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Breast Tumors with Elevated Expression of 1q Candidate Genes Confer Poor Clinical Outcome and Sensitivity to Ras/PI3K Inhibition

Overview
Journal PLoS One
Date 2013 Oct 23
PMID 24147022
Citations 27
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Abstract

Genomic aberrations are common in cancers and the long arm of chromosome 1 is known for its frequent amplifications in breast cancer. However, the key candidate genes of 1q, and their contribution in breast cancer pathogenesis remain unexplored. We have analyzed the gene expression profiles of 1635 breast tumor samples using meta-analysis based approach and identified clinically significant candidates from chromosome 1q. Seven candidate genes including exonuclease 1 (EXO1) are consistently over expressed in breast tumors, specifically in high grade and aggressive breast tumors with poor clinical outcome. We derived a EXO1 co-expression module from the mRNA profiles of breast tumors which comprises 1q candidate genes and their co-expressed genes. By integrative functional genomics investigation, we identified the involvement of EGFR, RAS, PI3K / AKT, MYC, E2F signaling in the regulation of these selected 1q genes in breast tumors and breast cancer cell lines. Expression of EXO1 module was found as indicative of elevated cell proliferation, genomic instability, activated RAS/AKT/MYC/E2F1 signaling pathways and loss of p53 activity in breast tumors. mRNA-drug connectivity analysis indicates inhibition of RAS/PI3K as a possible targeted therapeutic approach for the patients with activated EXO1 module in breast tumors. Thus, we identified seven 1q candidate genes strongly associated with the poor survival of breast cancer patients and identified the possibility of targeting them with EGFR/RAS/PI3K inhibitors.

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References
1.
Desmedt C, Sotiriou C . Proliferation: the most prominent predictor of clinical outcome in breast cancer. Cell Cycle. 2006; 5(19):2198-202. DOI: 10.4161/cc.5.19.3254. View

2.
Fang M, Toher J, Morgan M, Davison J, Tannenbaum S, Claffey K . Genomic differences between estrogen receptor (ER)-positive and ER-negative human breast carcinoma identified by single nucleotide polymorphism array comparative genome hybridization analysis. Cancer. 2011; 117(10):2024-34. PMC: 4521590. DOI: 10.1002/cncr.25770. View

3.
OBrien S, Fagan A, Fox E, Millikan R, Culhane A, Brennan D . CENP-F expression is associated with poor prognosis and chromosomal instability in patients with primary breast cancer. Int J Cancer. 2007; 120(7):1434-43. PMC: 4972098. DOI: 10.1002/ijc.22413. View

4.
Schmutte C, Marinescu R, Sadoff M, Guerrette S, Overhauser J, Fishel R . Human exonuclease I interacts with the mismatch repair protein hMSH2. Cancer Res. 1998; 58(20):4537-42. View

5.
Huang Q, Carrio-Cordo P, Gao B, Paloots R, Baudis M . The Progenetix oncogenomic resource in 2021. Database (Oxford). 2021; 2021. PMC: 8285936. DOI: 10.1093/database/baab043. View