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Title: Molecular predictors of therapeutic response to specific anti-cancer agents

Abstract

Herein is described the use of a collection of 50 breast cancer cell lines to match responses to 77 conventional and experimental therapeutic agents with transcriptional, proteomic and genomic subtypes found in primary tumors. Almost all compounds produced strong differential responses across the cell lines produced responses that were associated with transcriptional and proteomic subtypes and produced responses that were associated with recurrent genome copy number abnormalities. These associations can now be incorporated into clinical trials that test subtype markers and clinical responses simultaneously.

Inventors:
; ; ; ; ; ;
Issue Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1333733
Patent Number(s):
9,506,926
Application Number:
13/401,780
Assignee:
The Regents of the University of California (Oakland, CA)
DOE Contract Number:  
AC02-05CH11231
Resource Type:
Patent
Resource Relation:
Patent File Date: 2012 Feb 21
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; 60 APPLIED LIFE SCIENCES

Citation Formats

Spellman, Paul T., Gray, Joe W., Sadanandam, Anguraj, Heiser, Laura M., Gibb, William J., Kuo, Wen-lin, and Wang, Nicholas J. Molecular predictors of therapeutic response to specific anti-cancer agents. United States: N. p., 2016. Web.
Spellman, Paul T., Gray, Joe W., Sadanandam, Anguraj, Heiser, Laura M., Gibb, William J., Kuo, Wen-lin, & Wang, Nicholas J. Molecular predictors of therapeutic response to specific anti-cancer agents. United States.
Spellman, Paul T., Gray, Joe W., Sadanandam, Anguraj, Heiser, Laura M., Gibb, William J., Kuo, Wen-lin, and Wang, Nicholas J. Tue . "Molecular predictors of therapeutic response to specific anti-cancer agents". United States. https://www.osti.gov/servlets/purl/1333733.
@article{osti_1333733,
title = {Molecular predictors of therapeutic response to specific anti-cancer agents},
author = {Spellman, Paul T. and Gray, Joe W. and Sadanandam, Anguraj and Heiser, Laura M. and Gibb, William J. and Kuo, Wen-lin and Wang, Nicholas J.},
abstractNote = {Herein is described the use of a collection of 50 breast cancer cell lines to match responses to 77 conventional and experimental therapeutic agents with transcriptional, proteomic and genomic subtypes found in primary tumors. Almost all compounds produced strong differential responses across the cell lines produced responses that were associated with transcriptional and proteomic subtypes and produced responses that were associated with recurrent genome copy number abnormalities. These associations can now be incorporated into clinical trials that test subtype markers and clinical responses simultaneously.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {11}
}

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Works referenced in this record:

Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling
journal, March 2002