Identification of differentially expressed genes and typical fusion genes associated with three subtypes of breast cancer.

Background: This study aimed to identify the differentially expressed genes (DEGs) and the typical fusion genes in different types of breast cancers using RNA-seq.
Methods: GSE52643 was downloaded from Gene Expression Omnibus, which included 1 normal sample (MCF10A) and 7 breast cancer samples (BT-474, BT-20, MCF7, MDA-MB-231, MDA-MB-468, T47D, and ZR-75-1). The transcript abundance and the DEGs screening were performed by Cufflinks. The functional and pathway enrichment was analyzed by Gostats. SnowShoes-FTD was applied to identify the fusion genes.
Results: We screened 430, 445, 397, 417, 369, 557, and 375 DEGs in BT-474, BT-20, MCF7, DA-MB-231, MDA-MB-468, T47D, and ZR-75-1, respectively, compared with MCF10A. DEGs in each comparison group (such as CD40 and CDH1) were significantly enriched in the functions of cell adhesion and extracellular matrix organization and pathways of CAMs and ECM receptor interaction. UCP2 was a common DEG in the 7 comparison groups. SFRP1 and MMP7 were significantly enriched in wnt/-catenin signaling pathway in MDA-MB-231. FAS was significantly enriched in autoimmune thyroid disease pathway in BT-474. Besides, we screened 96 fusion genes, such as ESR1-C6orf97 in ZR-75-1, COBRA1-C9orf167 in BT-20, and VAPB-IKZF3 and ACACA-STAC2 in BT-474.
Conclusions: The DEGs such as SFRP1, MMP7, CDH1, FAS, and UCP2 might be the potential biomarkers in breast cancer. Furthermore, some pivotal fusion genes like ESR1-C6orf97 with COBRA1-C9orf167 and VAPB-IKZF3 with ACACA-STAC2 were found in Luminal A and Luminal B breast cancer, respectively.