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Multiplex gene quantification as digital markers for extremely rapid evaluation of chemo-drug sensitivity
Author(s) -
Jiaqi Fan,
Yilin Feng,
Yifan Cheng,
Zitian Wang,
Haoran Zhao,
Edgar A. Galan,
Quanxing Liao,
Shuzhong Cui,
Weijie Zhang,
Shaohua Ma
Publication year - 2021
Publication title -
patterns
Language(s) - English
Resource type - Journals
ISSN - 2666-3899
DOI - 10.1016/j.patter.2021.100360
Subject(s) - multiplex , sensitivity (control systems) , drug , computational biology , medicine , biology , genetics , pharmacology , engineering , electronic engineering
Summary 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 organoids derived from colorectal cancer patient tumors. The algorithm and corresponding graphic user interface were developed to demonstrate the promise of digital markers for extremely rapid drug recommendation.

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