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Identification of predictors of drug sensitivity using patient-derived models of esophageal squamous cell carcinoma

Authors :
Dan Su
Dadong Zhang
Jiaoyue Jin
Lisha Ying
Miao Han
Kaiyan Chen
Bin Li
Junzhou Wu
Zhenghua Xie
Fanrong Zhang
Yihui Lin
Guoping Cheng
Jing-Yu Li
Minran Huang
Jinchao Wang
Kailai Wang
Jianjun Zhang
Fugen Li
Lei Xiong
Andrew Futreal
Weimin Mao
Source :
Nature Communications, Vol 10, Iss 1, Pp 1-13 (2019)
Publication Year :
2019
Publisher :
Nature Portfolio, 2019.

Abstract

Predicting the drug response of patients with cancer is crucial for implementing targeted therapy. Here, Su et al. make patient-derived cell lines and perform targeted sequencing and RNA-seq to identify CDKN2A/2B loss as a predictor of response to CDK4/6 inhibitors in esophageal squamous cell carcinoma.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
10
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.03e2472bfffe4d77bb873151b95d70ea
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-019-12846-7