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2017 ; 7
(1
): 11427
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Gene expression profiling of calcifications in breast cancer
#MMPMID28900139
Shin SU
; Lee J
; Kim JH
; Kim WH
; Song SE
; Chu A
; Kim HS
; Han W
; Ryu HS
; Moon WK
Sci Rep
2017[Sep]; 7
(1
): 11427
PMID28900139
show ga
We investigated the gene expression profiles of calcifications in breast cancer.
Gene expression analysis of surgical specimen was performed using Affymetrix
GeneChip® Human Gene 2.0 ST arrays in 168 breast cancer patients. The
mammographic calcifications were reviewed by three radiologists and classified
into three groups according to malignancy probability: breast cancers without
suspicious calcifications; breast cancers with low-to-intermediate suspicious
calcifications; and breast cancers with highly suspicious calcifications. To
identify differentially expressed genes (DEGs) between these three groups, a
one-way analysis of variance was performed with post hoc comparisons with Tukey's
honest significant difference test. To explore the biological significance of
DEGs, we used DAVID for gene ontology analysis and BioLattice for clustering
analysis. A total of 2551 genes showed differential expression among the three
groups. ERBB2 genes are up-regulated in breast cancers with highly suspicious
calcifications (fold change 2.474, p?0.001). Gene ontology analysis revealed
that the immune, defense and inflammatory responses were decreased in breast
cancers with highly suspicious calcifications compared to breast cancers without
suspicious calcifications (p from 10(-23) to 10(-8)). The clustering analysis
also demonstrated that the immune system is associated with mammographic
calcifications (p?0.001). Our study showed calcifications in breast cancers are
associated with high levels of mRNA expression of ERBB2 and decreased immune
system activity.