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

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Bibliographic Details
Published in:	bioRxiv (Dec 12, 2024)
Main Author:	Lei, Jonathan T
Other Authors:	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
Published:	Cold Spring Harbor Laboratory Press
Subjects:	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 Access:	Citation/Abstract Full Text - PDF Full text outside of ProQuest
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