A systems approach to analysis of molecular complexity in breast cancer.

Clinical cancer research : an official journal of the American Association for Cancer Research ·Vol. 15 ·No. 2 ·2009-01-15 ·Pages 417-9

Hennessy BT, Gonzalez-Angulo AM, Carey MS, Mills GB

Abstract

In this issue of Clinical Cancer Research, Andre et al. apply high-resolution arrays to elucidate copy number anomalies in breast cancer. They identify distinct copy number anomaly patterns in different breast cancer subtypes that implicate a number of genes as potential therapeutic targets and as potential markers of therapy responsiveness.

MeSH Terms

Algorithms Biomarkers, Tumor/metabolism Breast Neoplasms/diagnosis,pathology Computational Biology/methods Gene Expression Profiling Humans Medical Oncology/methods Models, Biological Nucleic Acid Hybridization Oligonucleotide Array Sequence Analysis Phosphatidylinositol 3-Kinases/metabolism Proteomics/methods Systems Biology

Chemicals

Biomarkers, Tumor Phosphatidylinositol 3-Kinases

Authors & Affiliations

4 authors, click to expand affiliations / ORCID

Hennessy Bryan T

Department of Systems Biology and the Kleberg Center for Molecular Markers, M. D. Anderson Cancer Center, Houston, Texas 77030, USA. bhennessy@mdanderson.org

Gonzalez-Angulo Ana Maria

Carey Mark S

Mills Gordon B

References (11)

11 references, click to expand

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Article Info

Journal

Clinical cancer research : an official journal of the American Association for Cancer Research

Abbr.

Clin Cancer Res

ISSN

1078-0432

DOI

10.1158/1078-0432.CCR-08-2620

bhennessy@mdanderson.org

Published

2009-01-15

Pages

417-9

Language

English

Region

United States

NLM ID

9502500

PMCID

PMC4161015

Subset

Grants

NCI NIH HHS · P30 CA016672 · United States

NCI NIH HHS · P50 CA098258 · United States

Corrections

CommentOn

PMID: 19147748

External Links

PubMed source DOI: 10.1158/1078-0432.CCR-08-2620 PMC Full Text View journal details

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A systems approach to analysis of molecular complexity in breast cancer.

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