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

Peking University

Status

Enrolling

Conditions

VHL Syndrome

Renal Cell Carcinoma

Treatments

Genetic: Single cell sequencing, whole genome and metabolomic sequencing

Study type

Observational

Funder types

Other

Identifiers

NCT06391879

2023#395-002

Details and patient eligibility

About

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.

Full 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.

Enrollment

300 estimated patients

Sex

All

Ages

18 to 80 years old

Volunteers

No Healthy Volunteers

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