The aim of the present study is to investigate a RNA combination to diagnose prostate cancer.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
1,600
The subjects would receive serum PSA test.
The First Hospital of Lanzhou University
Lanzhou, Gansu, China
General Hospital of Ningxia Medical University
Yinchuan, Ningxia, China
Qinghai University Affiliated Hospital
Xining, Qinghai, China
Weinan Central Hospital
The diagnostic efficacy of plasma exo-RNA panel alone in diagnosing PCa
The 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.
Time frame: The time of prostate biopsy and after 6 months follow-up
Diagnostic efficacy of plasma exo-RNA panel in diagnosing csPCa, insignPCa and its comparison with other imaging methods or blood tests
The 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).
Time frame: The time of prostate biopsy and after 6 months follow-up
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Weinan, Shaanxi, China
Shaanxi Provincial People's Hospital
Xi'an, Shaanxi, China
Xijing 986 Hospital
Xi'an, Shaanxi, China
Xijing Hospital
Xi'an, Shaanxi, China
The Second Affiliated Hospital of Shaanxi University of Chinese Medicine
Xianyang, Shaanxi, China
Affiliated Hospital of Yan'an University,
Yan’an, Shaanxi, China