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Multiplex gene quantification as digital markers for extremely rapid evaluation of chemo-drug sensitivity.
Fan, Jiaqi; Feng, Yilin; Cheng, Yifan; Wang, Zitian; Zhao, Haoran; Galan, Edgar A; Liao, Quanxing; Cui, Shuzhong; Zhang, Weijie; Ma, Shaohua.
Afiliação
  • Fan J; Tsinghua University, Shenzhen International Graduate School (SIGS), Shenzhen 518055, China.
  • Feng Y; Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen 518055, China.
  • Cheng Y; Institute for Brain and Cognitive Sciences (THUIBCS), Tsinghua University, Beijing 100084, China.
  • Wang Z; Tsinghua University, Shenzhen International Graduate School (SIGS), Shenzhen 518055, China.
  • Zhao H; Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen 518055, China.
  • Galan EA; Tsinghua University, Shenzhen International Graduate School (SIGS), Shenzhen 518055, China.
  • Liao Q; Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen 518055, China.
  • Cui S; Tsinghua University, Shenzhen International Graduate School (SIGS), Shenzhen 518055, China.
  • Zhang W; Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen 518055, China.
  • Ma S; Tsinghua University, Shenzhen International Graduate School (SIGS), Shenzhen 518055, China.
Patterns (N Y) ; 2(10): 100360, 2021 Oct 08.
Article em En | MEDLINE | ID: mdl-34693378
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Patterns (N Y) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Patterns (N Y) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China