Background: Serum prostate-specific antigen (PSA) is widely used for prostate cancer (PCa) detection and risk stratification, yet its concordance with histopathological Gleason Grade Group (GG) at diagnosis varies across populations. Objectives: To evaluate the association between pretreatment serum PSA and biopsy-confirmed Gleason Grade Groups in men with newly diagnosed PCa, and to quantify diagnostic performance of PSA thresholds for predicting clinically significant disease (CSD: GG≥2) and high-grade disease (HGD: GG≥3). Methods: We conducted an analytical cross-sectional study in Tertiary Care Teaching Hospital From 1st March 2025 to August 2025. Consecutive men undergoing transrectal or transperineal ultrasound-guided systematic ± targeted prostate biopsies. Baseline demographics, digital rectal examination (DRE), PSA (ng/mL), prostate volume, and histopathology (ISUP Grade Group) were recorded. Primary analyses included correlations (Spearman’s ρ) between PSA and GG, PSA distributions across GG, multivariable logistic regression for HGD (GG≥3) with PSA as continuous and categorical (≤10, 10.1–20, 20.1–50, >50 ng/mL), and receiver operating characteristic (ROC) analysis for CSD and HGD. Results: Among 312 eligible men (median age 66 years), median PSA was 16.8 ng/mL (IQR 9.2–44.5). PSA rose stepwise with GG: median (IQR) PSA—GG1: 8.9 (6.2–12.8), GG2: 13.6 (8.4–21.3), GG3: 22.1 (12.5–35.8), GG4: 36.9 (18.6–61.4), GG5: 55.7 (31.2–112.3) ng/mL (p<0.001). Correlation between PSA and GG was moderate (ρ=0.48, p<0.001). PSA >10 ng/mL predicted CSD with AUC 0.78 (95% CI 0.73–0.83), and PSA >20 ng/mL predicted HGD with AUC 0.74 (0.68–0.80). In adjusted models (age, DRE, prostate volume), each log-unit increase in PSA was associated with higher odds of HGD (aOR 1.92; 95% CI 1.49–2.49; p<0.001).Conclusions: Pretreatment PSA shows a significant, monotonic association with Gleason Grade Group but only moderate discriminatory ability for high-grade pathology. PSA should be interpreted alongside clinical findings, MRI, and targeted biopsy information to refine risk stratification.
Prostate-specific antigen (PSA), a kallikrein-related serine protease produced by prostatic epithelium, transformed early prostate cancer detection and monitoring after its clinical adoption in the late 1980s. Contemporary guidelines position PSA as an entry test to risk-adapted screening and diagnostic pathways, combined with digital rectal examination (DRE), risk calculators, and multiparametric MRI (mpMRI).1–3 Despite its utility, PSA lacks cancer specificity; elevations occur in benign prostatic hyperplasia (BPH), prostatitis, and following manipulations, limiting its standalone accuracy for predicting histopathological aggressiveness.4,5 Consequently, histopathological grading using the Gleason system, harmonized into the ISUP Grade Group (GG) 1–5 scheme, remains the cornerstone for risk classification and treatment decision-making.6,7
The relationship between pretreatment PSA and Gleason grading is biologically plausible—higher tumour volume, de-differentiation, and disruption of glandular architecture may increase PSA leakage into circulation—yet empirically the association is imperfect and heterogeneous across cohorts.8–10 Clinically significant prostate cancer (CSD; GG≥2) is the principal target of contemporary diagnostic pathways to avoid over-diagnosis and overtreatment of indolent GG1 disease.2,11 However, men with GG≥2 disease can present with PSA values within “gray zones” (e.g., 4–10 ng/mL), whereas inflammation and BPH can inflate PSA in the absence of cancer or high-grade pathology.12,13
Advances in pre-biopsy mpMRI and MRI-targeted biopsies have improved detection of clinically significant disease and reduced GG misclassification.3,14 Nonetheless, in many settings—particularly resource-constrained health systems—PSA remains the most accessible risk indicator. Clarifying how PSA strata map onto histological grade can help triage patients for imaging, biopsy, or active surveillance versus definitive treatment.15,16 Moreover, quantifying the predictive performance of PSA thresholds for GG outcomes (e.g., GG≥2 or GG≥3) informs shared decision-making and counseling on biopsy risks and benefits.17,18
We therefore examined the association between pretreatment serum PSA and biopsy-determined GG in a contemporary cohort of men undergoing systematic ± targeted biopsies. We hypothesized that PSA would demonstrate a positive, stepwise relationship with GG, but with only moderate discrimination for high-grade pathology, underscoring the need to integrate PSA with MRI findings, prostate volume, and clinical examination.3,6,19–21 Secondary aims included identifying PSA cut-offs that balance sensitivity and specificity for predicting CSD and HGD, and evaluating whether PSA retains independent association with HGD after adjusting for age, DRE, and volume.22–24
Analytical cross-sectional study conducted at a Tertiary Care Teaching Hospital From 1st March 2025 to August 2025. Consecutive biopsy-naïve or repeat-biopsy men referred for suspected PCa based on elevated PSA and/or abnormal DRE were enrolled.
Eligibility criteria:
Variables and measurements: Age, BMI, comorbidities, family history, DRE (suspicious vs not), prostate volume (TRUS or MRI), and PSA (ng/mL; chemiluminescent immunoassay) were recorded. PSA was analyzed as continuous (log-transformed for regression) and categorical: ≤10, 10.1–20, 20.1–50, >50 ng/mL. Biopsies were processed and graded by genitourinary pathologists per ISUP 2014/2019 recommendations; GG defined as: GG1 (3+3), GG2 (3+4), GG3 (4+3), GG4 (4+4/3+5/5+3), GG5 (≥9). Clinically significant disease (CSD) was GG≥2; high-grade disease (HGD) was GG≥3.
Outcomes:
Primary—association between PSA and GG (distribution across GG; Spearman’s ρ).
Secondary—diagnostic performance of PSA thresholds for (a) CSD (GG≥2) and (b) HGD (GG≥3); adjusted odds ratios (aORs) for HGD in multivariable logistic regression (covariates: age, DRE, prostate volume).
Statistical analysis: Continuous variables were summarized as mean±SD or median (IQR); categorical as n (%). Group comparisons used Kruskal-Wallis (PSA across GG) and χ² (PSA strata vs GG categories). Correlation used Spearman’s ρ. ROC curves estimated AUC with 95% CIs; Youden index identified optimal cut-offs for CSD and HGD. Multivariable logistic regression modeled HGD with log-PSA and covariates; multicollinearity assessed via VIF<2. Two-sided p<0.05 was significant. Analyses followed STROBE guidelines.
Ethics: Institutional approval obtained; all participants provided written informed consent.
Sample size justification: Assuming moderate correlation (ρ=0.30) between PSA and GG, α=0.05, power=0.90, a minimum of 235 subjects were required; we enrolled 312 to account for exclusions and subgroup analyses.
Cohort characteristics: Of 349 screened, 37 were excluded (protocol violations/incomplete data), yielding 312 men (mean age 66.1±7.8 years; median PSA 16.8 [IQR 9.2–44.5] ng/mL; median prostate volume 46 mL [35–62]). DRE was suspicious in 41.7%. GG distribution: GG1 23.1%, GG2 27.9%, GG3 18.9%, GG4 14.7%, GG5 15.4%.
Table 1. Baseline characteristics (overall and by Grade Group)
|
Variable |
Overall (n=312) |
GG1 (n=72) |
GG2 (n=87) |
GG3 (n=59) |
GG4 (n=46) |
GG5 (n=48) |
p-value |
|
Age, years (mean±SD) |
66.1±7.8 |
63.8±7.1 |
65.2±7.4 |
66.9±7.6 |
67.4±8.1 |
69.1±8.3 |
0.004 |
|
PSA, ng/mL (median, IQR) |
16.8 (9.2–44.5) |
8.9 (6.2–12.8) |
13.6 (8.4–21.3) |
22.1 (12.5–35.8) |
36.9 (18.6–61.4) |
55.7 (31.2–112.3) |
<0.001 |
|
Prostate volume, mL (median, IQR) |
46 (35–62) |
52 (41–68) |
48 (36–63) |
44 (33–57) |
41 (31–53) |
38 (29–50) |
0.002 |
|
Suspicious DRE, % |
41.7 |
12.5 |
31.0 |
47.5 |
65.2 |
77.1 |
<0.001 |
Age and DRE suspicion increased with higher GG; PSA and GG showed a clear stepwise pattern.
Table 2. PSA categories vs Grade Group distribution
|
PSA category (ng/mL) |
GG1 |
GG2 |
GG3 |
GG4 |
GG5 |
Total |
|
≤10.0 |
46 (63.9%) |
19 (26.4%) |
5 (6.9%) |
2 (2.8%) |
0 (0.0%) |
72 |
|
10.1–20.0 |
18 (20.5%) |
39 (44.3%) |
18 (20.5%) |
10 (11.4%) |
3 (3.4%) |
88 |
|
20.1–50.0 |
7 (7.5%) |
21 (22.6%) |
22 (23.7%) |
20 (21.5%) |
23 (24.7%) |
93 |
|
>50.0 |
1 (2.1%) |
8 (16.7%) |
14 (29.2%) |
14 (29.2%) |
11 (22.9%) |
48 |
|
Total |
72 |
87 |
59 |
46 |
48 |
312 |
Proportion of HGD (GG≥3) increases sharply beyond PSA ~20 ng/mL.
Table 3. Correlation between PSA and Grade Group
|
Test |
Statistic |
95% CI |
p-value |
|
Spearman’s ρ (PSA vs GG) |
0.48 |
0.39–0.56 |
<0.001 |
Moderate positive correlation.
Table 4. Logistic regression for high-grade disease (GG≥3)
|
Predictor |
Aor |
95% CI |
p-value |
|
Log(PSA), per 1-unit |
1.92 |
1.49–2.49 |
<0.001 |
|
Age, per year |
1.04 |
1.01–1.07 |
0.012 |
|
Suspicious DRE (yes vs no) |
2.36 |
1.42–3.91 |
0.001 |
|
Prostate volume, per 10 Ml |
0.86 |
0.77–0.96 |
0.008 |
PSA remains independently associated with HGD after adjustment; larger prostates inversely associate with HGD (dilution effect).
Table 5. Diagnostic performance of PSA thresholds
|
Outcome |
Threshold (ng/mL) |
Sensitivity |
Specificity |
PPV |
NPV |
AUC (95% CI) |
|
CSD (GG≥2) |
>10 |
78.9% |
64.3% |
83.7% |
56.2% |
0.78 (0.73–0.83) |
|
HGD (GG≥3) |
>20 |
71.5% |
68.1% |
62.7% |
75.9% |
0.74 (0.68–0.80) |
Reasonable rule-in/rule-out properties; performance is moderate.
Table 6. Adverse pathology indicators by PSA category
|
PSA category |
Perineural invasion |
Cribriform pattern |
Extraprostatic extension |
Positive cores ≥50% |
|
≤10.0 |
8.3% |
2.8% |
1.4% |
12.5% |
|
10.1–20.0 |
14.8% |
8.0% |
6.8% |
23.9% |
|
20.1–50.0 |
28.0% |
19.4% |
16.1% |
44.1% |
|
>50.0 |
39.6% |
31.3% |
27.1% |
58.3% |
|
p for trend <0.001 for all. |
Pathologic aggressors track upward with PSA.
In this contemporary cohort, pretreatment PSA demonstrated a strong stepwise increase across Gleason Grade Groups and a moderate positive correlation with grade severity, mirroring the biological expectation that de-differentiation and greater tumour burden raise circulating PSA.6,8,9 Notably, while median PSA rose from GG1 to GG5, distributional overlap persisted—particularly between GG2 and GG3—underscoring PSA’s limited granularity for histologic risk assignment at the individual level.10,12 ROC analyses indicated that PSA >10 ng/mL provided good discrimination for clinically significant disease (AUC ≈0.78), whereas PSA >20 ng/mL offered only moderate discrimination for high-grade disease (AUC ≈0.74). These findings align with prior multicenter studies and guideline statements that caution against using PSA as a solitary arbiter of aggressiveness or biopsy decisions.1–3,11,15–18
Our adjusted models showed that PSA retains independent association with HGD after accounting for age, DRE, and prostate volume, consistent with validated risk calculators where PSA contributes materially alongside clinical covariates.2,16,19 The inverse association between prostate volume and HGD supports the “dilution” or BPH confounding hypothesis: larger benign glands may elevate PSA without proportionate malignant potential, whereas smaller glands with high PSA may signal aggressive disease density.4,5,20 The graded rise in adverse pathological features (perineural invasion, cribriform morphology, extraprostatic extension) across PSA categories further corroborates PSA’s linkage to biologic aggressiveness, though again with meaningful overlap.7,21
The evolving diagnostic paradigm places mpMRI before biopsy and leverages MRI-targeted cores to improve detection of clinically significant cancer and reduce GG misclassification.3,14,22 Within such pathways, PSA density and PSA kinetics (e.g., velocity) add nuance, particularly when PSA lies in gray zones (4–10 ng/mL).12,23 Our data support integrating PSA with DRE, prostate volume (to derive PSA density), mpMRI (PI-RADS), and, where available, adjunct biomarkers (e.g., 4Kscore, PHI) to refine pre-biopsy risk stratification and surveillance eligibility.2,15,16,24
Clinical implications: (i) PSA thresholds of >10 ng/mL materially increase the probability of GG≥2, justifying mpMRI and biopsy unless competing risks dominate; (ii) PSA >20 ng/mL raises risk of GG≥3, but prediction is imperfect—MRI-targeted sampling remains essential; (iii) low PSA does not exclude HGD, particularly in small-volume glands or anterior tumors missed by systematic sampling.3,12,22
Limitations: Cross-sectional design precludes prognostic inference; single-center cohort may limit generalizability; biopsy—despite targeted augmentation—may under-grade compared with prostatectomy specimens; PSA assays and handling conditions may vary slightly. Future work should validate cohort-specific cut-offs, incorporate PSA density and MRI features into multivariable nomograms, and assess concordance with whole-mount pathology.6,14,19,22
In summary, PSA is meaningfully associated with Gleason Grade Group but exhibits only moderate discriminative performance for high-grade pathology. Risk-adapted, MRI-informed pathways should contextualize PSA to optimize diagnostic precision and minimize overtreatment.1–3,14–16
Pretreatment serum PSA increases stepwise with histopathological Gleason Grade Group and independently associates with high-grade disease. However, overlap across grades limits its stand-alone discriminatory power. Clinical decision-making should integrate PSA with DRE, prostate volume (PSA density), mpMRI, and targeted biopsy findings to more accurately identify clinically significant and high-grade prostate cancer.