Breast cancer is a leading cause of cancer-related deaths worldwide. While significant progress has been made in its diagnosis and treatment, it remains a major public health concern. This study aimed to investigate the transcriptomic effects of Mebendazole, an antiparasitic drug, on SUM159 cell lines, a model for triple-negative breast cancer (TNBC). RNA-Seq analysis was conducted to identify differentially expressed genes (DEGs) between untreated and Mebendazole-treated cells. Our analysis revealed significant transcriptional alterations in Mebendazole-treated SUM159 cells, with data collected from the NCBI GEO database. The GALAXY server NGS data analysis frame work was used, followed by FASTQC, FASTP, HISAT2, SAMTOOL_Sort, SAMTOOLs_Dataset, the Uploading GTF for Humans standard file from UCSC, Hiseq-Count and analysis in R-reported DEGs. The list of 820 DEGs were analysed for enrichment using EnrichR, David tools, to understand the involvement of DEGs in biological processes. DEGs were enriched in pathways related to cell cycle regulation, apoptosis, survival signaling, and metabolism, suggesting that Mebendazole exerts its effects through multiple mechanisms. Notably, the identified DEGs were associated with various diseases, including breast cancer and neurodegenerative disorders. The downregulated genes from the analysis reported to be involved in liver cirrhosis, atherosclerosis, neurological disorder, cellular adhesion, the extracellular matrix, the transcription factor, and the assembly of collagens in humans, whereas the upregulated genes were more involved in pathways of breast cancer, ovarian cancer, the cell cycle and the cell division process. These findings highlight the potential for Mebendazole to be repurposed as a therapeutic agent beyond its traditional use in parasitic infections. Further research is needed to validate these in vitro findings in vivo and explore the clinical implications of Mebendazole for cellular mechanisms, the signal cascade, TNBC and neurodegenerative diseases.
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Study of SUM159 Cell Lines Untreated and Treated with drug Mebendazole and its effect on Transcriptome Level (Rna-Seq Analysis)
Published:
09 December 2024
by MDPI
in The 2nd International Electronic Conference on Genes
session Genetic Diagnosis and Targeted Therapy in Cancer
Abstract:
Keywords: RNA Seq, GEO, Breast cancer, Data Analysis, TNBC