Application of microarray in breast cancer: An overview
Open Access
- 1 January 2012
- journal article
- review article
- Published by Medknow in Journal of Pharmacy and Bioallied Sciences
- Vol. 4 (1), 21-26
- https://doi.org/10.4103/0975-7406.92726
Abstract
There are more than 1.15 million cases of breast cancer diagnosed worldwide annually. At present, only small numbers of accurate prognostic and predictive factors are used clinically for managing the patients with breast cancer. DNA microarrays have the potential to assess the expression of thousands of genes simultaneously. Recent preliminary researches indicate that gene expression profiling based on DNA microarray can offer potential and independent prognostic information in patients with newly diagnosed breast cancer. In this paper, an overview upon the applications of microarray techniques in breast cancer is presented.This publication has 56 references indexed in Scilit:
- Distinct distribution and prognostic significance of molecular subtypes of breast cancer in Chinese women: a population-based cohort studyBMC Cancer, 2011
- Correlation of microarray-based breast cancer molecular subtypes and clinical outcomes: implications for treatment optimizationBMC Cancer, 2011
- Microarray-Based Class Discovery for Molecular Classification of Breast Cancer: Analysis of Interobserver AgreementJNCI Journal of the National Cancer Institute, 2011
- An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patientsBreast Cancer Research and Treatment, 2009
- Meta-analysis of breast cancer microarray studies in conjunction with conserved cis-elements suggest patterns for coordinate regulationBMC Bioinformatics, 2008
- Pathology and gene expression of hereditary breast tumors associated with BRCA1, BRCA2 and CHEK2 gene mutationsOncogene, 2006
- A signature of chromosomal instability inferred from gene expression profiles predicts clinical outcome in multiple human cancersNature Genetics, 2006
- Repeated observation of breast tumor subtypes in independent gene expression data setsProceedings of the National Academy of Sciences of the United States of America, 2003
- Gene expression profiling predicts clinical outcome of breast cancerNature, 2002
- Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implicationsProceedings of the National Academy of Sciences of the United States of America, 2001