Patient-Derived Xenografts of Triple-Negative Breast Cancer Enable Deconvolution and Prediction of Chemotherapy Responses

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Библиографические подробности
Опубликовано в::	bioRxiv (Dec 12, 2024)
Главный автор:	Lei, Jonathan T
Другие авторы:	Dobrolecki, Lacey E, Huang, Chen, Srinivasan, Ramakrishnan R, Vasaikar, Suhas V, Lewis, Alaina N, Sallas, Christina, Zhao, Na, Cao, Jin, Landua, John D, Chang In Moon, Liao, Yuxing, Hilsenbeck, Susan G, Osborne, C Kent, Rimawi, Mothaffar F, Ellis, Matthew J, Petrosyan, Varduhi, Wen, Bo, Li, Kai, Saltzman, Alexander B, Jain, Antrix, Malovannaya, Anna, Wulf, Gerburg M, Marangoni, Elisabetta, Li, Shunqiang, Kraushaar, Daniel C, Wang, Tao, Damodaran, Senthil, Zheng, Xiaofeng, Meric-Bernstam, Funda, Echeverria, Gloria V, Meenakshi Anurag, Chen, Xi, Welm, Bryan E, Welm, Alana L, Zhang, Bing, Lewis, Michael T
Опубликовано:	Cold Spring Harbor Laboratory Press
Предметы:	AstraZeneca AbbVie Inc Pfizer Inc Envigo Seattle Genetics Inc Antagonism Models Experimental research Cancer therapies Cytokeratin Biotechnology Oncology Disease management Breast cancer Transcriptomics Proteomics Royalties Histone deacetylase Stockholders Biomarkers Research funding Licenses Carboplatin Chemotherapy Patients Chemoresistance Fees & charges Xenografts
Online-ссылка:	Citation/Abstract Full Text - PDF Full text outside of ProQuest
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