Potential biomarkers through genome-wide expression analysis of breast cancer samples from Malaysian patients
Breast cancer is a serious health concern and still a leading cause of death among women in the world. To explore the complexity of this cancer, we performed microarray analysis on highly selective cancer and normal breast tissues. The aim of this study was to identify differentially expressed gen...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Pusat Perubatan Universiti Kebangsaan Malaysia
2013
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Online Access: | http://journalarticle.ukm.my/13234/ http://journalarticle.ukm.my/13234/ http://journalarticle.ukm.my/13234/1/4-8-1-SM.pdf |
Summary: | Breast cancer is a serious health concern and still a leading cause of death among women in the world. To explore the
complexity of this cancer, we performed microarray analysis on highly selective cancer and normal breast tissues. The
aim of this study was to identify differentially expressed genes between both tissues and to elucidate further molecular
pathways involved in breast cancer carcinogenesis. Genome-wide expression profiling was performed on fifteen cancer
and five normal breast tissues using the Affymetrix GeneChip® Human Gene 1.0 ST array. Supervised hierarchical
cluster analysis using filtering parameters of -1.5 to 1.5 fold-change and p-value with False Discovery Rate < 0.05
revealed 404 up-regulated and 463 down-regulated genes. Pathway analysis revealed the significant genes were involved
in cell cycle regulation, DNA repair, Hedgehog pathway, histone phosphorylation, TRRAP/Tip60 chromatin remodelling
and apoptosis regulation. Among the top 10 significantly overexpressed genes were CENPF, DTL and MK167 and these
were related to cell cycle regulation. Among the top 10 significant down-regulated genes, HOXA5 and NRG1 were found
to be associated with Wnt signalling pathway and ErbB signalling pathway respectively. Aberrations in these genes are
likely to promote breast cancer carcinogenesis. Our current findings highlighted the importance of differentially
expressed genes in breast cancer and their molecular pathways that linked these genes. Further studies are required to
validate our findings using larger sample size. |
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