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PMID: 16357129 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Identification of GATA3 as a breast cancer prognostic marker by global gene expression meta-analysis.

Cancer research ·Vol. 65 ·No. 24 ·2005-12-15 ·Pages 11259-64

Mehra R, Varambally S, Ding L, Shen R, Sabel MS, Ghosh D, Chinnaiyan AM, Kleer CG

Abstract

GATA binding protein 3 (GATA3) is a transcriptional activator highly expressed by the luminal epithelial cells in the breast. Here we did a meta-analysis of the available breast cancer cDNA data sets on a cohort of 305 patients and found that GATA3 was one of the top genes with low expression in invasive carcinomas with poor clinical outcome. To validate its prognostic utility, we did a tissue microarray analysis on a cohort of 139 consecutive invasive carcinomas (n = 417 tissue samples) immunostained with a monoclonal antibody against GATA3. Low GATA3 expression was associated with higher histologic grade (P < 0.001), positive nodes (P = 0.002), larger tumor size (P = 0.03), negative estrogen receptor and progesterone receptor (P < 0.001 for both), and HER2-neu overexpression (P = 0.03). Patients whose tumors expressed low GATA3 had significantly shorter overall and disease-free survival when compared with those whose tumors had high GATA3 levels. The hazard ratio of metastasis or recurrence according to the GATA3 status was 0.31 (95% confidence interval, 0.13-0.74; P = 0.009). Cox multivariate analysis showed that GATA3 had independent prognostic significance above and beyond conventional variables. Our data suggest that immunohistochemical analysis of GATA3 may be the basis for a new clinically applicable test to predict tumor recurrence early in the progression of breast cancer.

MeSH Terms
Biomarkers, Tumor/metabolism Breast Neoplasms/metabolism,pathology,therapy Cohort Studies DNA, Complementary/genetics,metabolism Female GATA3 Transcription Factor/metabolism Gene Expression Profiling Humans Neoplasm Invasiveness/diagnosis,pathology Neoplasm Recurrence, Local/metabolism,pathology,therapy Prognosis Receptors, Estrogen/metabolism Receptors, Progesterone/metabolism Survival Rate Tissue Array Analysis
Chemicals
Biomarkers, Tumor DNA, Complementary GATA3 Transcription Factor Receptors, Estrogen Receptors, Progesterone
Authors & Affiliations
8 authors, click to expand affiliations / ORCID
Mehra Rohit
Department of Pathology, University of Michigan Medical School, Ann Arbor, 48109, USA.
Varambally Sooryanarayana
Ding Lei
Shen Ronglai
Sabel Michael S
Ghosh Debashis
Chinnaiyan Arul M
Kleer Celina G
Article Info
Journal
Cancer research
Abbr.
Cancer Res
ISSN
0008-5472
Published
2005-12-15
Pages
11259-64
Language
English
Region
United States
NLM ID
2984705R
Subset
IM
Grants
NCI NIH HHS · K08CA090876 · United States
NCI NIH HHS · R01CA107469 · United States
NCI NIH HHS · R01CA97063 · United States
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