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Plasma exoRNA-Based Liquid Biopsy to Diagnose Clinically Significant Prostate Cancer

Plasma exoRNA-Based Liquid Biopsy to Diagnose Clinically Significant Prostate Cancer

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07492927
Enrollment
1700
Registered
2026-03-25
Start date
2021-03-12
Completion date
2027-06-30
Last updated
2026-03-25

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

Conditions

Clinically Significant Prostate Cancer

Brief summary

The aim of the present study is to investigate a plasma exosome RNA signature to diagnose clinically significant prostate cancer.

Interventions

None listed

Sponsors

Xijing Hospital
Lead SponsorOTHER
Shaanxi Provincial People's Hospital
CollaboratorOTHER
Weinan Central Hospital
CollaboratorOTHER
Shaanxi University of Chinese Medicine
CollaboratorOTHER
LanZhou University
CollaboratorOTHER
Qinghai University
CollaboratorOTHER
Ningxia Medical University
CollaboratorOTHER
Northwestern University
CollaboratorOTHER
Yan'an University Affiliated Hospital
CollaboratorOTHER
Air Force Military Medical University, China
CollaboratorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

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

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. 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 csPCaThe time of prostate biopsyThe primary outcome is to investigate a plasma-exosome RNA panel in diagnosing clinically significant prostate cancer (csPCa) and evaluate its sensitivity and specificity in diagnosing csPCa. 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 csPCa.

Secondary

MeasureTime frameDescription
Diagnostic efficacy of plasma exo-RNA panel in diagnosing csPCa and its comparison with other imaging methods or blood testsThe time of prostate biopsyThe secondary outcome is to evaluate the positive predictive value (PPV), negative predictive value (NPV) and accuracy of exo-RNA panel in detection of csPCa; 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, United States

Contacts

CONTACTJianhua Jiao, MD.
1531769428@qq.com+86 029 84771062
STUDY_CHAIRWeijun Qin, MD.

Xijing Hospital

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 26, 2026