miRNA Panel for PCa Diagnosis

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexMale
Age18+
SponsorRenJi Hospital

About this trial

This is a single-center, prospective diagnostic accuracy trial conducted at Renji Hospital, Shanghai Jiao Tong University School of Medicine, led by a team of urology and molecular medicine researchers. A total of 500 male participants aged 18 years or older who meet clinical indications for prostate biopsy will be enrolled between May 2026 and May 2027. All participants have suspected prostate cancer (PCa) based on abnormal prostate-specific antigen (PSA), abnormal digital rectal examination (DRE), suspicious multiparametric MRI (mpMRI), positive family history of prostate cancer, pathogenic gene mutations, or other high-risk clinical findings. Men with confirmed treated prostate cancer, recent prostate-related procedures, active other malignancies, severe organ dysfunction, coagulation disorders, or cognitive impairment that prevents informed consent will be excluded.

The core goal of this study is to test the diagnostic performance of a novel non-invasive blood test using a panel of circulating microRNAs (miRNAs) from serum, and compare it with the standard PSA-based screening tools to distinguish prostate cancer from benign prostatic hyperplasia (BPH). The gold standard for judging true disease status will be pathology results from transrectal ultrasound-guided prostate biopsy. Researchers will calculate key diagnostic metrics including sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the ROC curve (AUC) for the miRNA panel. Secondary analyses will evaluate whether combining the miRNA signature with PSA or mpMRI improves diagnostic accuracy, especially for men with PSA levels in the ambiguous "gray zone" of 4-10 ng/mL. Subgroup assessments will also test how well the miRNA panel differentiates low-risk versus high-risk prostate cancer and clinically significant versus insignificant tumors across different PSA tiers, age groups, mpMRI risk scores and prostate sizes. Additional laboratory testing will confirm the stability of serum miRNAs under different storage temperatures and storage durations, as well as test consistency across operators, reagent batches and detection platforms to validate real-world clinical usability.

For participants, the study only involves a one-time fasting venous blood draw of up to 10 mL before biopsy, with no extra invasive procedures or experimental medications added to routine clinical care. The free miRNA test results can serve as supplementary evidence to help doctors judge whether a prostate biopsy is truly necessary, potentially sparing many patients from unnecessary invasive biopsy and its associated discomfort or complications. All blood samples will be stored under standardized biosafety protocols with de-identified personal data to fully protect participant privacy. Minimal risks include minor temporary bruising or slight pain at the blood draw site, which resolve spontaneously without long-term harm.

Statistical analysis will use three defined datasets (full analysis set, per-protocol set, safety set) and advanced methods including DeLong's test, logistic regression, NRI and IDI to quantify diagnostic improvement versus PSA. A 70% training cohort will build the miRNA diagnostic model, and the remaining 30% of samples will act as an independent validation group to verify model reliability. Safety monitoring will record all adverse events throughout follow-up, with strict ethical oversight following the Declaration of Helsinki and Chinese biomedical research regulations. After sample testing, data analysis and result summarization finish by October 2027, the research team plans to publish 1-2 peer-reviewed SCI papers to share findings globally. If validated, this serum miRNA panel will provide a more precise, non-invasive screening tool to reduce overdiagnosis and unnecessary prostate biopsies, optimize early prostate cancer detection, and lower overall medical burdens for men at risk of prostate disease in clinical practice.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

None

Disqualifiers

None

Trial population

Male patients aged 18 years or older visiting the urology outpatient department of Renji Hospital, Shanghai Jiao Tong University School of Medicine, with clinical indications for prostate biopsy due to suspected prostate lesions. Eligible patients present with abnormal PSA levels, abnormal digital rectal examination, suspicious mpMRI/TRUS/PSMA PET/CT findings, positive prostate cancer family history, or pathogenic prostate cancer-related gene mutations. A total of 500 participants will be enrolled, who will undergo transrectal ultrasound-guided prostate biopsy as the diagnostic gold standard to classify them into prostate cancer and benign prostatic hyperplasia subgroups.

Trial design

Design model

Cohort

Time perspective

Prospective

Treatments tested in this trial

  • Serum microRNA panel detection for prostate lesion differentiation

    Diagnostic test

    This diagnostic test quantitatively detects a custom panel of circulating microRNAs (miRNAs) extracted from fasting serum specimens collected from participants within 24 hours prior to transrectal ultrasound-guided prostate biopsy. Total RNA is isolated from serum samples, reverse-transcribed into cDNA, and quantified via quantitative real-time PCR (qRT-PCR). The miRNA expression signature is used to construct a logistic regression/machine learning diagnostic model, whose discriminatory performance is benchmarked against total PSA, f/t PSA ratio, and multiparametric MRI (mpMRI). Unique aspects of this test include: 1) systematic evaluation of miRNA stability under varied serum storage temperatures and storage durations; 2) assessment of inter-operator, inter-batch reagent, and inter-platform assay reproducibility via coefficient of variation (CV); 3) stratified performance testing across PSA gray zone (4-10 ng/mL), ISUP low/high-risk prostate cancer subgrou

Treatment groups

500 Participants
are divided into 2 treatment groups
Group A: PCa cohort1 intervention
Group B: BPH cohort1 intervention

Trial outcomes

Primary outcomes

1

Area under the receiver operating characteristic curve (AUC) of serum miRNA panel for differentiating prostate cancer from benign prostatic hyperplasia

Evaluate the AUC, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the serum miRNA signature using transrectal ultrasound-guided prostate biopsy pathology as the diagnostic gold standard. Compare the miRNA panel's diagnostic performance against serum total PSA via DeLong test.

Time frame
Completed after pathological diagnosis results of prostate biopsy are available for all enrolled participants, following serum miRNA laboratory testing and statistical analysis of the full study cohort.

Secondary outcomes

1

Incremental diagnostic benefit of serum miRNA panel combined with PSA or mpMRI; stratified diagnostic performance across PSA subgroups and prostate cancer risk tiers

1\. Compare diagnostic gain of miRNA panel vs total PSA and f/t PSA via NRI and IDI; assess combined miRNA-PSA/mpMRI model accuracy especially for PSA gray zone (4-10 ng/mL). 2. Evaluate panel performance stability in PSA \<4, 4-10, \>10 ng/mL strata; distinguish low-risk (ISUP 1-2) vs high-risk (ISUP 3-5) and clinically significant/insignificant prostate cancer.

Time frame
After completion of all biopsy pathology reports, serum miRNA testing and stratified subgroup statistical analyses of the full 500-subject cohort
2

Assay reproducibility and serum miRNA stability under different sample storage conditions

Calculate coefficient of variation (CV) across different operators, reagent batches and detection platforms. Detect miRNA expression changes in serum stored at room temperature, 4°C and -80°C over variable storage durations to verify clinical laboratory suitability.

Time frame
Concurrent with batch serum miRNA laboratory testing throughout participant enrollment and sample processing phase

Other outcomes

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