Yüksek LisansAçık Erişim

Metastatik prostat kanserinde PCBB ve IVD genlerinin ekspresyon analizi

2026
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Danışman: Assist. Prof. Dr. Yalda Hekmatshoar

Özet (EN)

Prostate cancer is a leading cause of cancer-related mortality among men worldwide. It demonstrates variable biological behavior ranging from localized indolent forms to highly metastatic and treatment-resistant stages. Understanding the molecular mechanisms responsible for this progression is essential for improving diagnosis and therapeutic strategies. The present study focused on the expression analysis of PCBB and IVD genes in prostate cancer cell lines representing different stages of disease progression. Human prostate cancer cell lines PC3 (CRL-1435™, metastatic, androgen-independent) and LNCaP (CRL-1740™, androgen-dependent) were used as experimental models. Total RNA was extracted, quantified, and converted into complementary DNA (cDNA) for quantitative real-time polymerase chain reaction (qRT-PCR) analysis. The comparative gene expression analysis revealed that PCBB expression was significantly reduced in PC3 cells compared to LNCaP, indicating a potential relationship between PCBB downregulation and the metastatic phenotype of prostate cancer. In contrast, IVD expression showed no statistically significant difference between the two cell lines, suggesting that its transcription remains stable regardless of disease stage. Statistical analysis was conducted using GraphPad Prism and significance was determined at p < 0.05, p < 0.01, p < 0.001, and p < 0.0001. The findings demonstrate that PCBB may play a role in the metabolic or molecular changes associated with prostate cancer metastasis, while IVD expression appears unaffected. These results contribute to the growing understanding of gene-specific regulation in prostate cancer and may guide further studies exploring their diagnostic and prognostic potential.

Yazar

Safa Ahmed A Abu Daya

Bu Yayına Nasıl Atıf Yapılır

Safa Ahmed A Abu Daya (Master Thesis). Metastatik prostat kanserinde PCBB ve IVD genlerinin ekspresyon analizi, 2026, Altınbaş University.

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