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Colombo, P.E., Milanezi, F., Weigelt, B. and Reis-Filho, J.S. (2011) Microarrays in the 2010s: The Contribution of Microarray-Based Gene Expression Profiling to Breast Cancer Classification, Prog-nostication and Prediction. Breast Cancer Research, 13, 212.
https://doi.org/10.1186/bcr2890

has been cited by the following article:

• TITLE: Microarray Meta Analysis of BRCA1 Mutated Genes Involved in Breast Cancer

  AUTHORS: Veerabhadrappa Kubsad Sukanya, Prashantha Nagaraja, Sumathra Manokaran, Aall Hanumanthareddy Manjunatha Reddy, Pallavi Surana

  KEYWORDS: Microarray, Breast Cancer, Drug Targets, Drug Discovery, Gene Signatures, Meta-Analysis, BRCA1, BRCA2

  JOURNAL NAME: Open Access Library Journal, Vol.5 No.11, November 26, 2018

  ABSTRACT: Women with BRCA1 and BRCA2 gene mutations are at increased risk of breast cancer, compared with women who don’t carry the mutation in familial and somatic condition is remains challenge. The aim of this work is to identify differentially expressed gene patterns related with BRCA1 and BRCA2 gene mutations that significantly expressed in breast cancer drug targets. We have developed microarray meta-analysis to predict differential gene expression lev-els between hereditary BRCA1 mutations linked with sporadic breast cancer, using statistical methods to identify upregulated and downregulated genes to perform meta-analysis; further SVM classifier to identify gene ranks and their associated gene networks helps to classify gene profiles used for drug targets. We have predicted 2381 upregulated and 2057 down regulated genes that sig-nificantly (p-value