2. Academic Validation
  3. Multiplex gene quantification as digital markers for extremely rapid evaluation of chemo-drug sensitivity

Multiplex gene quantification as digital markers for extremely rapid evaluation of chemo-drug sensitivity

  • Patterns (N Y). 2021 Sep 29;2(10):100360. doi: 10.1016/j.patter.2021.100360.
Jiaqi Fan 1 2 3,  Yilin Feng 1 2,  Yifan Cheng 1 2,  Zitian Wang 1 2,  Haoran Zhao 1 2,  Edgar A Galan 1 2,  Quanxing Liao 4,  Shuzhong Cui 4,  Weijie Zhang 5,  Shaohua Ma 1 2 3
Affiliations

Affiliations

  • 1 Tsinghua University, Shenzhen International Graduate School (SIGS), Shenzhen 518055, China.
  • 2 Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen 518055, China.
  • 3 Institute for Brain and Cognitive Sciences (THUIBCS), Tsinghua University, Beijing 100084, China.
  • 4 Department of Abdominal Surgery, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou 510095, China.
  • 5 Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
PMID: 34693378 DOI: 10.1016/j.patter.2021.100360
Abstract

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.

Keywords

chemo-drug; digital marker; extremely rapid evaluation; multiplex gene quantification; personalized cancer medicine.

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