Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0600139 (Prostate Cancer)
 4,540 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Androgens, diet, race and obesity are thought to play some roles in the pathogenesis of prostate cancer. We wanted to evaluate if there were any inter-relationships between prostate specific antigen (PSA), serum testosterone, serum cholesterol, HDL, triglycerides, body mass index (BMI) and race, in older patients with and without prostate cancer (CaP). We evaluated 308 patients referred to urologists in private practice offices and clinics with and without prostate cancer with regard to race, serum PSA, age, serum testosterone, full lipid profile, height and weight, and stage of cancer. We used multivariate analysis, Fisher's exact test and t-tests as well as logistic regression analysis. Data was analyzed using SPSS computer software, and P-values<0.05 were considered statistically significant. Significantly higher levels of serum testosterone were found in black men with CaP than black men without CaP (526+/-28 vs 404+/-19, respectively.) We also found significantly higher levels of serum testosterone in white men with CaP than white men without CaP (409+/-20 vs 302+/-14, respectively, P<0.05). HDL was higher in black men than white men, and triglycerides were higher in white men than black men. Cholesterol was similar across all groups, but BMI was highest in white men with CaP. We also found a significant association between BMI and pathological stage of prostate cancer patients among both black and white men (P<0.05). Our study demonstrated that black men who developed CaP had higher serum testosterone levels, on average, than white men who developed CaP. Furthermore, BMI was highest in white men developing CaP compared to black men, but we found a significant association between pathological stage and BMI in both black and white patients. Although it is controversial whether obesity is considered to be a risk factor for prostate cancer, this small pilot study suggests that BMI may play a role in the progression of the disease once it is established.Prostate Cancer and Prostatic Diseases (2001) 4, 101-105
Prostate Cancer Prostatic Dis 2001
PMID:A pilot study analyzing PSA, serum testosterone, lipid profile, body mass index and race in a small sample of patients with and without carcinoma of the prostate. 1249 46

We construct risk predictors using polygenic scores (PGS) computed from common Single Nucleotide Polymorphisms (SNPs) for a number of complex disease conditions, using L1-penalized regression (also known as LASSO) on case-control data from UK Biobank. Among the disease conditions studied are Hypothyroidism, (Resistant) Hypertension, Type 1 and 2 Diabetes, Breast Cancer, Prostate Cancer, Testicular Cancer, Gallstones, Glaucoma, Gout, Atrial Fibrillation, High Cholesterol, Asthma, Basal Cell Carcinoma, Malignant Melanoma, and Heart Attack. We obtain values for the area under the receiver operating characteristic curves (AUC) in the range ~0.58-0.71 using SNP data alone. Substantially higher predictor AUCs are obtained when incorporating additional variables such as age and sex. Some SNP predictors alone are sufficient to identify outliers (e.g., in the 99th percentile of polygenic score, or PGS) with 3-8 times higher risk than typical individuals. We validate predictors out-of-sample using the eMERGE dataset, and also with different ancestry subgroups within the UK Biobank population. Our results indicate that substantial improvements in predictive power are attainable using training sets with larger case populations. We anticipate rapid improvement in genomic prediction as more case-control data become available for analysis.
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PMID:Genomic Prediction of 16 Complex Disease Risks Including Heart Attack, Diabetes, Breast and Prostate Cancer. 3174 97