Evaluation of serum fatty acid binding protein-4 (FABP-4) as a novel biomarker to predict biopsy outcomes in prostate biopsy naïve patients.

OBJECTIVES: To investigate the role of serum fatty acid-binding protein-4 (FABP-4) as a surrogate of obesity and metabolic syndrome in the prediction of the outcome of prostate biopsy. METHODS: A prospective pilot study was conducted for patients undergoing prostate needle biopsy (PNB) for clinically suspected prostate cancer (PCa) between June 2016 and August 2017. Fifty consecutive patients with biopsy-proven PCa were included as study group and 50 consecutive patients with negative biopsy were included as a control group. Receiver Operating Characteristic (ROC) curve was used to calculate the area under the curve (AUC) to compare the accuracy of the different parameters in the diagnosis as well as the presence of high-grade PCa (Gleason score 8-9) at PNB. Predictors of the outcome were analyzed using univariate and multivariate logistic regression analysis. RESULTS: FABP-4 (AUC: 0.75; P < 0.001) and PSA-density (AUC: 0.84; P < 0.001) were the most accurate to detect PCa at PNB. On multivariate analysis, FABP-4 > 22.5 ng/ml (OR: 16.6; 95% CI 2.8-98; P = 0.002) and PSA-density > 0.38 ng/ml/ml OR: 17.7; 95% CI 5.3-59; P < 0.001) were independent predictors of PCa detection. Regarding high-grade PCa at PNB, FABP-4 (AUC: 0.79; P < 0.001) and %Free-PSA (AUC: 0.75; P < 0.001) were the most accurate. Independent predictors of high-grade PCa were FABP-4 > 32.3 ng/ml OR: 9.2; 95% CI 1.8-45; P = 0.006) and %Free-PSA ≤ 21.9 (OR: 5.5; 95% CI 1.1-27; P = 0.03). CONCLUSIONS: FABP-4 is an independent predictor for both the diagnosis and high-grade Gleason score at PNB. This novel biomarker might have a promising role in optimizing PNB outcomes.

Serum lipids might improve prostate-specific antigen sensitivity in patients undergoing transrectal ultrasonography-guided biopsy for suspected prostate cancer: A pilot study.

Objectives: To investigate the potential use of body mass index (BMI) and serum lipids in improving prostate-specific antigen (PSA) sensitivity in patients undergoing biopsy for suspicion of prostate cancer, as there is an established relationship between metabolic syndrome, obesity and serum lipids with prostate cancer. Patients and methods: A pilot study was conducted in a tertiary referral centre between June 2016 and August 2017 of patients undergoing transrectal ultrasonography (TRUS)-guided biopsy. After the result of TRUS-biopsy, the first 50 patients diagnosed with prostate cancer (study group) and those with no prostate cancer (control group) were enrolled. BMI, serum PSA level, fasting blood sugar and lipid profile (e.g. cholesterol, triglycerides, low-density lipoprotein [LDL] and high-density lipoprotein [HDL]), were compared between the groups. Results: Higher BMI, cholesterol, LDL and lower HDL together with PSA were significantly associated with a positive biopsy. On multivariate analysis, LDL (odds ratio [OR] 5.3, 95% confidence interval [CI] 1.2-24.9; P = 0.03) and total PSA level (OR 12.9, 95% CI 4.7-35; P < 0.001) were independent predictors of a positive biopsy. A combination of LDL <80 mg/dL and PSA level <26 ng/mL threshold values determined by receiver operating characteristic curve analysis, had a sensitivity and specificity of 94% and 28%, respectively; whilst, the negative (NPV) and positive predictive values were 82.4% and 56.6%, respectively. The sensitivity and NPV of the combination was significantly higher than that of PSA level alone (94% vs 72% and 82.4% vs 75%, respectively; P < 0.001). Conclusions: Serum lipids might have a role in the diagnosis of prostate cancer and could be used as an adjunct to PSA measurement to improve sensitivity and avoid unnecessary biopsies. Abbreviations: AUC: area under the curve; BMI: body mass index; FBS: fasting blood sugar; HDL: high-density lipoprotein; LDL: low-density lipoprotein; LOX-1: lectin-like oxidised LDL receptor-1; OR: odds ratio; ROC: receiver operating characteristic; RP: radical prostatectomy; TG: triglyceride.