Steroid hormones are important in the etiology and progression of prostate cancer, and expression of genes involved in hormone production may alter susceptibility. One such gene is CYP17, which encodes the cytochrome P450c17a enzyme responsible for the biosynthesis of testosterone. A T to C transition (A2 allele) in the 5' promoter region of the gene is hypothesized to increase the rate of gene transcription, increase androgen production, and thereby increase risk of prostate cancer. To test this hypothesis, germ-line DNA samples from a large population-based study of incident prostate cancer cases (n = 590) and controls (n = 538) of similar age without the disease were genotyped. The frequency of the A2 allele was similar in cases and controls. Compared with men with the A1/A1 genotype, the adjusted odds ratio was 0.81 for the A1/A2 and 0.87 for the A2/A2 genotype. Risk estimates did not vary substantially by age or race. However, stratification by family history of prostate cancer revealed that among white men with an affected first-degree relative, homozygotes for the A2 allele had a significant elevation in risk (odds ratio = 19.2; 95% confidence interval, 2.2-157.4) compared with men who were homozygous for the A1 allele (interaction P = 0.0005). These results suggest that the CYP17 A2/A2 genotype predicts susceptibility to prostate cancer in white men with a family history of the disease. It is also possible that CYP17 interacts with other genes that influence risk of familial prostate cancer.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Expression of cytokeratin 19 in prostatic adenocarcinoma: a systematic review.
BMC Cancer
January 2025
Department of Pathology, Faculty of Medicine, Shahed University, Tehran, Iran.
Background: Cytokeratins are intracellular proteins known as diagnostic biomarkers or prognostic factors for certain cancers. Cytokeratin 19 (CK-19) expression has been proven to have prognostic value for some cancers, but its relationship with others, such as prostate cancer (PCa), remains unclear. This systematic review article aimed to examine the relationship between CK-19 expression and prostate adenocarcinoma (PAC).
View Article and Find Full Text PDFAutophagy Associated Genes (ARGs) -Based Predictive Model AIDPS for Prostate Cancer.
J Cell Mol Med
January 2025
Department of Andrology, The First Hospital of Jilin University, Changchun, China.
Prostate cancer (PCa) is one of the most common cancers in men worldwide. Autophagy-related genes (ARGs) may play an important role in various biological processes of PCa. The aim of this study was to identify and evaluate autophagy-related features to predict clinical outcomes in patients with PCa.
View Article and Find Full Text PDFAlkaline phosphatase decline and pain response as predictors of overall survival benefit in patients treated with radium-223: a post hoc analysis of the REASSURE study.
Br J Cancer
January 2025
Mayo Clinic, Rochester, MN, USA.
Background: Alkaline phosphatase (ALP) declines and pain responses can occur during radium-223 (Ra) treatment, but their association with treatment outcomes is unclear.
Methods: For patients with metastatic castration-resistant prostate cancer treated with Ra in the REASSURE study, we investigated whether ALP decline (Week 12) and/or pain response (during treatment) are associated with improved overall survival (OS). The Brief Pain Inventory-Short Form (BPI-SF) was used to assess pain at baseline and pain response (in patients with baseline BPI-SF score ≥2).
Using XBGoost, an interpretable machine learning model, for diagnosing prostate cancer in patients with PSA < 20 ng/ml based on the PSAMR indicator.
Sci Rep
January 2025
Department of Urology, The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu, 241001, Anhui, People's Republic of China.
To create a diagnostic tool before biopsy for patients with prostate-specific antigen (PSA) levels < 20 ng/ml to minimize prostate biopsy-related discomfort and risks. Data from 655 patients who underwent transperineal prostate biopsy at the First Affiliated Hospital of Wannan Medical College from July 2021 to January 2023 were collected and analyzed. After applying the Synthetic Minority Over-sampling TEchnique class balancing on the training set, multiple machine learning models were constructed by using the Least Absolute Shrinkage and Selection Operator (LASSO) feature selection to identify the significant variables.
View Article and Find Full Text PDFAssessment of the predictive power the radiation-induced lymphocyte apoptosis method in prostate cancer patients.
Sci Rep
January 2025
Department of Radiobiology and Diagnostic Onco-Cytogenetics, Centre of Radiotherapy, National Institute of Oncology, 1122, Ráth György utca 7-9, Budapest, Hungary.
Due to the better survival of patients with tumorous diseases, it is increasingly important to predict the side effects of radiotherapy, for which the Radiation-Induced Lymphocyte Apoptosis (RILA) method is proving to be effective in multicentric studies. Prostate cancer is the leading cause of cancer-related deaths among men worldwide, which is usually treated with radiotherapy. We recruited 49 patients with localized prostate cancer and performed RILA measurements before radiotherapy.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!