Clinical Validation of the Prognostic Value of the PrTS on Prostate Cancer Patients

A Single-Center, Retrospective, Blinded Validation Study to Investigate the Prognostic Value of the Prostatype Test System (PrTS) in Prostate Cancer Patients in China

Prostate Cancer is the most common type of cancer among men in many countries. However current clinical tools have limited prediction accuracy to choose the optimal treatment for the individual patient, as prostate cancer risk assessment is a critical aspect of treatment decision-making. A substantial proportion of patients are undergoing over-treatment such as radical treatment, which is often associated with negative physical and psychological side effects, dramatically affecting quality of life in a negative way. Moreover, the patients that are under-treated will face higher cancer mortality risks, which brings more concerns for patients and doctors. Prostatype composes a one-step 4-plex quantitative reverse transcription polymerase chain reaction kit, a database based on authenic patients information and a score system (P-score), intended to measure gene expression levels of three biomarkers: IGFBP3, F3 and VGLL3. Genetic values combined with clinical parameters in the CPMA and P-score are aiming to estimate the aggressiveness of prostate tumor for a newly diagnosed prostate cancer patient. This is a single-center, retrospective, blinded validation study aim to investigate the prognostic performance of the Prostatype test system.

Study Overview

Status

Recruiting

Conditions

Study Type

Observational

Enrollment (Anticipated)

150

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Jiangsu
      • Nanjing, Jiangsu, China, 210000
        • Recruiting
        • Department of Urology, Drum Tower Hospital, Medical School of Nanjing University, Institute of Urology, Nanjing University
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

50 years to 100 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

Male

Sampling Method

Probability Sample

Study Population

Men diagnosed with non-metastatic prostate cancer

Description

Inclusion Criteria:

  • Non-metastatic prostate adenocarcinoma confirmed by histopathology after taking core needle biopsy
  • Regular visits, treatment and laboratory tests were conducted in the past
  • There is biopsy materials at the time of diagnosis (without staining FFPE)
  • The total area of tumor tissue shall be 25-30 mm2, and the proportion of tumor cells after tumor cell enrichment is at least 50%
  • Complete records of relevant clinical follow-up information

Exclusion Criteria:

  • Biopsy tissue is not available, or FFPE does not meet the screening requirements of study samples
  • Relevent clinical parameters of the patients are not available
  • Treatment methods are not available
  • Age of diagnosis < 50 years
  • Age of diagnosis > 100 years
  • Total tumor length < 2 mm
  • The patient died of an accident, homicide or suicide

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Retrospective

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
prostate cancer-specific mortality
Time Frame: up to 36 months
To verify that the prediction performance of risk stratification model (P-score) in the Chinese population is superior to that of the current European Society of Urology (EAU) risk stratification standard with regard to prostate cancer-specific mortality
up to 36 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
metastasis-free survival
Time Frame: up to 36 months
To investigate that the prediction performance of risk stratification model (P-score) in the Chinese population is superior to that of the current European Society of Urology (EAU) risk stratification standard with regard to metastasis free survival
up to 36 months
Prognostic value of the three gene-signature in P-score
Time Frame: up to 36 months
To verify the prognostic value of the three gene-signature (IGFBP3, F3 and VGLL3) in Chinese population, explore their association with prostate cancer-specific mortality and metastasis free survival
up to 36 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

September 1, 2021

Primary Completion (Anticipated)

April 30, 2022

Study Completion (Anticipated)

December 31, 2022

Study Registration Dates

First Submitted

February 10, 2022

First Submitted That Met QC Criteria

February 10, 2022

First Posted (Actual)

February 21, 2022

Study Record Updates

Last Update Posted (Actual)

February 21, 2022

Last Update Submitted That Met QC Criteria

February 10, 2022

Last Verified

February 1, 2022

More Information

Terms related to this study

Other Study ID Numbers

  • IUNU-PC-107

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Prostate Cancer

3
Subscribe