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

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Bibliografiske detaljer
Udgivet i:	bioRxiv (Dec 12, 2024)
Hovedforfatter:	Lei, Jonathan T
Andre forfattere:	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
Udgivet:	Cold Spring Harbor Laboratory Press
Fag:	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 adgang:	Citation/Abstract Full Text - PDF Full text outside of ProQuest
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