MOLECULAR CHARACTERIZATION OF DIFFERENTIAL GENE EXPRESSION PATTERNS ASSOCIATED WITH TAXOL RESISTANCE IN BREAST CANCER CELL LINES
Abstract
Breast cancer is still a significant health problem worldwide, especially triple-negative breast cancer (TNBC) which is a highly aggressive and poorly understood form of the disease with a tendency to become resistant to chemotherapy. Chemotherapy based on Taxol (paclitaxel) is well established in the treatment of breast cancer and resistance to this drug leads to poor therapeutic efficacy and recurrence and progression of the cancer. This study was designed to molecularly profile differential gene expression patterns in Taxol resistant breast cancer cell lines by using computational and bioinformatics approaches. Data on gene expression levels was analysed on a publicly available gene expression dataset including Taxol-resistant cell lines of breast cancer, namely BAS, MCF7, MDA and HS578T, that were analysed using Microsoft Excel. Genes with significant statistical differences (p-value < 0.05 and |logFC| > 1) were used to identify differentially expressed genes. The significant genes were divided into up and down regulated and then molecularly interpreted. The analysis revealed many transcriptional changes that are linked to Taxol resistance. SERPINB2, INHBA, PDPN and TP63 were significantly up regulated in several genes that are part of pathways involved in cell proliferation,
inflammatory signalling, migration and survival pathways. Conversely, genes linked to apoptosis regulation, metabolic balance and cellular adhesion (including IGFBP7, CLDN1, TFPI, and PPARGC1A) were significantly down regulated. The molecular expression patterns observed were complex and related to chemotherapy resistance. The study found that Taxol resistance in breast cancer cells is dependent upon the coordinated dysregulations of multiple molecular pathways. The genes identified could be used as markers and as targets for more effective chemotherapy in resistant breast cancer,and for the development of individual therapy plans.
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