Where Innovations Meets Personalized and Precision Medicine
Author = Mehdi Haghi
Number of Articles: 1
Pituitary hormones Profile, Cholesterol Levels, and Steroidogenic Genes Xxpression are Useful Information in Prostate Cancer

Pituitary hormones Profile, Cholesterol Levels, and Steroidogenic Genes Xxpression are Useful Information in Prostate Cancer

Volume 11, Issue 40, Winter 2026, Pages 8-15

https://doi.org/10.22034/ppmj.2026.735667

Ghasem Ghorbani Vale Zaghard, Mehdi Haghi, Mehdi Ghiamirad, Saeid Ghorbian, Mehdi Ebrahimi

Abstract Objective: To investigate the relationship between changes in the level of Pituitary hormones, cholesterol levels, and the expression of genes involved in the biosynthesis of androgens, this study was designed.
Methods: In this study, the amount of changes in the levels of LH, FSH, and PRL hormones, as well as the level of cholesterol as a precursor of androgens, LDL and HDL lipoproteins, and the expression level of two genes, CYP17A1 and CYP11A1, in 120 people with prostate cancer as a case group and 120 people with BPH as a control group by RT-qPCR.
Results: The statistical analysis demonstrated that serum levels of testosterone, LH, and TSH were significantly higher in the malignant group compared to the benign group. PRL levels were also elevated in the Prostate cancer (PCa) group; however, this difference did not reach statistical significance. No significant difference was observed in serum PSA levels between the two groups. Prostate volume was significantly greater in the benign group than in the malignant group. Serum cholesterol levels were significantly higher in the PCa group compared to the Benign prostatic hyperplasia (BPH) group. In contrast, serum levels of LDL and HDL lipoproteins showed no significant differences between the groups. Additionally, the expression levels of CYP11A1 and CYP17A1 genes were significantly increased in the PCa group relative to the BPH group.
Conclusion: The results of this study showed that monitoring the hormonal profile and cholesterol level can play an important role in predicting the course of the disease.