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2 results on '"Jennifer R. Choo"'

1. Biomarkers for Basal-like Breast Cancer

Author

Jennifer R. Choo and Torsten O. Nielsen

Subjects
breast cancer, basal-like, biomarkers, intrinsic subtype, immunohistochemistry, triple-negative, basaloid, expression profile, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Initially recognized through microarray-based gene expression profiling, basal-like breast cancer, for which we lack effective targeted therapies, is an aggressive form of carcinoma with a predilection for younger women. With some success, immunohistochemical studies have attempted to reproduce the expression profile classification of breast cancer through identification of subtype-specific biomarkers. This review aims to present an in depth summary and analysis of the current status of basal-like breast cancer biomarker research. While a number of biomarkers show promise for future clinical application, the next logical step is a comprehensive investigation of all biomarkers against a gene expression profile gold standard for breast cancer subtype assignment.

Published
2010
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2. FOXA1 is an independent prognostic marker for ER-positive breast cancer

Author

Rutika Mehta, David G. Huntsman, Torsten O. Nielsen, Harikrishna Nakshatri, Rohit Jain, Jennifer R. Choo, Samuel Leung, and Sunil Badve

Subjects
Hepatocyte Nuclear Factor 3-alpha, Oncology, Cancer Research, medicine.medical_specialty, Pathology, Antineoplastic Agents, Hormonal, Estrogen receptor, Breast Neoplasms, Biology, Basal (phylogenetics), Breast cancer, Recurrence, Internal medicine, Biomarkers, Tumor, medicine, Humans, Survival analysis, Tissue microarray, Prognosis, medicine.disease, Survival Analysis, Tamoxifen, Receptors, Estrogen, Immunohistochemistry, Female, FOXA1, medicine.drug
Abstract

Forkhead box protein A1 (FOXA1) is a "pioneer factor" that plays a role in controlling nearly 50% of estrogen receptor target genes. FOXA1 expression correlates with estrogen receptor (ER)-positivity especially in luminal subtype A breast cancers. The aim of this study was to investigate the precise role of FOXA1 in breast cancer using a large population-based cohort. Nuclear expression of FOXA1 was analyzed in a tissue microarray of 4,444 invasive breast cancer cases using immunohistochemistry and correlated with clinicopathologic variables using previously described methods and cutoff points. The entire cohort was equally divided into a training and validation set. All survival analyses were performed using a previously defined cutoff (3) for validation. Additional X-tile analysis performed to analyze prognostic effects of low and high FOXA1 levels identified 24 as a cutoff. Bonferroni-Holmes test was used as appropriate. FOXA1 expression significantly correlated positively with markers of good prognosis or ER-positivity, and negatively with tumor size, tumor grade, nodal status, Ki67, HER2 expression, and basal subtype (each P value

Published
2011

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