Optimal prostate-specific antigen cutoff for prostate cancer detection: A prospective cohort study.

Y Yun-Gyoo Lee (Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea) J Jae Yong Jeong (Department of Urology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea) D Dayeon Seo (Sungkyunkwan University School of Medicine, Suwon, South Korea) J Jungwon Choi (Division of Hematology & Medical Oncology, Department of Internal Medicine, Samsung Kangbuk Hospital,, Seoul, South Korea) T Tae Yong Park (Department of Urology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea) J Jong Hyun Pyun (Department of Urology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea) Y Young Sam Cho (Department of Urology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea) H Heung Jae Park (Department of Urology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea) H Han Yong Choi (Department of Urology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea) K Kwan Joong Joo (Department of Urology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea)

Abstract

5109 Background: Serum prostate-specific antigen (PSA) testing is crucial for detecting early stage and low-risk prostate cancer. However, standard and uniform PSA thresholds may underestimate risk in males with smaller prostate volumes and distinct epidemiologic characteristics. We aimed to evaluate data-driven, age-specific PSA thresholds for short-term prostate cancer detection in a large screening cohort. Methods: We analyzed 512,992 PSA measurements from 123,607 asymptomatic males undergoing annual or biennial health checkups in Kangbuk Samsung Cohort Study (KSCS) from 2011 to 2020. Incident prostate cancer within 1-year of each PSA measurement was identified through linkage to the Korea National Cancer Incidence Database. The dataset was randomly partitioned into training (70%) and test (30%) subsets. To estimate cancer risk, logistic regression models incorporating synthetic minority oversampling technique were used. Optimal PSA thresholds were determined using the Youden index in test datasets. Performance was evaluated by accuracy, precision, recall, and F1-score with bootstrap validation. Associations between risk factors and prostate-cancer risk were evaluated using Cox regression models. Results: During follow-up, 224 men developed prostate cancer. The optimal PSA cutoff in the overall population was 2.96 ng/mL. Age-specific thresholds increased with age, with males in their 40s, 50s, 60s, and age ≥70 years demonstrating cutoff values of 1.62, 2.54, 2.76, and 3.79 ng/mL, respectively. These thresholds demonstrated high discriminative performance (accuracy, 0.97; F1-score, 0.92) (Table). PSA values exceeding age-specific thresholds were associated with a 20.7-fold elevated risk of prostate cancer (HR 20.65; 95% CI, 16.33–26.12; P<0.001). Older age, family history of prostate cancer (HR 2.27; 95% CI, 1.58–3.27), and dyslipidemia medication use (HR 2.04; 95% CI, 1.49–2.80) were additional independent predictors. Conclusions: In this large prospective Asian cohort, age-specific PSA thresholds between 1.6 and 3.8 ng/mL provided robust short-term risk discrimination and identified male at substantially higher 1-year prostate cancer risk than those below the thresholds. Implementing age-adjusted PSA reference values may improve the precision and efficiency of early detection strategies in Asian male and better inform risk-adapted screening and diagnostic pathways. To determine their effect on long-term clinical outcomes, prospective validation is warranted. Age-specific PSA cutoffs and performance metrics. Cutoff value Accuracy Precision Recall F1-score Overall 2.96 0.97 0.89 0.96 0.92 40 ≤ Age < 50 1.62 0.93 0.70 0.99 0.82 50 ≤ Age < 60 2.54 0.95 0.80 0.95 0.87 60 ≤ Age < 70 2.76 0.91 0.66 0.99 0.80 Age ≥ 70 3.79 0.90 0.65 0.91 0.76

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
Pages 5109-5109
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (10)

Y

Yun-Gyoo Lee

Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea

J

Jae Yong Jeong

Department of Urology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea

D

Dayeon Seo

Sungkyunkwan University School of Medicine, Suwon, South Korea

J

Jungwon Choi

Division of Hematology & Medical Oncology, Department of Internal Medicine, Samsung Kangbuk Hospital,, Seoul, South Korea

T

Tae Yong Park

Department of Urology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea

J

Jong Hyun Pyun

Department of Urology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea

Y

Young Sam Cho

Department of Urology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea

H

Heung Jae Park

Department of Urology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea

H

Han Yong Choi

Department of Urology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea

K

Kwan Joong Joo

Department of Urology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea