Stem gene expression in breast tumors during chemotherapy: Connection with the main clinical and morphological factors and the disease outcome.

Introduction: In this research, we studied how the expression of 14 stem genes (TERT; OCT3; SMO; MYC; SNAI2; MOB3B; KLF4; BMI1; VIM; FLT3; LAT; SMAD2; LMNB2; KLF1), as well as the TGF-ß1 cytokine gene and its TGFBR1 receptor in breast tumors before and after NAC is associated with clinical and morphological parameters and the disease outcome. Materials and Methods: The study included 82 patients with the morphologically verified diagnosis of T1-4N0-3M0 breast cancer (stages IIA - IIIB). The material was paired biopsy samples of tumor and surgical material for each patient. The stem genes expression was analyzed via qPCR. Results: As a result, we found that increased level of stem genes expression in breast tumors is associated with lymphogenic metastasis, young age, small tumor size, expression of estrogen and progesterone receptors, and the luminal B molecular subtype. NAC stimulates the expression of 7 out of 16 stem genes. Patients who further developed hematogenic metastases have twice as many hyperexpressed stem genes in their tumors before the treatment and after NAC than patients with no hematogenic metastases. The expression level of three genes - OCT3, LAT, and LMNB2 - in a residual tumor allows us to predict metastasis-free survival of patients with breast cancer of various molecular subtypes with a 79% accuracy. Conclusion: Thus, stem genes hyperexpression is associated with tumor progression.

Genome-wide methylotyping resolves breast cancer epigenetic heterogeneity and suggests novel therapeutic perspectives.

Aim: To provide a breast cancer (BC) methylotype classification by genome-wide CpG islands bisulfite DNA sequencing. Materials & methods: XmaI-reduced representation bisulfite sequencing DNA methylation sequencing method was used to profile DNA methylation of 110 BC samples and 6 normal breast samples. Intrinsic DNA methylation BC subtypes were elicited by unsupervised hierarchical cluster analysis, and cluster-specific differentially methylated genes were identified. Results & conclusion: Overall, six distinct BC methylotypes were identified. BC cell lines constitute a separate group extremely highly methylated at the CpG islands. In turn, primary BC samples segregate into two major subtypes, highly and moderately methylated. Highly and moderately methylated superclusters, each incorporate three distinct epigenomic BC clusters with specific features, suggesting novel perspectives for personalized therapy.

Genetic variability in the regulation of the expression cluster of MDR genes in patients with breast cancer.

PURPOSE: We aimed to investigate the association between the polymorphism and expression patterns of multiple drug resistance genes (MDR) in breast cancer (BC). MATERIALS AND METHODS: The MDR gene expression levels were measured in tumor tissues of 106 breast cancer patients using quantitative real-time PCR. Affymetrix CytoScan™ HD Array chips were used to assess genotypes. Pairwise correlation analysis for ABCB1, ABCC1, ABCC2 and ABCG2 gene expression levels was carried out to reveal co-expression clusters. Associations between SNPs of MDR genes and their preoperative expression levels were assessed using analysis of covariance adjusting for covariates. RESULTS: The SNPs associated with the expression of the ABCB1, ABCC1, ABCC2 and ABCG2 genes before NAC were detected. In addition, 21 SNPs associated with the expression of four ABC-transporter genes and involved in the expression regulation were identified. Validation in an independent sample confirmed the association between the MDR cluster genes and 11 SNPs. CONCLUSIONS: Four MDR genes: ABCB1, ABCC1, ABCC2 and ABCG2 were shown to form the functional expression cluster in breast tumor. Further studies are required to discover precise mechanisms of the cluster regulation, thereby providing new approaches and targets to combat the development of the MDR phenotype during chemotherapy.