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

Previous studies from the Cancer Cell Line Encyclopedia (CCLE) project have adopted commercial pan-cancer cell line models to identify drug sensitivity biomarkers. However, drug sensitivity biomarkers in esophageal squamous cell carcinoma (ESCC) have not been widely explored. Here, eight patient-der...

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Autores principales: Su, Dan, Zhang, Dadong, Jin, Jiaoyue, Ying, Lisha, Han, Miao, Chen, Kaiyan, Li, Bin, Wu, Junzhou, Xie, Zhenghua, Zhang, Fanrong, Lin, Yihui, Cheng, Guoping, Li, Jing-Yu, Huang, Minran, Wang, Jinchao, Wang, Kailai, Zhang, Jianjun, Li, Fugen, Xiong, Lei, Futreal, Andrew, Mao, Weimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838071/
https://www.ncbi.nlm.nih.gov/pubmed/31700061
http://dx.doi.org/10.1038/s41467-019-12846-7
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author Su, Dan
Zhang, Dadong
Jin, Jiaoyue
Ying, Lisha
Han, Miao
Chen, Kaiyan
Li, Bin
Wu, Junzhou
Xie, Zhenghua
Zhang, Fanrong
Lin, Yihui
Cheng, Guoping
Li, Jing-Yu
Huang, Minran
Wang, Jinchao
Wang, Kailai
Zhang, Jianjun
Li, Fugen
Xiong, Lei
Futreal, Andrew
Mao, Weimin
author_facet Su, Dan
Zhang, Dadong
Jin, Jiaoyue
Ying, Lisha
Han, Miao
Chen, Kaiyan
Li, Bin
Wu, Junzhou
Xie, Zhenghua
Zhang, Fanrong
Lin, Yihui
Cheng, Guoping
Li, Jing-Yu
Huang, Minran
Wang, Jinchao
Wang, Kailai
Zhang, Jianjun
Li, Fugen
Xiong, Lei
Futreal, Andrew
Mao, Weimin
author_sort Su, Dan
collection PubMed
description Previous studies from the Cancer Cell Line Encyclopedia (CCLE) project have adopted commercial pan-cancer cell line models to identify drug sensitivity biomarkers. However, drug sensitivity biomarkers in esophageal squamous cell carcinoma (ESCC) have not been widely explored. Here, eight patient-derived cell lines (PDCs) are successfully established from 123 patients with ESCC. The mutation profiling of PDCs can partially recapture the tumor tissue actionable mutations from 161 patients with ESCC. Based on these mutations and relative pathways in eight PDCs, 46 targeted drugs are selected for screening. Interestingly, some drug and biomarker relationships are established that were not discovered in the CCLE project. For example, CDKN2A or CDKN2B loss is significantly associated with the sensitivity of CDK4/6 inhibitors. Furthermore, both PDC xenografts and patient-derived xenografts confirm CDKN2A/2B loss as a biomarker predictive of CDK4/6 inhibitor sensitivity. Collectively, patient-derived models could predict targeted drug sensitivity associated with actionable mutations in ESCC.
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spelling pubmed-68380712019-11-12 Identification of predictors of drug sensitivity using patient-derived models of esophageal squamous cell carcinoma Su, Dan Zhang, Dadong Jin, Jiaoyue Ying, Lisha Han, Miao Chen, Kaiyan Li, Bin Wu, Junzhou Xie, Zhenghua Zhang, Fanrong Lin, Yihui Cheng, Guoping Li, Jing-Yu Huang, Minran Wang, Jinchao Wang, Kailai Zhang, Jianjun Li, Fugen Xiong, Lei Futreal, Andrew Mao, Weimin Nat Commun Article Previous studies from the Cancer Cell Line Encyclopedia (CCLE) project have adopted commercial pan-cancer cell line models to identify drug sensitivity biomarkers. However, drug sensitivity biomarkers in esophageal squamous cell carcinoma (ESCC) have not been widely explored. Here, eight patient-derived cell lines (PDCs) are successfully established from 123 patients with ESCC. The mutation profiling of PDCs can partially recapture the tumor tissue actionable mutations from 161 patients with ESCC. Based on these mutations and relative pathways in eight PDCs, 46 targeted drugs are selected for screening. Interestingly, some drug and biomarker relationships are established that were not discovered in the CCLE project. For example, CDKN2A or CDKN2B loss is significantly associated with the sensitivity of CDK4/6 inhibitors. Furthermore, both PDC xenografts and patient-derived xenografts confirm CDKN2A/2B loss as a biomarker predictive of CDK4/6 inhibitor sensitivity. Collectively, patient-derived models could predict targeted drug sensitivity associated with actionable mutations in ESCC. Nature Publishing Group UK 2019-11-07 /pmc/articles/PMC6838071/ /pubmed/31700061 http://dx.doi.org/10.1038/s41467-019-12846-7 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Su, Dan
Zhang, Dadong
Jin, Jiaoyue
Ying, Lisha
Han, Miao
Chen, Kaiyan
Li, Bin
Wu, Junzhou
Xie, Zhenghua
Zhang, Fanrong
Lin, Yihui
Cheng, Guoping
Li, Jing-Yu
Huang, Minran
Wang, Jinchao
Wang, Kailai
Zhang, Jianjun
Li, Fugen
Xiong, Lei
Futreal, Andrew
Mao, Weimin
Identification of predictors of drug sensitivity using patient-derived models of esophageal squamous cell carcinoma
title Identification of predictors of drug sensitivity using patient-derived models of esophageal squamous cell carcinoma
title_full Identification of predictors of drug sensitivity using patient-derived models of esophageal squamous cell carcinoma
title_fullStr Identification of predictors of drug sensitivity using patient-derived models of esophageal squamous cell carcinoma
title_full_unstemmed Identification of predictors of drug sensitivity using patient-derived models of esophageal squamous cell carcinoma
title_short Identification of predictors of drug sensitivity using patient-derived models of esophageal squamous cell carcinoma
title_sort identification of predictors of drug sensitivity using patient-derived models of esophageal squamous cell carcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838071/
https://www.ncbi.nlm.nih.gov/pubmed/31700061
http://dx.doi.org/10.1038/s41467-019-12846-7
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