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Application of a Novel Biomarker Based on Plasma cfDNA Assay in the Early Diagnosis of Prostate Cancer

Recruiting
Conditions
Prostate Cancer
Interventions
Diagnostic Test: Blood draw
Registration Number
NCT06509919
Lead Sponsor
Shanghai Changzheng Hospital
Brief Summary

The goal of this diagnostic test is to obtain multiple cell-free DNA (cfDNA) fragment profiles of subjects by whole genome sequencing based on plasma cfDNA, build a prostate cancer prediction model by machine learning, and to validate the efficacy of this model in patients who need to undergo needle prostate biopsy base on their prostate-specific antigen(PSA) or clinical or imaging evidence. Therefore, this study aims to explore the efficacy of this prostate cancer prediction model in distinguishing between patients with PSA "gray zone" (4-10 ng/ml) in the diagnosis of prostate cancer and patients with clinically significant prostate cancer.

Detailed Description

Not available

Recruitment & Eligibility

Status
RECRUITING
Sex
Male
Target Recruitment
1100
Inclusion Criteria
  1. Male, 18-80 years old;

  2. PSA: 4-10ng/ml;

  3. Patients scheduled for prostate biopsy:

    • fPSA(free PSA)/PSA < 0.16 or PSAD(PSA density) > 0.15 (ng/mL/cm³) or PSAV(PSA velocity) > 0.75 (ng/mL/year) ② positive DRE (digital rectal examination) ③suspicious positive lesions on ultrasound/MRI).
Exclusion Criteria
  1. Patients with a prior diagnosis of any malignancy within 5 years;
  2. Patients who have undergone prior transurethral resection or enucleation of the prostate;
  3. Patients who have received prior treatment for prostate cancer, including but not limited to endocrine therapy, targeted therapy, and immunotherapy;
  4. Patients with long-term use of anticoagulant and antiplatelet aggregation drugs (anticoagulant discontinued for less than 1 week);
  5. Received any form of oncological treatment, including surgery, radiotherapy/chemotherapy, endocrine therapy, targeted therapy, and immunotherapy prior to enrollment for blood sampling;
  6. concurrently suffering from other serious systemic diseases that, in the opinion of the investigator, may interfere with the treatment, evaluation and compliance of this trial, including serious respiratory, circulatory, neurological, psychiatric, gastrointestinal, endocrine, immune, urinary and other systemic diseases;
  7. Organ transplant recipients or prior non-autologous (allogeneic) bone marrow or stem cell transplant population;
  8. Subjects who have had a blood transfusion 1 month prior to the blood draw;
  9. Patients who are participating in other clinical trials, or who have participated in other clinical trials that have been completed less than 1 year ago;
  10. Patients who, in the judgment of the investigator, are not suitable for participation in this clinical trial;
  11. Patients who meet any of the above criteria may not be included as subjects.

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
Patients with elevated PSA test results (4-10ng/ml)Blood draw-
Primary Outcome Measures
NameTimeMethod
AUROC value for predicting positive needle biopsy results (prostate cancer) in individuals with PSA levels in the gray zone.Through completion of study and all data analysis which may take up to one and a half years.
Sensitivity for predicting positive needle biopsy results (prostate cancer) in individuals with PSA levels in the gray zone.Through completion of study and all data analysis which may take up to one and a half years.
Specificity for predicting positive needle biopsy results (prostate cancer) in individuals with PSA levels in the gray zone.Through completion of study and all data analysis which may take up to one and a half years.
Secondary Outcome Measures
NameTimeMethod
AUROC value for predicting clinically significant prostate cancer (GS > 7) in pathological results.Through completion of study and all data analysis which may take up to one and a half years.

Trial Locations

Locations (1)

Changzheng hospital

🇨🇳

Shanghai, Shanghai, China

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