Springer Protocols: Abstract: Gene Expression Profiles and Prognostic Markers for Primary Breast Cancer

Gene Expression Profiles and Prognostic Markers for Primary Breast Cancer

By: Yixin Wang², Jan Klijn³, Yi Zhang², David Atkins², John Foekens³

Abstract

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Genome-wide measures of gene expression have been used to classify breast tumors into clinically relevant subtypes, as well as provide a better means of risk assessment on an individual basis for lymph node-negative (LNN) breast cancer patients. We have applied Affymetrix GeneChips of 22,000 transcripts to analyze total RNA of frozen tumor samples from 286 LNN breast cancer patients in order to identify a gene signature for identification of patients at high risk for distant recurrence.

Affiliation(s): (2) Veridex LLC, Johnson and Johnson Company, San Diego, CA
(3) Department of Medical Oncology, Erasmus Medical Center, Daniel den Hoed Cancer Center, Rotterdam, The Netherlands

Book Title: Microarray Data Analysis: Methods and Applications

Series: Methods in Molecular Biology | Volume: 377 | Pub. Date: May-03-2007 | Page Range: 131-138 | DOI: 10.1007/978-1-59745-390-5_7

Subject: Genetics/Genomics

Key Words: Microarray - gene expression - node-negative breast cancer - prognosis

References

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