biostudies-literatureUnknown2(10)Fan JCurrent administrations for precision drug uses are limited in evaluation speed. Here, we propose the use of multiplex gene-based digital markers for the extremely rapid personalized prediction of individual sensitivity to cancer drugs. We first screen the transcriptional profiles by applying two to three gene filters and scoring genes by their impact on drug sensitivity and finalize the gene lists by K-nearest neighbors cross-validation. The digital markers are cancer type dependent, are composed of tens to hundreds of gene expressions, and are rapidly quantified by reverse transcription quantitative real-time PCR (qRT-PCR) within 1-3 h after tumor sampling. The area under the receiver operating characteristic curve reached 0.88 when testing the performance of digital markers on organoidsPatterns (New York, N.Y.)100360https://www.ebi.ac.uk/biostudies/studies/S-EPMC8515010biostudies-literatureMultiplex gene quantification as digital markers for extremely rapid evaluation of chemo-drug sensitivity.PMC8515010Zhang WMa SFan JFeng YGalan EALiao QCui SWang ZCheng YZhao HfalseMultiplex gene quantification as digital markers for extremely rapid evaluation of chemo-drug sensitivity.Current administrations for precision drug uses are limited in evaluation speed. Here, we propose the use of multiplex gene-based digital markers for the extremely rapid personalized prediction of individual sensitivity to cancer drugs. We first screen the transcriptional profiles by applying two to three gene filters and scoring genes by their impact on drug sensitivity and finalize the gene lists by K-nearest neighbors cross-validation. The digital markers are cancer type dependent, are composed of tens to hundreds of gene expressions, and are rapidly quantified by reverse transcription quantitative real-time PCR (qRT-PCR) within 1-3 h after tumor sampling. The area under the receiver operating characteristic curve reached 0.88 when testing the performance of digital markers on organoids2021-01-01T00:00:00Z2021 Oct2025-04-26T02:00:03.159Z2025-04-06T10:18:11.74ZS-EPMC85150103469337810.1016/j.patter.2021.100360