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

2023#395-002

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.

2023-09-08

2025-06-30

2025-08-31

Recruiting

300

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

{'studyType': 'OBSERVATIONAL', 'patientRegistry': False, 'designInfo': {'observationalModel': 'COHORT', 'timePerspective': 'PROSPECTIVE'}, 'enrollmentInfo': {'count': 300, 'type': 'ESTIMATED'}}

2024-04-30