Show simple item record

dc.contributor.authorBild, Andrea H.en_US
dc.contributor.authorParker, Joel S.en_US
dc.contributor.authorGustafson, Adam M.en_US
dc.contributor.authorAcharya, Chaitanya R.en_US
dc.contributor.authorHoadley, Katherine A.en_US
dc.contributor.authorAnders, Careyen_US
dc.contributor.authorMarcom, P. Kellyen_US
dc.contributor.authorCarey, Lisa A.en_US
dc.contributor.authorPotti, Anilen_US
dc.contributor.authorNevins, Joseph R.en_US
dc.contributor.authorPerou, Charles M.en_US
dc.date.accessioned2012-01-12T17:19:48Z
dc.date.available2012-01-12T17:19:48Z
dc.date.copyright2009
dc.date.issued2009-7-28
dc.identifier.citationBild, Andrea H, Joel S Parker, Adam M Gustafson, Chaitanya R Acharya, Katherine A Hoadley, Carey Anders, P Kelly Marcom, Lisa A Carey, Anil Potti, Joseph R Nevins, Charles M Perou. "An integration of complementary strategies for gene-expression analysis to reveal novel therapeutic opportunities for breast cancer" Breast Cancer Research: BCR 11(4):R55. (2009)
dc.identifier.issn1465-542X
dc.identifier.urihttp://hdl.handle.net/2144/3390
dc.description.abstractINTRODUCTION. Perhaps the major challenge in developing more effective therapeutic strategies for the treatment of breast cancer patients is confronting the heterogeneity of the disease, recognizing that breast cancer is not one disease but multiple disorders with distinct underlying mechanisms. Gene-expression profiling studies have been used to dissect this complexity, and our previous studies identified a series of intrinsic subtypes of breast cancer that define distinct populations of patients with respect to survival. Additional work has also used signatures of oncogenic pathway deregulation to dissect breast cancer heterogeneity as well as to suggest therapeutic opportunities linked to pathway activation. METHODS. We used genomic analyses to identify relations between breast cancer subtypes, pathway deregulation, and drug sensitivity. For these studies, we use three independent breast cancer gene-expression data sets to measure an individual tumor phenotype. Correlation between pathway status and subtype are examined and linked to predictions for response to conventional chemotherapies. RESULTS. We reveal patterns of pathway activation characteristic of each molecular breast cancer subtype, including within the more aggressive subtypes in which novel therapeutic opportunities are critically needed. Whereas some oncogenic pathways have high correlations to breast cancer subtype (RAS, CTNNB1, p53, HER1), others have high variability of activity within a specific subtype (MYC, E2F3, SRC), reflecting biology independent of common clinical factors. Additionally, we combined these analyses with predictions of sensitivity to commonly used cytotoxic chemotherapies to provide additional opportunities for therapeutics specific to the intrinsic subtype that might be better aligned with the characteristics of the individual patient. CONCLUSIONS. Genomic analyses can be used to dissect the heterogeneity of breast cancer. We use an integrated analysis of breast cancer that combines independent methods of genomic analyses to highlight the complexity of signaling pathways underlying different breast cancer phenotypes and to identify optimal therapeutic opportunities.en_US
dc.description.sponsorshipV Foundation for Cancer Research (Partners in Excellence grant)en_US
dc.language.isoenen_US
dc.publisherBioMed Centralen_US
dc.rightsCopyright 2009 Bild; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/2.0
dc.titleAn Integration of Complementary Strategies for Gene-Expression Analysis to Reveal Novel Therapeutic Opportunities for Breast Canceren_US
dc.typearticleen_US
dc.identifier.doi10.1186/bcr2344
dc.identifier.pubmedid19638211
dc.identifier.pmcid2750116


Files in this item

This item appears in the following Collection(s)

Show simple item record

Copyright 2009 Bild; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.
Except where otherwise noted, this item's license is described as Copyright 2009 Bild; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.