Precision Combination Therapies Based on Recurrent Oncogenic Coalterations.

Xubin LiElisabeth K DowlingGonghong YanZeynep DereliBehnaz BozorguiParisa ImaniradJacob H ElnaggarAugustin LunaDavid G MenterPatrick G Pilié Timothy Anthony YapScott KopetzChris Sander Anil Korkut

Published in: Cancer discovery (2022)

We developed the predictive bioinformatics platform REFLECT and a multiomics- based precision combination therapy resource. The REFLECT-selected therapies lead to significant improvements in efficacy and patient survival in preclinical and clinical settings. Use of REFLECT can optimize therapeutic benefit through selection of drug combinations tailored to molecular signatures of tumors. See related commentary by Pugh and Haibe-Kains, p. 1416. This article is highlighted in the In This Issue feature, p. 1397.

Keyphrases

combination therapy
machine learning
case report
deep learning
emergency department
cell therapy
genome wide
drug induced
gene expression
electronic health record