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