Skip to main content

ORIGINAL RESEARCH article

Front. Oncol., 20 May 2021
Sec. Genitourinary Oncology
This article is part of the Research Topic Insights in Genitourinary Oncology: 2021 View all 19 articles

PSA Density Help to Identify Patients With Elevated PSA Due to Prostate Cancer Rather Than Intraprostatic Inflammation: A Prospective Single Center Study

Salvatore M. BrunoSalvatore M. Bruno1Ugo G. FalagarioUgo G. Falagario1Nicola d&#x;AltiliaNicola d’Altilia1Marco RecchiaMarco Recchia1Vito ManciniVito Mancini1Oscar SelvaggioOscar Selvaggio1Francesca SanguedolceFrancesca Sanguedolce2Francesco Del GiudiceFrancesco Del Giudice3Martina MaggiMartina Maggi3Matteo FerroMatteo Ferro4Angelo PorrecaAngelo Porreca5Alessandro SciarraAlessandro Sciarra3Ettore De BerardinisEttore De Berardinis3Carlo BettocchiCarlo Bettocchi1Gian Maria Busetto*Gian Maria Busetto1*Luigi CormioLuigi Cormio1Giuseppe CarrieriGiuseppe Carrieri1
  • 1Department of Urology and Renal Transplantation, University of Foggia, Foggia, Italy
  • 2Department of Pathology, University of Foggia, Foggia, Italy
  • 3Department of Urology, Sapienza Rome University, Rome, Italy
  • 4Department of Urology, European Institute of Oncology (IEO) IRCCS, Milan, Italy
  • 5Department of Urology, Veneto Institute of Oncology (IOV) IRCCS, Padua, Italy

The association between PSA density, prostate cancer (PCa) and BPH is well established. The aim of the present study was to establish whether PSA density can be used as a reliable parameter to predict csPCa and to determine its optimal cutoff to exclude increased PSA levels due to intraprostatic inflammation. This is a large prospective single-center, observational study evaluating the role of PSA density in the discrimination between intraprostatic inflammation and clinically significant PCa (csPCa). Patients with PSA ≥ 4 ng/ml and/or positive digito-rectal examination (DRE) and scheduled for prostate biopsy were enrolled. Prostatic inflammation (PI) was assessed and graded using the Irani Scores. Multivariable binary logistic regression analysis was used to assess if PSA density was associated with clinically significant PCa (csPCa) rather than prostatic inflammation. A total of 1988 patients met the inclusion criteria. Any PCa and csPCa rates were 47% and 24% respectively. In the group without csPCa, patients with prostatic inflammation had a higher PSA (6.0 vs 5.0 ng/ml; p=0.0003), higher prostate volume (58 vs 52 cc; p<0.0001), were more likely to have a previous negative biopsy (29% vs 21%; p=0.0005) and a negative DRE (70% vs 65%; p=0.023) but no difference in PSA density (0.1 vs 0.11; p=0.2). Conversely in the group with csPCa, patients with prostatic inflammation had a higher prostate volume (43 vs 40 cc; p=0.007) but no difference in the other clinical parameters. At multivariable analysis adjusting for age, biopsy history, DRE and prostate volume, PSA density emerged as a strong predictor of csPCA but was not associated with prostatic inflammation. The optimal cutoffs of PSA density to diagnose csPCa and rule out the presence of prostatic inflammation in patients with an elevated PSA (>4 ng/ml) were 0.10 ng/ml2 in biopsy naïve patients and 0.15 ng/ml2 in patients with a previous negative biopsy. PSA density rather than PSA, should be used to evaluate patients at risk of prostate cancer who may need additional testing or prostate biopsy. This readily available parameter can potentially identify men who do not have PCa but have an elevated PSA secondary to benign conditions.

Introduction

“There is moderate certainty that the benefits of prostate-specific antigen (PSA)-based screening for prostate cancer (PCa) do not outweigh the harms”. In 2012, based on the results of two large-scale randomized clinical trials (RCT’s), the United States Preventive Services Task Force (USPSTF) issued a grade D recommendation discouraging PSA-based screening (1). Since this strategy could lead to a substantial number of men with aggressive disease being missed, the USPSTF issued an updated statement in 2017. While the grade of recommendation remained unchanged for men over 70 years old, it has been changed from D to C in men aged 55-69 years old. PSA testing should be offered to selected man depending on individual circumstances and counseling patients about the potential benefits and harms of PSA-based screening, as this might be associated with a small survival benefit (2). Similarly, European association of urology (EAU) Guidelines suggest offering an individualized risk-adapted strategy for early detection to a well-informed man and a life-expectancy of at least 10 to 15 years (3).

The major limitations of screening using PSA have been underlined in a Cochrane review of five available RCT’s. Screening is associated with an increased diagnosis of PCa, with detection of more localized disease and less advanced PCa with no benefit on PCa-specific and overall survival (4).

Still, screening for PCa is one of the most controversial topics in the urological literature. PSA is not specific for PCa. Several other benign conditions can cause a man’s PSA level to rise such as inflammation and benign prostatic hyperplasia (BPH). To date there is no evidence that inflammation or BPH leads to prostate cancer, but it is possible for a man to have one or both conditions and to develop PCa as well.

In this scenario PSA density, expressed as the PSA value (in ng/ml) divided by prostate volume (in CC), can potentially identify men who do not have PCa but have an elevated PSA secondary to benign conditions.

The association between PSA density, PCa and BPH is well established (5, 6). The aim of the present study was to establish whether PSA density can be used as a reliable parameter to predict csPCa and to determine its optimal cutoff to exclude increased PSA levels due to intraprostatic inflammation.

Materials and Methods

Study Population

This is a prospective single center, observational study evaluating the role of intraprostatic inflammation in prostate cancer screening and treatment. From March 2014 to December 2019, all patients referred to our institution to perform prostate biopsy (PBx) for a PSA ≥ 4 ng/ml and/or positive digital rectal examination (DRE) were enrolled, and data were prospectively entered into our database. Sample size was not computed a priori and according to the protocol we enrolled all eligible patients during the study period. Patients on active surveillance with a previous positive biopsy (n=87), men receiving 5 alfa-reductase inhibitors (5-ARIs) (n=65), or who had previously undergone invasive treatment for BPH (n=36), or with dwelling urethral catheters (n=22) and man with PSA > 20 ng/ml (n=96) were excluded. The study protocol was approved by the University of Foggia Ethics Committee and written informed consent to take part was given by all participants (Decision n. 152/CE/2014 of September 03, 2014; Ethical Committee at the University Hospital “Ospedali Riuniti”, Foggia, Italy).

All patients underwent PSA measurement before DRE and transrectal ultrasound (TRUS). Uroflowmetry (UFM) was carried out with “Flowline II” before PBx, waiting for the patient to report a strong sensation to void. Peak flow rate (Qmax) and ultrasound post void residual volume (PVR) were annotated. Additionally, all patients filled the International Prostate Symptom Score (IPSS) survey (7). Following local non-infiltrative anesthesia (8), prostate biopsy was performed according to our 18 cores standard biopsy template (9) under TRUS guidance (BK Medical Flex Focus 500) and using an 18 gauge/25 cm biopsy needle (Bard Max-Core). As per our protocol, patients had a single shot of cefazolin right before the procedure or a course of quinolones or cotrimoxazole starting the night before the procedure.

Pathological Examination

A senior uropathologist (FS) prospectively evaluated all PBx specimens according to the International Society of Urological Pathology (ISUP) recommendations (10). Additionally, prostatic inflammation (PI) was assessed and graded using the Irani Scores (5) subsequently validated by Sciarra et al. (11). Specifically, the inflammatory infiltration was graded as “G0” = no inflammatory cells, “G1” = scattered inflammatory cell infiltrate within the stroma without lymphoid nodules, “G2” = nonconfluent lymphoid nodules and “G3” = large inflammatory areas with confluence of infiltrate. Inflammatory aggressiveness was graded as “A0” = no contact between inflammatory cells and glandular epithelium (epithelium cells lining acini and ducts), “A1” = contact between inflammatory cell infiltrate and glandular epithelium, “A2” = interstitial inflammatory infiltrate associated with a clear but limited (less than 25% of the examined material) glandular epithelium disruption and “A3” = glandular epithelium disruption on more than 25% of the examined material. Irani total score was computed as the sum of the Irani G and Irani A scores. Grading did not include the types of inflammatory cells (polymorphonuclear leukocytes, lymphocytes, monocytes or plasma cells).

Statistical Analysis

Outcomes of this study were clinically significant PCa (csPCa) defined as Gleason Grade Group (GGG) ≥ 2(≥3+4) and presence of prostatic inflammation defined as Irani total score ≥2. Variables of interest were available in all patients included in the study.

Descriptive statistics was performed for the overall population and according to biopsy results. Continuous variables were reported as median and interquartile range and compared by the Mann-Whitney U-test, whereas categorical variables were reported as rates and tested by the Fisher’s exact test or the chi-square test, as appropriate.

Since inflammation and csPCa often coexists, we stratified patients in four groups (both present, both absent, prostatic inflammation without csPCa and csPCa without inflammation) and we compared clinical characteristics in patients with and without inflammation but no csPCa, and patients with and without inflammation but diagnosed with csPCa. Multivariable binary logistic regression analysis was then used to assess if PSA density was associated with csPCa rather than prostatic inflammation. Age, biopsy history, DRE and PSA density were included in the multivariable model. In order to provide clinicians with a readily available tool to evaluate risk of elevated PSA due to csPCa, rather than inflammation, we graphically presented the histological findings of patients with a PSA >4 ng/ml according to PSA density groups and biopsy history. Finally, the actual probability of biopsy-detected prostate cancer and prostatic inflammation for a given PSA density value were calculated using locally weighted scatterplot (“lowess”) smoothing.

Statistical analyses were performed using Stata-SE 15 (StataCorp LP, College Station, TX, USA) using the following syntax: kwallis, chi2, logistic, graph bar. All tests were 2-sided with a significance level set at p<0.05.

Results

Descriptive Characteristics of the Overall Population

A total of 1988 patients met the inclusion criteria. Clinical characteristics and histopathological results of the overall population and according to biopsy results are shown in Table 1. The majority of patients (78% n=1547) were biopsy naïve. Any PCa and csPCa rates were 47% and 24% respectively. High grade inflammation (Irani G 2-3) was present in 639 (32.1%) patients and 984 (49.5%) patients had highly aggressive inflammation (Irani A 1-2-3). Patients diagnosed with any PCa (GGG1) and csPCa (GGG≥2) were older, had greater PSA and PSA density suspicious DRE and Qmax, but lower prostate volume, PVR and IPSS than those without cancer. Interestingly, high- grade inflammation (Irani G 2-3) was significantly more common in patients with benign prostate than in those with any PCa and csPCa, and the same applied to highly aggressive inflammation (Irani A 1-2-3).

TABLE 1
www.frontiersin.org

Table 1 Clinical characteristics and histopathological results of the overall population and according to biopsy results.

The distribution of mild (Irani total score 2-3) and high (Irani total score >3) prostatic inflammation according to GGG is graphed in Figure 1 showing that these two conditions often coexist.

FIGURE 1
www.frontiersin.org

Figure 1 Intraprostatic inflammation according to Prostate Cancer Gleason Grade Groups. Intraprostatic inflammation was graded using Irani total score and categorized in three groups: no inflammation (Irani Sum 0-1); mild inflammation (Irani Sum 2-3); high inflammation (Irani Sum >3).

Predictors of Prostatic Inflammation and csPCa

To evaluate specific predictors of prostatic inflammation (Irani score>1) we first divided the population in two groups based on the presence or absence of csPCa (Table 2). In the group without csPCa, patients with prostatic inflammation had a higher PSA (6.0 vs 5.0 ng/ml; p=0.0003), higher prostate volume (58 vs 52 cc; p<0.0001), were more likely to have a previous negative biopsy (29% vs 21%; p=0.0005) and a negative DRE (70% vs 65%; p=0.023) but no difference in PSA density (0.1 vs 0.11; p=0.2). Qmax, PVR and IPSS were slightly worse in patients with prostatic inflammation. Conversely in the group with csPCa, patients with prostatic inflammation had a higher prostate volume (43 vs 40 cc; p=0.007) but no difference in the other clinical parameters. At multivariable analysis adjusting for age, biopsy history and DRE, PSA density emerged as a strong predictor of csPCa (OR per 0.1 increase: 2.09; CI: 1.85, 2.35; p<0.001) but was not associated with prostatic inflammation (OR per 0.1 increase: 0.92; CI: 0.84, 1.01; p=0.073) (Table 3).

TABLE 2
www.frontiersin.org

Table 2 Predictors of prostatic inflammation (Irani Score>1) in patients with and without csPCa.

TABLE 3
www.frontiersin.org

Table 3 Univariable and Multivariable analysis to evaluate predictors of intraprostatic inflammation and clinically significant prostate cancer in the overall population (N=1988).

Histological Findings According to PSA Density

Figure 2 graphically present histological findings of man who underwent prostate biopsy for a PSA >4 ng/ml (n=1694) according to biopsy history. Biopsy naïve patients with a PSA density below 0.1, were more likely to be diagnosed with prostatic inflammation (Irani total score >1) rather than csPCa (51% vs 11%, p <0.001). Conversely the rate of patients with csPCa was much higher with a PSA density between 0.10 and 0.15 (22%) and above 0.15 (47%). Similar results were found in patients with a previous negative biopsy, however rates of patients with csPCa were lower at each PSA density cut-off and resulted 6%, 9% and 21% in patients with a PSA density below 0.10, between 0.10 and 0.15 and above 0.15 respectively (all p <0.01). According to these findings, the optimal cutoffs of PSA density to diagnose csPCa and rule out the presence of prostatic inflammation in patients with an elevated PSA (>4 ng/ml) were 0.10 ng/ml2 in biopsy naïve patients and 0.15 ng/ml2 in patients with a previous negative biopsy.

FIGURE 2
www.frontiersin.org

Figure 2 Bar graph showing frequency and rates of csPCa and Inflammation according to PSA density (PSAd) and biopsy history in patients with a PSA>4ng/ml (n=1694). Patients were stratified in four groups according to presence or absence of inflammation and csPCa: both present, both absent, intraprostatic inflammation without csPCa and csPCa without inflammation.

Using the locally weighted scatterplot smoothing method we further evaluated the association between PSA density, csPCa and prostatic inflammation. With increasing PSA density, the actual probability of csPCa increases while the likelihood of prostatic inflammation decreases (Figure 3).

FIGURE 3
www.frontiersin.org

Figure 3 Actual probability of csPCa and prostatic inflammation (Irani score>1) in prostate biopsy samples according to PSA density in patients with PSA>4ng/ml (n=1694).

Discussion

A close correlation has been shown between prostate inflammation, BPH and csPCa.

The inflammatory process of the prostate through the release of cytokines and growth factors, promotes tissue injury, chronic immune response, and abnormal remodeling processes which can result in prostate enlargement and BPH as well as in malignant transformation of high proliferative cells (12).

In this scenario, several interesting findings emerged from our study. First of all, we found that prostatic inflammation and PCa are two conditions that often coexist. Although prostate tissue has been described in the past as an immunological desert, we found that patients with csPCa have moderate and severe inflammation in 30-50% and 5-10%, respectively.

The inflammatory process of the prostate through the release of cytokines and growth factors, promotes tissue injury, chronic immune response, and abnormal remodeling processes (12).

Preclinical studies provide a biological rationale for the association between inflammation and the risk of PCa, however clinical investigations report conflicting results. A recent meta-analysis of 25 studies involving a total of 20585 patients of whom 6641 with PCa demonstrated an inverse relationship between prostate inflammation on biopsy needle and malignant disease (6).

Similarly, in our previous publications we demonstrated that prostatic inflammation is a common finding in prostate biopsy samples, it is associated with benign prostatic obstruction rather than PCa (13) and can be used as a risk stratification tool in patients with a diagnosis of low to intermediate risk of PCa. Indeed, high grade inflammation was associated with a lower risk of upgrading and upstaging in patients undergoing radical prostatectomy (14). Since high grade prostatic inflammation is also associated with higher PSA levels and higher prostate volume, one of the possible explanations to these findings might be the role of prostatic inflammation as a confounding factor in the diagnosis of PCa. On the other side, prostatic inflammation may result in worse LUTS due to prostate enlargement and bladder outlet obstruction resulting in patient’s referral for urological evaluation. What we face here is the question of which comes first, the chicken or the egg. Either way prostatic inflammation and BHP parameters demonstrated an inverse correlation with PCa diagnosis (1517) and with the present study we sought to determine the potential role of PSA density to rule out the presence of PI and benign disease in patients at risk of PCa. We found that PSA density is not affected by the presence of prostatic inflammation while, the actual probability of csPCa increases with increasing PSA density. Although this is, to the best of our knowledge, the first study focusing on PSA density and histologically confirmed prostatic inflammation, several studies corroborate our findings pointing out that PSA density outperform PSA alone in the prediction of csPCa. In a study including 1290 patients, Jue et al. showed that PSA density outperformed total PSA in the diagnosis of csPCa both in patients with a PSA in the “gray zone” (between 4 and 10 ng/ml) and in patients with PSA > 10 mg/ml. The difference in the predictive accuracy of PSA and PSA density was even higher in patients with a previous negative PBx (18).

What is the optimal cut-off of PSA density to suggest a prostate biopsy is still unclear. A PSA density cut-off of 0.15 ng/ml2 was suggested in previous studies (3). However, Nordström et al. showed that a PSA density cutoff of 0.10 and 0.15 ng/ml2 resulted in detection of only 77% and 49% of csPCa. Conversely, omitting prostate biopsy for men with PSA density ≤0.07 ng/ml2 would save 19.7% of biopsy procedures, while missing 6.9% of csPCa (19). In the present study, stratifying the population according to biopsy history, we showed that the optimal cutoffs of PSA density to rule out the presence of prostatic inflammation in patients with an elevated PSA (>4 ng/ml) were 0.10 ng/ml2 in biopsy naïve patients and 0.15 ng/ml2 in patients with a previous negative biopsy.

Still, PSA density it has not been incorporated into the early detection guidelines as a baseline measure because of the lack of precision of both PSA and prostate volume measurements using transrectal ultrasound.

MRI helped to overcome this limitation and recent studies pointed out that the combination of MRI parameters and PSA density could help to predict not only prostate biopsy results (20, 21), but also active surveillance outcomes (22), adverse pathologic features at RP (23) and biochemical recurrence after surgical treatment (24).

While several blood and urine biomarkers and imaging techniques have been developed to predict PCa (25, 26), as far as we know no biomarker is available for the diagnosis of prostate inflammation. At a time when immunotherapy is taking hold, the identification of cases with prostatic inflammation is of considerable interest for targeted immunological therapies (27).

The present study has few limitations. First, this is a single center study and histological evaluation was carried out by a single dedicated genitourinary pathologist. Even if the IRANI score is a validated score, a certain degree of interobserver variability may exist and limit the generalizability of our findings. Additionally, most patients underwent prostate biopsy without a prebiopsy MRI. The potential utility of MRI to rule out the presence of prostatic inflammation, as well as MRI diagnostic accuracy in patients with and without prostate inflammation should be further evaluated. Finally, we enrolled in the present study only patients in whom the clinical suspicion of PCa was deemed enough to perform PBx. While this may represent a potential source of inclusion bias, performing PBx in patients with low risk of PCa would be unethical.

Prostatic inflammation is a common cause of increased PSA. PSA density rather than PSA, should be used to evaluate patients at risk of prostate cancer who may need additional testing or prostate biopsy. This readily available parameter can potentially identify men who do not have PCa but have an elevated PSA secondary to benign conditions.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The study was approved by the local Ethical Committee (Ethical Committee at the University Hospital “Ospedali Riuniti”, Foggia, Italy) and was carried out in agreement with the provisions of the Helsinki Declaration held in 1995. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

UF, SB, GB: study concept and design. Nd’A, FS, OS, VM: acquisition of data. VM, OS, UF, FG, MM: analysis and interpretation of data. UF: statistical analysis. SB, MR, GB: drafting and reviewing the paper. LC, GC, AS, EB, AP, MF, CB: supervision. All authors contributed to the article and approved the submitted version.

Funding

This paper has been published with the financial support of the Dept. of Medical and Surgical Sciences of the University of Foggia.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

1. Moyer VA, Force U.S.P.S.T. Screening for Prostate Cancer: U.S. Preventive Services Task Force Recommendation Statement. Ann Intern Med (2012) 157:120–34. doi: 10.7326/0003-4819-157-2-201207170-00459

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Force U.S.P.S.T, Grossman DC, Curry SJ, Owens DK, Bibbins-Domingo K, Caughey AB, et al. Screening for Prostate Cancer: US Preventive Services Task Force Recommendation Statement. JAMA (2018) 319:1901–13. doi: 10.1001/jama.2018.3710

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Mottet N, van den Bergh RCN, Briers E, Cornford P, De Santis M, Fanti S, et al. Eau - ESTRO - ESUR - SIOG Guidelines on Prostate Cancer 2020. In: . European Association of Urology Guidelines. 2020 Edition. Arnhem, The Netherlands: European Association of Urology Guidelines Office (2020). presented at the EAU Annual Congress Amsterdam 2020.

Google Scholar

4. Ilic D, Neuberger MM, Djulbegovic M, Dahm P. Screening for Prostate Cancer. Cochrane Database Syst Rev (2013) (1):CD004720. doi: 10.1002/14651858.CD004720.pub3

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Irani J, Levillain P, Goujon JM, Bon D, Dore B, Aubert J. Inflammation in Benign Prostatic Hyperplasia: Correlation With Prostate Specific Antigen Value. J Urol (1997) 157:1301–3. doi: 10.1016/S0022-5347(01)64957-7

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Vasavada SR, Dobbs RW, Kajdacsy-Balla AA, Abern MR, Moreira DM. Inflammation on Prostate Needle Biopsy is Associated With Lower Prostate Cancer Risk: A Meta-Analysis. J Urol (2018) 199:1174–81. doi: 10.1016/j.juro.2017.11.120

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Cicione A, Cormio L, Cantiello F, Palumbo IM, D.E.N C, Lima E, et al. Presence and Severity of Lower Urinary Tract Symptoms are Inversely Correlated With the Risk of Prostate Cancer on Prostate Biopsy. Minerva Urol Nefrol (2017) 69:486–92. doi: 10.23736/S0393-2249.17.02737-0

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Cormio L, Pagliarulo V, Lorusso F, Selvaggio O, Perrone A, Sanguedolce F, et al. Combined Perianal-Intrarectal (PI) Lidocaine-Prilocaine (LP) Cream and Lidocaine-Ketorolac Gel Provide Better Pain Relief Than Combined PI LP Cream and Periprostatic Nerve Block During Transrectal Prostate Biopsy. BJU Int (2012) 109:1776–80. doi: 10.1111/j.1464-410X.2011.10622.x

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Cormio L, Scattoni V, Lorusso F, Perrone A, Di Fino G, Selvaggio O, et al. Prostate Cancer Detection Rates in Different Biopsy Schemes. Which Cores for Which Patients? World J Urol (2014) 32:341–6. doi: 10.1007/s00345-012-0989-8

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Epstein JI, Egevad L, Amin MB, Delahunt B, Srigley JR, Humphrey PA, et al. The 2014 International Society of Urological Pathology (Isup) Consensus Conference on Gleason Grading of Prostatic Carcinoma: Definition of Grading Patterns and Proposal for a New Grading System. Am J Surg Pathol (2016) 40:244–52. doi: 10.1097/PAS.0000000000000530

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Sciarra A, Di Silverio F, Salciccia S, Autran Gomez AM, Gentilucci A, Gentile V. Inflammation and Chronic Prostatic Diseases: Evidence for a Link? Eur Urol (2007) 52:964–72. doi: 10.1016/j.eururo.2007.06.038

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Gandaglia G, Zaffuto E, Fossati N, Cucchiara V, Mirone V, Montorsi F, et al. The Role of Prostatic Inflammation in the Development and Progression of Benign and Malignant Diseases. Curr Opin Urol (2017) 27:99–106. doi: 10.1097/MOU.0000000000000369

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Falagario U, Selvaggio O, Carrieri G, Barret E, Sanguedolce F, Cormio L. Prostatic Inflammation is Associated With Benign Prostatic Hyperplasia Rather Than Prostate Cancer. J Gerontol Geriatr (2018) 2018:178–82.

Google Scholar

14. Sanguedolce F, Falagario UG, Castellan P, Di Nauta M, Silecchia G, Bruno SM, et al. Bioptic Intraprostatic Chronic Inflammation Predicts Adverse Pathology At Radical Prostatectomy in Patients With Low-Grade Prostate Cancer. Urol Oncol (2020) 38(10):793.e19–e25. doi: 10.1016/j.urolonc.2020.02.025

CrossRef Full Text | Google Scholar

15. Cormio L, Lucarelli G, Selvaggio O, Di Fino G, Mancini V, Massenio P, et al. Absence of Bladder Outlet Obstruction is an Independent Risk Factor for Prostate Cancer in Men Undergoing Prostate Biopsy. Med (Baltimore) (2016) 95:e2551. doi: 10.1097/MD.0000000000002551

CrossRef Full Text | Google Scholar

16. Cormio L, Cindolo L, Troiano F, Marchioni M, Di Fino G, Mancini V, et al. Development and Internal Validation of Novel Nomograms Based on Benign Prostatic Obstruction-Related Parameters to Predict the Risk of Prostate Cancer At First Prostate Biopsy. Front Oncol (2018) 8:438. doi: 10.3389/fonc.2018.00438

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Cormio L, Lucarelli G, Netti GS, Stallone G, Selvaggio O, Troiano F, et al. Post-Void Residual Urinary Volume is an Independent Predictor of Biopsy Results in Men At Risk for Prostate Cancer. Anticancer Res (2015) 35:2175–82.

PubMed Abstract | Google Scholar

18. Jue JS, Barboza MP, Prakash NS, Venkatramani V, Sinha VR, Pavan N, et al. Re-Examining Prostate-specific Antigen (Psa) Density: Defining the Optimal Psa Range and Patients for Using Psa Density to Predict Prostate Cancer Using Extended Template Biopsy. Urology (2017) 105:123–8. doi: 10.1016/j.urology.2017.04.015

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Nordstrom T, Akre O, Aly M, Gronberg H, Eklund M. Prostate-Specific Antigen (PSA) Density in the Diagnostic Algorithm of Prostate Cancer. Prostate Cancer Prostatic Dis (2018) 21:57–63. doi: 10.1038/s41391-017-0024-7

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Knaapila J, Jambor I, Perez IM, Ettala O, Taimen P, Verho J, et al. Prebiopsy IMPROD Biparametric Magnetic Resonance Imaging Combined With Prostate-Specific Antigen Density in the Diagnosis of Prostate Cancer: An External Validation Study. Eur Urol Oncol (2020) 3(5):648–56. doi: 10.1016/j.euo.2019.08.008

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Distler FA, Radtke JP, Bonekamp D, Kesch C, Schlemmer HP, Wieczorek K, et al. The Value of PSA Density in Combination With PI-RADS for the Accuracy of Prostate Cancer Prediction. J Urol (2017) 198:575–82. doi: 10.1016/j.juro.2017.03.130

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Tosoian JJ, Mamawala M, Epstein JI, Landis P, Macura KJ, Simopoulos DN, et al. Active Surveillance of Grade Group 1 Prostate Cancer: Long-term Outcomes From a Large Prospective Cohort. Eur Urol (2020) 77:675–82. doi: 10.1016/j.eururo.2019.12.017

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Lantz A, Falagario UG, Ratnani P, Jambor I, Dovey Z, Martini A, et al. Expanding Active Surveillance Inclusion Criteria: A Novel Nomogram Including Preoperative Clinical Parameters and Magnetic Resonance Imaging Findings. Eur Urol Oncol (2020) S2588-9311(20):30125–5. doi: 10.1016/j.euo.2020.08.001

CrossRef Full Text | Google Scholar

24. Jambor I, Falagario U, Ratnani P, Perez IM, Demir K, Merisaari H, et al. Prediction of Biochemical Recurrence in Prostate Cancer Patients Who Underwent Prostatectomy Using Routine Clinical Prostate Multiparametric MRI and Decipher Genomic Score. J Magn Reson Imaging (2019) 51(4):1075–85. doi: 10.1002/jmri.26928

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Falagario UG, Busetto GM, Netti GS, Sanguedolce F, Selvaggio O, Infante B, et al. Prospective Validation of Pentraxin-3 as a Novel Serum Biomarker to Predict the Risk of Prostate Cancer in Patients Scheduled for Prostate Biopsy. Cancers (Basel) (2021) 13(7):1211. doi: 10.3390/cancers13071611

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Falagario UG, Martini A, Wajswol E, Treacy PJ, Ratnani P, Jambor I, et al. Avoiding Unnecessary Magnetic Resonance Imaging (MRI) and Biopsies: Negative and Positive Predictive Value of MRI According to Prostate-specific Antigen Density, 4Kscore and Risk Calculators. Eur Urol Oncol (2019) 3(5):700–4. doi: 10.1016/j.euo.2019.08.015

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Cai T, Santi R, Tamanini I, Galli IC, Perletti G, Bjerklund Johansen TE, et al. Current Knowledge of the Potential Links Between Inflammation and Prostate Cancer. Int J Mol Sci (2019) 20(15):3833. doi: 10.3390/ijms20153833

CrossRef Full Text | Google Scholar

Keywords: PSA density, PSA, prostate cancer, Irani score, prostate inflammation

Citation: Bruno SM, Falagario UG, d’Altilia N, Recchia M, Mancini V, Selvaggio O, Sanguedolce F, Del Giudice F, Maggi M, Ferro M, Porreca A, Sciarra A, De Berardinis E, Bettocchi C, Busetto GM, Cormio L and Carrieri G (2021) PSA Density Help to Identify Patients With Elevated PSA Due to Prostate Cancer Rather Than Intraprostatic Inflammation: A Prospective Single Center Study. Front. Oncol. 11:693684. doi: 10.3389/fonc.2021.693684

Received: 11 April 2021; Accepted: 30 April 2021;
Published: 20 May 2021.

Edited by:

Andrea Mari, Careggi University Hospital, Italy

Reviewed by:

Riccardo Tellini, Careggi University Hospital, Italy
Judith Stangl-Kremser, Medical University of Vienna, Austria

Copyright © 2021 Bruno, Falagario, d’Altilia, Recchia, Mancini, Selvaggio, Sanguedolce, Del Giudice, Maggi, Ferro, Porreca, Sciarra, De Berardinis, Bettocchi, Busetto, Cormio and Carrieri. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Gian Maria Busetto, Z2lhbm1hcmlhLmJ1c2V0dG9AdW5pZmcuaXQ=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.