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Plasma Exosome RNA to Diagnose Prostate Cancer

Plasma Exosome RNA Combination for Diagnosing Prostate Cancer: a Prospective, Multicenter Diagnostic Trial

Status
Enrolling by invitation
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06604130
Acronym
exo-PRECISE
Enrollment
1600
Registered
2024-09-19
Start date
2021-03-12
Completion date
2026-12-31
Last updated
2026-07-30

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

Conditions

Prostate Cancer

Keywords

Prostate cancer, RNA, Diagnosis, Combination

Brief summary

The aim of the present study is to investigate a RNA combination to diagnose prostate cancer.

Interventions

DIAGNOSTIC_TESTProstate cancer screening decision

The subjects would receive serum PSA test.

Sponsors

Xijing Hospital
Lead SponsorOTHER
Shaanxi Provincial People's Hospital
CollaboratorOTHER
Yan'an University Affiliated Hospital
CollaboratorOTHER
Weinan Central Hospital
CollaboratorOTHER
The Second Affiliated Hospital of Shaanxi University of Chinese Medicine
CollaboratorOTHER
Affiliated Hospital of Qinghai University
CollaboratorOTHER
General Hospital of Ningxia Medical University
CollaboratorOTHER
LanZhou University
CollaboratorOTHER
Air Force 986 Hospital
CollaboratorOTHER

Study design

Allocation
NA
Intervention model
SEQUENTIAL
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
MALE
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

1. Blood prostate-specific antigen PSA\>4ng/dl; 2. Patients suspected of having prostate cancer through clinical symptoms, digital rectal examination, ultrasound examination, magnetic resonance imaging, and PSMA PET/CT examination. 3. The patient is willing to undergo prostate biopsy.

Exclusion criteria

1. Previous diagnosis of prostate cancer through prostate biopsy; 2. History of other malignant tumors in the past two years; 3. According to the research physician\'s judgment, serious complications may occur and affect the normal conduct of the experiment

Design outcomes

Primary

MeasureTime frameDescription
The diagnostic efficacy of plasma exo-RNA panel alone in diagnosing PCaThe time of prostate biopsy and after 6 months follow-upThe primary outcome is to investigate a plasma-exosome RNA panel in diagnosing prostate cancer and evaluate its sensitivity and specificity in diagnosing PCa. Descriptive statistics were calculated and presented as the frequency (percentage) for categorical variables, the mean (standard deviation) for continuous variables with a normal distribution, and the median (quartile) for continuous variables with a skewed distribution. Two-sample t-tests were used to assess continuous variables with a normal distribution, and the Wilcoxon signed-rank test was used to assess continuous variables with a skewed distribution. The Mann-Whitney U test was used to compare means from two samples. The correlation between two samples was analyzed by Spearman's ρ test. The receiver operating characteristic (ROC) curve was used to determine the cutoff value of exo-RNA panel for diagnosing patients with PCa.

Secondary

MeasureTime frameDescription
Diagnostic efficacy of plasma exo-RNA panel in diagnosing csPCa, insignPCa and its comparison with other imaging methods or blood testsThe time of prostate biopsy and after 6 months follow-upThe secondary outcome is to evaluate the positive predictive value (PPV), negative predictive value (NPV) and accuracy of exo-RNA panel in detection of PCa; to evaluate the perforamce of exo-RNA panel in identifying grade group 2 (GG2) or higher clinically significant prostate cancer (csPCa) tumors and compare the diagnostic performance of the plasma-exosome RNA panel with other imaging methods or blood tests in identifying prostate cancer patients; Whether the exo-RNA panel could predict the PCa patients with higher Gleason score (GS). The comparison between diagnostic performance of exo-RNA panel and other imaging or blood tests is performed in ROC curves. The ICC analysis was performed by reliability analysis. All statistical analyses were conducted using IBM SPSS statistics software, version 23.0 (IBM, Inc., Chicago, IL, USA) and GraphPad Prism software, version 8.0 (GraphPad Software, Inc., La Jolla, CA, USA).

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 31, 2026