict two drugs' interaction effects on a diffuse large B-cell lymphoma (DLBCL) cancer cell. A novel drug interaction scoring algorithm was developed to account for either synergistic or antagonistic effects between drug combinations. Different core gene selection schemes were investigated, which included the whole gene set, the drug-sensitive gene set, the drug-sensitive minus drug-resistant gene set, and the known drug target gene set. The prediction scores were compared with the observed drug interaction data at 6, 12, and 24 hours with a probability concordance (PC) index. The test result shows the concordance between observed and predicted drug interaction ranking reaches a PC index of 0.605. The scoring reliability and efficiency was further confirmed in five drug interaction studies published in the GEO database.
authors.affiliation: Molecular Lab, Thomas Jefferson University Hospitals Philadelphia, Pennsylvania, USA.
authors.forename: C Pankaj
authors.initials: CP
authors.lastname: Goswami
authors.affiliation: Centers for Computational Biology and Bioinformatics, School of Medicine, Indiana University Indianapolis, Indiana, USA ; Department of Medical and Molecular Genetics, School of Medicine, Indiana University Indianapolis, Indiana, USA ; State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute Shanghai, China.
authors.forename: L
authors.initials: L
authors.lastname: Cheng
authors.affiliation: Centers for Computational Biology and Bioinformatics, School of Medicine, Indiana University Indianapolis, Indiana, USA.
authors.forename: P S
authors.initials: PS
authors.lastname: Alexander
authors.affiliation: Centers for Computational Biology and Bioinformatics, School of Medicine, Indiana University Indianapolis, Indiana, USA.
authors.forename: A
authors.initials: A
authors.lastname: Singal
authors.affiliation: Centers for Computational Biology and Bioinformatics, School of Medicine, Indiana University Indianapolis, Indiana, USA ; Department of Medical and Molecular Genetics, School of Medicine, Indiana University Indianapolis, Indiana, USA.
authors.forename: L
authors.initials: L
authors.lastname: Li