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A study on the clinical application value of assisting in the diagnosis of prostate cancer and risk stratification by detecting human PCA3 gene expression prior to biopsy

A study on the clinical application value of assisting in the diagnosis of prostate cancer and risk stratification by detecting human PCA3 gene expression prior to biopsy

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600120348
Enrollment
Unknown
Registered
2026-03-12
Start date
2025-10-20
Completion date
Unknown
Last updated
2026-03-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Prostate cancer

Interventions

Gold Standard:Prostate needle biopsy pathology
Index test:1. Human PCA3 gene expression detection (urine sample, real-time quantitative PCR) 2. Non-invasive multivariate diagnostic model for prostate cancer based on PCA3 combined with clinical ind

Sponsors

The First Medical Center of Chinese People’s Liberation Army General Hospital
Lead Sponsor

Eligibility

Sex/Gender
Male
Age
45 Years to 90 Years

Inclusion criteria

Inclusion criteria: Male patients aged 45 years or older who are scheduled to undergo prostate biopsy and have a PSA level between 4 and 20 ng/mL.

Exclusion criteria

Exclusion criteria: 1. Failure to complete prostate biopsy, resulting in the inability to obtain a definitive diagnosis; 2. Receipt of anti-androgen therapy within the past 12 months; 3. History of prostate cancer or prior prostate cancer–related surgery; 4. Any condition that, in the investigator’s judgment, makes the subject unsuitable for participation in the study.

Design outcomes

Primary

MeasureTime frame
Area under the ROC curve (AUC) of a multivariate diagnostic model for diagnosing prostate cancer;Sensitivity of multivariate diagnostic models;Specificity of multivariate diagnostic models;Accuracy of multivariate diagnostic models;

Secondary

MeasureTime frame
Diagnostic efficacy of PCA3 test under different PSA level stratification and MRI (PI-RADS) scoring stratification;Diagnostic performance of risk stratification models in distinguishing clinically significant prostate cancer (CSPCa) from non-clinically significant prostate cancer;

Countries

China

Contacts

Public ContactShaoxi Niu

The First Medical Center of Chinese People’s Liberation Army General Hospital

niu301urologist@126.com+86 139 1135 3443

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Mar 20, 2026