بررسي بيان ژن CENPN دخيل در پيشرفت سرطان كلوركتال در نمونه‌هاي بافتي بيماران وارتباط اين ژن با مسيرهاي مختلف سلولي

Investigation of CENPN gene expression involved in colorectal cancer progression in patient tissue samples an‎d its association with various cellular pathways.

زيست شناسي سلولي مولكولي و ميكروبيولوژي

Introduction an‎d Objective: Colorectal cancer (CRC) is considered a primary priority in oncology research due to its high mortality rate an‎d genetic complexities. Identifying key genes involved in genomic stability is essential for understan‎ding the mechanisms of tumor progression. The objective of this study was to experimentally investigate the role of the CENPN gene in colorectal cancer an‎d its impact on cellular pathways. Materials an‎d Methods: In this study, the CENPN gene was selec‎ted for experimental investigation from among genes with significant differential expression, based on bioinformatics analysis an‎d data mining of reputable databases (such as TCGA an‎d GEO conducted by research colleague Mr. Ali Rahmani, as well as a thorough review of relevant scientific literature. In the experimental phase, after preparing colorectal cancer cell lines, RNA extraction an‎d cDNA synthesis were performed. Subsequently, CENPN gene expression was eva‎luated using the RT-qPCR technique. Furthermore, for functional analysis, the effects of gene overexpression on cancer cell behavior were studied. The GAPDH gene was utilized as an internal control for data normalization. Results: Experimental findings corroborated the bioinformatics data, indicating a significant upregulation of the CENPN gene in cancerous samples compared to controls. Results from CENPN overexpression demonstrated that this gene leads to chromosomal instability (CIN) by interfering with the basal structure of the kinetochore. CENPN directly promotes the survival of aneuploid cells an‎d accelerates tumor proliferation by inhibiting p53 regulatory pathways. Conclusion: This study demonstrated that CENPN functions as a key oncogene in colorectal cancer. Our findings, based on a combination of collaborative bioinformatics analysis an‎d experimental results, suggest that this gene could be considered a potential therapeutic target an‎d diagnostic biomarker in future studies.

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