Contribution of prostate-specific antigen density in the prediction of prostate cancer: Does prostate volume matter?

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ORIGINAL ARTICLE Gulhane Med J 2018;60: 14-18 Gülhane Faculty of Medicine 2018 doi: 10.26657/gulhane.00010 Contribution of prostate-specific antigen density in the prediction of prostate cancer: Does prostate volume matter? Murat Zor (*), Engin Kaya (*), Selahattin Bedir (*) ABSTRACT Aims: We aimed to evaluate whether there is a specific subgroup of patients who benefit most from PSAD screening according to their prostate volume. Methods: Transrectal ultrasound guided prostate biopsy performed patients were stratified in five groups according to their prostate size. PSAD values were compared between groups, and the diagnostic accuracy of PSAD was evaluated for different prostate volumes. Results: Of 326 patients 98 (30.0%) had pca. While total PSA and PSAD between pca(+) and (-) patients were significantly higher in group 1,2 and 3, the differences was not significant in group 4 and 5. The highest AUC value was achieved for group 3 and the lowest for group 5. The optimal cutoff values were different between groups. Conclusions: Demonstrating the greatest diagnostic accuracy of PSAD in prostates 60 and <80 cc makes an invaluable contribution to the current literature and would be a reference point for further studies. Key words: Prostate-spesific antigen, PSA density, prostate size, prostate cancer, screening. *Gulhane Training and Research Hospital, Urology, Ankara, Turkey Corresponding Author: Dr. Murat Zor Gülhane Training and Research Hospital, Urology, Ankara, Turkey murat804@yahoo.com Date submitted: Jan 07, 2018 Date accepted: Mar 19, 2018 Online publication date: March 15, 2018 Introduction Prostate cancer (pca) is one of the most common types of cancer in the western countries. After the emergence of Prostate Specific Antigen (PSA) as a marker of the disease nearly 20 years ago, a great effort came through in the early detection and treatment of pca (1). However the use of PSA in pca detection is limited due to low specificity of the marker and inability to differentiate indolent cancer from life-threatening disease (1,2). For this reason, a multitude of studies have been conducted to improve the performance of PSA as well as identifying additional biomarkers. As being one of them, many have advocated normalizing PSA by the volume of prostate gland, yielding a PSA density (PSAD) (3,4). In this study, we retrospectively reviewed our database of prostate biopsies, and evaluated the contribution of PSAD in prostate cancer detection according to prostate size. Moreover, we sought out whether or not is there a specific subgroup of patients benefit mostly from PSAD measurements according to their prostate sizes. Methods Between January 2013 and March2017, a total of 394 patients underwent transrectal ultrasound guided (TRUS) prostate biopsy (bx) due to high serum total PSA levels or abnormal digital rectal examination (DRE). The patients with incomplete medical records were excluded from the study. The patients who had serum total PSA <4 ng/ml and 20 ng/ml were also excluded. Finally the medical records of 326 patients were retrospectively evaluated. All patients were provided written consent. TRUS prostate-bx was performed using an 18-G needle with a minimum 12-core firing. PSAD was calculated as total PSA divided by total prostate volume (5). The patients were stratified in five groups according to their prostate size as follows; group 1: prostate<40 cc, group 2: prostate 40 and <60 cc, group 3: prostate 60 and <80 cc, group 4: prostate 80 and <120 cc, and finally group 5: prostate 120 cc. Patient age, prostate volume, total PSA, PSAD and TRUS-bx results were recorded for statistical analysis. Statistical analyses were performed using the Statistical Package for Social Sciences software program (SPSS for Windows Ver 22.0). Mann-Whitney U test was used to compare variables between groups. Receiver operating characteristics curves (ROC) analyses were performed and area under curves calculated to evaluate the diagnostic accuracy of PSAD in pca detection. Sensitivities, specificities, (+) and (-) likelihood ratios for optimal cutoff values were also defined for specific subgroups. 14 March 2018 Gulhane Med J

Results Among 326 patients recruited to the study, 98 (30.0%) patients had pca. Mean patient age, total PSA, PSAD and prostate volume for the entire groups were 64.5±8.3 cc, 8.1±3.6 ng/ ml, 0.16±0.13 ng/ml/cc, and 66.3±39.2 cc, respectively (Table 1). Patient characteristics, PSA kinetics and statistical comparisons for pca (+) and (-) patients according to prostate size were summarized in Table 2. While total PSA and PSAD between pca(+) and (-) patients were significantly higher in group 1,2 and 3, the differences was not significant in group 4 and 5. The predictive value of PSAD was analyzed using ROC curves for each group (fig 1), and these invaluable results were confirmed. The areas under the curves with their 95% confidence intervals, best cutoff values, sensitivity and specificity values for these optimal cutoff levels, and likelihood ratios for each group was shown in table 3. The AUC results showed initially increasing and subsequently decreasing diagnostic value with increasing prostate volume. The highest AUC value was achi- Figure 1. c. Prostate 60 and <80 cc, Figure 1. a. Receiver operating characteristic curve analysis of PSAD for prostate<40 cc,. Figure 1. d. Prostate 80 and <120 cc, Figure 1. b. Prostate 40 and <60 cc, Figure 1. e. Prostate 120 cc. March 2018 Gulhane Med J 15

Table 1. Patient charecteristics and PSA kinetics for the entire population according to prostate size Entire population (n:326) Group 1: Prostate<40cc (n:74) Group 2: Prostate 40 and <60 cc (n:101) Group 3: Prostate 60 and <80 cc (n:80) Group 4: Prostate 80 and <120 cc (n:36) Group 5: Prostate 120cc (n:35) Age (years) 64.5±8.3 63.3±10.2 63.3±7.4 64.8±8.4 68.2±6.6 65.6±6.5 PSA (ng/ml) 8.1±3.6 7.8±3.7 7.4±3.1 8.5±3.6 8.1±3.6 9.5±4.0 Free PSA (ng/ml) PSAD (ng/ml/cc) Prostate volüme (cc) PSA: Prostate Spesific Antigene,, PSAD: PSA density. 1.6±1.0 1.1±0.6 1.5±1.3 1.8±0.7 1.8±0.7 2.3±1.1 0.16±0.13 0.29±0.22 0.15±0.06 0.12±0.05 0.86±0.04 0.06±0.03 66.3±39.2 29.6±6.7 49.1±5.8 68.5±5.8 96.7±12.0 154.4±37.0 Table 2. Patient charecteristics, PSA kinetics and statistical comparisons for pca (+) and ( ) patients according to prostate size. Age (years) PSA (ng/ml) Free PSA (ng/ ml) PSAD (ng/ml/cc) Prostate volüme (cc) Group 1: Prostate<40cc (n:74) Group 2: Prostate 40 and <60 cc (n:101) pca+ (n:39) pca- (n:35) p value pca+ (n:28) pca- (n:73) p value Group 3: Prostate 60 and <80 cc (n:80) pca+ (n:19) Group 4: Prostate 80 and <120 cc (n:36) Group 5: Prostate 120cc (n:35) pca- (n:61) p value pca+ (n:5) pca- (n:31) p value pca+ (n:7) pca- (n:28) p value 63.9±9.7 62.5±10.8 p 0.05 66.9±8.1 62.0±6.7 p<0.05 70.5±9.7 62.9±7.1 p<0.05 73.0±9.4 67.4±5.9 p 0.05 70.1±7.5 64.5±5.8 p 0.05 8.8±4.3 6.7±2.6 p<0.05 9.4±4.6 6.6±1.9 p<0.05 11.3±4.1 7.6±2.9 p<0.05 9.5±3.4 7.9±3.7 p 0.05 10.1±4.0 9.3±4.0 p 0.05 1.1±0.6 1.0±0.6 p 0.05 2.0±1.2 1.3±0.57 p 0.05 2.0±0.8 1.7±0.7 p 0.05 1.5±0.2 1.8±0.7 p 0.05 2.4±1.0 2.3±1.1 p 0.05 0.33±0.24 0.25±0.18 p<0.05 0.19±0.96 0.13±0.04 p<0.05 0.17±0.06 0.11±0.04 p<0.05 0.10±0.03 0.08±0.04 p 0.05 0.06±0.03 0.06±0.02 p 0.05 29.6±7.3 29.6±6.2 p 0.05 47.8±6.3 49.6±5.5 p 0.05 66.2±5.3 69.2±5.8 p 0.05 97.4±11.9 96.6±12.2 p 0.05 168.0±55.3 150.8±31.2 p 0.05 PSA: Prostate Spesific Antigene,, PSAD: PSA density. pca: Prostate cancer. Table 3. Areas under ROC curves, optimal cut-off levels and sensitivity and specificity values of PSAD. Area under the ROC Mean±SD (95% CI) Optimal cutoff ng/ml/cc Sensitivity Specificity (+) likelihood ratio (-) likelihood ratio Group 1: Prostate<40cc 0.64±0.06(0.51-0.77) 0.22 63% 62% 1.65 0.59 Group 2: Prostate 40 and <60 cc 0.72±0.05(0.60-0.83) 0.13 69% 64% 1.91 0.48 Group 3: Prostate 60 and <80 cc 0.80±0.05(0.69-0.91) 0.12 72% 71% 2.48 0.39 Group 4: Prostate 80 and <120 cc 0.63±0.14(0.34-0.92) 0.08 60% 60% 1.50 0.60 Group 5: Prostate 120cc 0.51±0.12(0.24-0.73) 0.05 71% 41% 1.20 0.70 16 March 2018 Gulhane Med J

eved for group 3 (prostate 60 and <80 cc) and the lowest for group 5 (prostate 120 cc). The optimal cutoff values with high sensitivity and specificity levels were 0.22, 0.13, 0.12, 0.08, and 0.05 ng/ml/cc for group 1,2,3,4, and 5 respectively (table 3). Group 3 (prostate 60 and <80 cc) reached the highest (+) and the lowest (-) likelihood ratios. Discussion PSA is the commonly used tool for pca screening. While a cutoff value of 4.0 ng/ml is frequently used for increased cancer risk, this value often over-diagnose many men and leads morbidities associated with prostate biopsy (6). The main drawback of PSA testing is its lack of specificity. It is not a cancer specific marker, and several conditions like inflammation and benign prostatic hyperplasia (BPH) are known to increase its serum levels. The use of PSA density is based on the premise that BPH may contribute to PSA elevation even in the absence of pca (7). From this point of view, Benson et al. described the concept of PSAD as a ratio of PSA concentration to prostate volume (8). They aimed to enhance the diagnostic accuracy of PSA and found significant differences in mean PSAD between men with pca and BPH. While lower PSAD values are more suggestive for BPH, higher densities are associated with pca (8,9). Subsequent several studies evaluated PSAD in additional clinical settings, and many demonstrated its diagnostic contribution to prostate cancer screening (3,4,10). However some did not confirm this advantage and reported no benefit for PSAD(11). We conducted this study from the point of view that larger prostates may contribute elevated PSA levels. We aimed to evaluate whether or not is there a specific subgroup of patients who benefit most from PSAD screening according to their prostate volume. Our results demonstrated that PSAD and serum total PSA values were significantly higher in pca(+) patients in group 1,2, and 3 (all prostates <80 cc). On the other hand, in group 4 total PSA and PSAD was higher in pca(+) patients but the difference was not statistically significant. In group 5 PSAD was same but total PSA was slightly higher in pca(+) patients. All data was suggestive for insufficient diagnostic accuracy of PSAD with increasing prostate size for prostates greater than 80 cc. The ROC analyses and AUC values showed that the diagnostic value of PSAD initially increased with increasing prostate volume and than decreased (after 80 cc). The most striking result of our study was demonstrating the maximum benefit of PSAD for patients whose prostates 60 and <80 cc (the AUC was 0.80±0.05(0.69-0.91, 95% CI)). The second most benefit group was the second group who had prostates 40 and <60 cc. Another invaluable result of our study was demonstrating the need of different cutoff values for different prostate sizes. The best sensitivity and specificity results were obtained with different cutoff values. While 0.12 ng/ml/cc cutoff value reached 72% sensitivity and 71%specificity for group 3, same cutoff value had 94% sensitivity but 7% specificity for group 1 and 40% sensitivity but 87% specificity for group4. Although these results were in contrast with most previous studies, which usually preferred PSAD cutoff levels near to 0.15 ng/ml7cc (3,12,13), some studies advocated using different total PSA values (14). In their study Stephan et al. reported that 0.05 ng/ml/cc cut0ff value should be used in the total PSA range 2-4 ng/ml and 0.1 ng/ml/cc in total PSA range 4-10 ng/ ml (14). According to our results we concluded that different cutoff levels have paramount importance for different prostate size especially for larger prostates (prostates 80 cc). The most important limitation is that prostate volumes were measured by different operators. Therefore inter-operator bias might interfere with our results. Additionally the study was conducted and performed retrospectively. The greatest value of our study was in demonstrating the greatest diagnostic accuracy of PSAD in prostates 60 and <80 cc. This maximum benefit decreased with increasing prostate volume and reached nearly zero point for prostates greater than 120 cc. the second most important end point was the need for different cutoff values for different prostate volumes. Although prospective and larger studies including different PSA ranges warranted, our study makes an invaluable contribution to the current literature and would be a reference point for further studies. Conflict of Interest The authors declared they do not have anything to disclose regarding conflict of interest with respect to this manuscript. References: 1. Tosoian J, Loeb S. PSA and beyond: the past, present, and future of investigative biomarkers for prostate cancer. Scientific World Journal. 2010;10:1919-1931. 2. Chen CS, Wang SS, Li JR, et al. PSA density as a better predictor of prostate cancer than percent-free PSA in a repeat biopsy. J Chin Med Assoc. 2011;74(12):552-555. 3. Bazinet M, Meshref AW, Trudel C, et al. Prospective evaluation of prostate-specific antigen density and systematic biopsies for early detection of prostatic carcinoma. Urology. 1994;43(1):44-51; discussion 51-52. 4. Seaman E, Whang M, Olsson CA, Katz A, Cooner WH, Benson MC. PSA density (PSAD). Role in patient evaluation and management. Urol Clin North Am. 1993;20(4):653-663. 5. Di Donna A, Bazzocchi M, Guerra UP, et al. The role of the absolute value and "density" of the prostate-specific antigen estimated echographically in the selection of patients to undergo a biopsy in suspected prostatic carcinoma: a comparison between PSA, palpation and echography in 95 patients undergoing echo-guided endorectal prostatic biopsy. Radiol Med 1993;85:84e9. 6. Lin DW, Gold MH, Ransom S, Ellis WJ, Brawer MK. Transition zone prostate specific antigen density: lack of use in prediction of prostatic carcinoma. J Urol. 1998;160(1):77-81. 7. Adhyam M, Gupta AK. A Review on the Clinical Utility of PSA in Cancer Prostate. Indian J Surg Oncol. 2012;3(2):120-129. 8. Benson MC, Whang IS, Pantuck A, et al. Prostate specific antigen density: a means of distinguishing benign prostatic hypertrophy and prostate cancer. J Urol. 1992;147(3 Pt 2):815-816. 9. Andriole GL, Telle WB, Coplen DE, Catalona WJ. PSA index (PSAI) as a predictor of prostate cancer in men with persis- tent serum PSA elevation (abstract). 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1992;147:387A 10. Rommel FM, Agusta VE, Breslin JA, et al. The use of prostate specific antigen and prostate specific antigen density in the diagnosis of prostate cancer in a community based urology practice. J Urol. 1994;151:88 93. 11. Catalona WJ, Richie JP, dekernion JB, et al. Comparison of prostate specific antigen concentration versus prostate specific antigen density in the early detection of prostate cancer: receiver operating characteristic curves. J Urol 1994;152:2031. 12. Ciatto S, Bonardi R, Lombardi C, et al. Predicting prostate biopsy outcome by findings at digital rectal examination, transrectal ultrasonography, PSA, PSA density and free-to-total PSA ratio in a population-based screening setting. Int J Biol Markers. 2001;16:179 182. 13. Ohori M, Dunn JK, Scardino PT. Is prostate-specific antigen density more useful than prostate-specific antigen levels in the diagnosis of prostate cancer? Urology. 1995; 46:666 671. 14. Stephan C, Stroebel G, Heinau M, et al. The ratio of prostate-specific antigen (PSA) to prostate volume (PSA density) as a parameter to improve the detection of prostate carcinoma in PSA values in the range of < 4 ng/ml. Cancer. 2005;104(5):993-1003. 18 March 2018 Gulhane Med J