Establishment of a Multidimensional Prediction Model for the Natural Course of VHL Disease-related Renal Cell Carcinoma

April 29, 2024 updated by: GONG Kan, Peking University First Hospital

Establishment of a Multidimensional Prediction Model for the Natural Course of VHL Disease-related Renal Cell Carcinoma Based on Accurate Genotyping: a Population-based Study

VHL syndrome is a rare hereditary tumor syndrome caused by mutation of tumor suppressor gene VHL. One of the most important clinical manifestations and main cause of death is VHL-related renal cell carcinoma (RCC). Facing the challenges of multilesion of both kidneys, slow progress and life-long repeated surgeries in VHL-related RCC, individualized prediction of the best surgical treatment time and reduction of times of surgeries are very important to improve the prognosis of patients with VHL syndrome. Therefore, there is an urgent need to establish a more effective and accurate prediction model for the natural course of VHL syndrome. This cohort-study aims to retrospectively and prospectively analyze the factors related to the natural course of VHL-related RCC. At the same time, some patients were selected for prospectively continuous molecular evolution dynamic monitoring after comprehensively considering the results of single cell sequencing, whole genome and metabonomic sequencing. This study will provide scientific basis for accurate diagnosis and treatment of natural course of VHL-related RCC.

Study Overview

Detailed Description

VHL syndrome is a rare hereditary tumor syndrome caused by mutation of tumor suppressor gene VHL. One of the most important clinical manifestations and main cause of death is VHL-related renal cell carcinoma (RCC). Previous small sample studies have confirmed that the natural course of VHL-related RCC is different from that of sporadic RCC. Facing the challenges of multilesion of both kidneys, slow progress and life-long repeated surgeries in VHL-related RCC, individualized prediction of the best surgical treatment time and reduction of times of surgeries are very important to improve the prognosis of patients with VHL-related RCC. Therefore, there is an urgent need to establish a more effective and accurate prediction model for the natural course of VHL syndrome. Based on the previous establishment of the largest biobank of VHL syndrome in Asia, as well as the unique characteristics and genotype-phenotypic relationship of patients in Chinese population, this cohort-study aims to retrospectively and prospectively analyze the factors related to the natural course of VHL-related RCC. At the same time, some patients were selected for prospectively continuous molecular evolution dynamic monitoring after comprehensively considering the results of single cell sequencing, whole genome and metabonomic sequencing. This study will systematically analyze the specific molecular characteristic and evolution of VHL-related different from sporadic RCC, reveal new specific driving genes and their molecular regulatory mechanisms, and establish a multi-dimensional prediction model of natural course of VHL-related RCC based on accurate genotyping. It will provide scientific basis for accurate diagnosis and treatment of natural course of VHL-related RCC.

Study Type

Observational

Enrollment (Estimated)

300

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

    • Beijing
      • Beijing, Beijing, China, 100034
        • Recruiting
        • Peking University First Hospital
        • 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

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

Based on the previous establishment of the largest biobank of VHL syndrome in Asia, as well as the unique characteristics and genotype-phenotypic relationship of patients in Chinese population, this cohort-study aims to retrospectively and prospectively incorporated patients with VHL-related RCC.

Description

Inclusion Criteria:

  • Diagnosis of VHL syndrome based on clinical diagnostic criteria or genetic test results of syndrome
  • Upon enrollment, multiple organ assessments for VHL syndrome should be completed, including fundus examination, CT/MR examination of the brain, spinal cord, and abdominal and pelvic organs.
  • If subjects have undergone surgery for renal tumors, the follow-up observation time in each branch center before surgery should be more than 12 months, and imaging examinations should be performed at least once every 6 months.

Exclusion Criteria:

  • Do not meet the clinical diagnostic criteria for VHL disease or the genetic test is negative
  • Other hereditary RCC syndromes

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

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
VHL-related RCC cohort
This cohort incorporates subjects with VHL-related renal cell carcinoma.
The blood specimen of subjects in this cohort would be collected to conduct single cell sequencing, whole genome and metabolomic sequencing.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Tumor growth rate
Time Frame: From date of diagnosis of the VHL-related RCC until the date of surgical treatment, death from any cause or the date of last follow-up, whichever came first, assessed up to 60 years.
The tumor size was measured annually and the tumor growth rate was calculated.
From date of diagnosis of the VHL-related RCC until the date of surgical treatment, death from any cause or the date of last follow-up, whichever came first, assessed up to 60 years.

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Overall survival (OS)
Time Frame: From date of diagnosis of the VHL-related RCC until the date of death from any cause or the date of last follow-up, whichever came first, assessed up to 20 years.
OS was calculated as the time interval from the diagnosis of the VHL-related RCC to death or the time to the last follow-up.
From date of diagnosis of the VHL-related RCC until the date of death from any cause or the date of last follow-up, whichever came first, assessed up to 20 years.
Cancer-specific survival (CSS)
Time Frame: From date of diagnosis of the VHL-related RCC until the date of death from the same disease or the date of last follow-up, whichever came first, assessed up to 20 years.
CSS was calculated as the time interval from the diagnosis of the VHL-related RCC to death from the same disease or the last follow-up.
From date of diagnosis of the VHL-related RCC until the date of death from the same disease or the date of last follow-up, whichever came first, assessed up to 20 years.

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Kan Gong, Peking University First Hospital

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 8, 2023

Primary Completion (Estimated)

June 30, 2025

Study Completion (Estimated)

August 31, 2025

Study Registration Dates

First Submitted

April 25, 2024

First Submitted That Met QC Criteria

April 29, 2024

First Posted (Actual)

April 30, 2024

Study Record Updates

Last Update Posted (Actual)

April 30, 2024

Last Update Submitted That Met QC Criteria

April 29, 2024

Last Verified

April 1, 2024

More Information

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 Renal Cell Carcinoma

Clinical Trials on Single cell sequencing, whole genome and metabolomic sequencing

3
Subscribe