Clinical trial · Observational
Plasma Exosomal RNA Signature for Prostate Cancer Bone Metastasis
Plasma Exosomal RNA Signature for Predicting PSMA PET-Defined Bone Metastasis in Prostate Cancer: A Prospective, Multicenter Discovery, Development, and Validation Study
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
Brief Summary: This prospective, multicenter study aims to discover, develop, and validate a plasma exosomal RNA-based signature as a rule-out test for predicting bone metastasis in prostate cancer, using baseline treatment-naïve PSMA PET as the gold standard. The study is designed in four sequential phases: Phase 1 (Discovery, n=250): High-throughput sequencing of plasma exosomal RNAs to identify differentially expressed candidate RNAs. Phase 2 (Model Development, n=300): Digital droplet PCR (ddPCR) analysis of candidates in an independent cohort to construct and lock the final multi-RNA predictive signature using appropriate machine learning methods. Phase 3 (Internal Validation, n=300): Independent validation of the locked signature in a consecutive cohort reflecting natural disease prevalence. Phase 4 (External Validation, n=150): Final independent validation in a multi-center cohort enriched for bone metastasis. Primary Outcome: To evaluate the diagnostic performance of the signature as a rule-out test for PSMA PET-defined bone metastasis. The primary performance metrics are: Sensitivity, with a prespecified target of ≥95% (to ensure minimal false negatives). Specificity at the threshold that achieves the ≥95% sensitivity. A specificity of ≥30% will be considered supportive of clinical utility. A specificity of ≥30% (or a lower bound of the 95% confidence interval exceeding 20%) will be considered supportive of clinical utility. Need: Current biomarkers lack sensitivity and specificity for early detection of bone metastasis. More importantly, existing tools lack adequate negative predictive value to safely rule out bone metastasis in low-risk patients, leading to over-imaging or delayed detection. There is an urgent need for a non-invasive rule-out test to safely defer PSMA PET/CT in very-low-risk patients. Plasma exosomal RNAs offer a promising liquid biopsy approach, but prospective multicenter studies with rigorous validation are lacking. Secondary Outcomes: 1. Secondary metrics include negative predictive value (NPV), positive predictive value (PPV), area under the ROC curve (AUC), calibration, and decision curve analysis. 2. Correlation between exosomal RNA levels and number of bone metastatic lesions (PSMA PET). 3. Association with PSA, PSMA PET SUVmax, and MRI findings. 4. Tissue-plasma correlation to confirm tumor origin (exploratory). 5. Mechanistic exploration of key candidates via in vitro/in vivo assays (exploratory). 6. Subgroup analyses by hormone sensitivity, metastatic pattern, Gleason grade (exploratory). Inclusion Criteria: 1. Histologically confirmed prostate cancer scheduled for baseline PSMA PET. 2. PSMA PET performed prior to any prostate cancer-related treatment. 3. Blood samples collected prior to any treatment AND prior to prostate biopsy. 4. Willing to undergo prostate biopsy if clinically indicated (after blood collection). 5. Written informed consent. 6. Age ≥18 years. Exclusion Criteria: 1. Any prior prostate cancer treatment before baseline PSMA PET. 2. Blood samples collected after prostate biopsy. 3. Other active malignancy within past two years (excluding non-melanoma skin cancer). 4. Inadequate blood sample quality or quantity. 5. Severe comorbidities interfering with study conduct.
Conditions
Conditions (7)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Biomarker Discovery and Validation | — | UNRESOLVED | — |
| Bone Metastasis | — | UNRESOLVED | — |
| Exosomal RNA | — | UNRESOLVED | — |
| Liquid Biopsy | — | UNRESOLVED | — |
| Prostate Cancer (Diagnosis) | Malignant Prostate Neoplasm | CURATED_EXACT | 0.85 |
| PSMA PET | — | UNRESOLVED | — |
| Treament-naive | — | UNRESOLVED | — |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (1)
- label
- Prostate Cancer Cohort
- description
- A single cohort of 1000 patients with suspected or histologically confirmed prostate cancer who undergo baseline treatment-naïve PSMA PET imaging. All patients provide blood samples for plasma exosomal RNA analysis, collected prior to any treatment and prior to prostate biopsy. This cohort is used for a four-phase biomarker study: Phase 1 (Discovery, n=250) for RNA sequencing to identify candidate biomarkers; Phase 2 (Model Development, n=300) for digital PCR-based signature development; Phase 3 (Internal Validation, n=300) for independent validation in a consecutive cohort; and Phase 4 (External Validation, n=150) for multi-center validation. Bone metastasis status is defined by PSMA PET. Phase 2 and Phase 3 cohorts are temporally and geographically independent. No patient is included in more than one phase
Primary outcomes (1)
- measure
- Specificity of the plasma exosomal RNA-based predictive signature for detecting PSMA PET-defined bone metastasis at a prespecified sensitivity threshold of ≥95%
- timeFrame
- Baseline
- description
- Description: The signature will be developed as a continuous risk score using machine learning in an independent development cohort (Phase 2, n≥300, enriched for bone metastasis). After locking the model, a single cut-off value will be selected in the internal validation cohort (Phase 3, n≥300, reflecting natural disease prevalence) to achieve a sensitivity of ≥95% for detecting PSMA PET/CT-defined bone metastasis. The primary outcome is the specificity of the signature at that cut-off. A specificity of ≥30% (or a lower bound of the 95% confidence interval exceeding 20%) will be considered supportive of clinical utility. Measurement tools and units: Plasma exosomal RNA level: digital droplet PCR (ddPCR), expressed as absolute copy number per mL of plasma. Bone metastasis status: PSMA PET/CT, binary (positive/negative). Sensitivity and specificity: proportions with 95% confidence intervals (Clopper-Pearson exact method).
Eligibility
Eligibility (as posted)
- Sex
- Male
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria 1. Patients with histologically confirmed prostate cancer who are scheduled to undergo baseline PSMA PET imaging. 2. Patients who undergo PSMA PET imaging prior to any prostate cancer-related treatment (including androgen deprivation therapy, radiotherapy, or surgery). 3. Patients who provide blood samples for plasma exosomal RNA analysis collected prior to any treatment AND prior to prostate biopsy (if applicable). Whole blood samples (approximately 10 mL) will be collected in EDTA tubes at this specified time point. Samples will be processed within 2 hours to obtain plasma and stored at -80°C until analysis.This timing ensures circulating exosomal RNA profiles reflect tumor biology without biopsy-induced contamination. 4. Patients who are willing to undergo prostate biopsy if clinically indicated (biopsy performed after blood collection). 5. Patients who provide written informed consent to participate in the study. 6. Age ≥18 years. Exclusion Criteria 1. Patients who have received any prior prostate cancer-related treatment before the baseline PSMA PET scan (including hormonal therapy, radiotherapy, chemotherapy, or surgery). 2. Patients whose blood samples were collected after prostate biopsy. 3. Patients with a history of other active malignancies within the past two years (excluding non-melanoma skin cancer). 4. Patients with inadequate blood sample quality or quantity for exosomal RNA extraction and analysis (e.g., hemolysis, insufficient volume \<8 mL). 5. Patients with severe comorbidities or conditions that, in the judgment of the investigator, could interfere with study compliance or pose significant risk.
References
Publications (0)
Data not yet available