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Fumarate hydratase-deficient renal cell carcinoma (FH-deficient RCC) is a rare subtype of RCC characterized by germline/somatic mutation of the fumarate hydratase (FH) gene, and is an extremely aggressive tumor, with a propensity to disseminate early even in the setting of a small primary tumor. This project is a real-world exploratory study aiming to explore potential molecular markers detectable at baseline that can enable the prediction of clinical efficacy of systemic treatments in advanced FH-deficient RCC.
This project is a real-world exploratory study aiming to explore potential molecular markers detectable at baseline that can enable the prediction of clinical efficacy of immunotherapy combined with target therapy in advanced FH-deficient RCC.
This study aims to include a total of 100 patients initially diagnosed with advanced FH-deficient RCC. Paired tissue and blood samples collected from all patients before or/ and after the start of immunotherapy-based treatment (at diagnosis or/ and their change with treatment) will be analyzed.
The patient samples will be submitted for molecular analysis, including next-generation sequencing (NGS)-based gene expression profiling (GEP), RNA-sequencing, multiplex immunofluorescence staining and inflammation-related T-cell receptor (TCR) repertoire profiling, ect. The molecular assay results will include but will not be limited to tumor mutation burden (TMB), microsatellite instability (MSI) status, DNA damage repair (DDR)-related gene mutation status, and programmed death-ligand 1 (PD-L1) expression level. Patients will be followed-up for treatment responses until radiological confirmation of disease progression to immunotherapy-based treatment. The molecular assay results will then be analyzed with clinical data including objective responses and progression-free survival outcomes, among others, to identify molecular markers at baseline that are associated with clinical efficacy of immunotherapy-based treatment.
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100 participants in 1 patient group
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Yunze Xu; Jin Zhang
Data sourced from clinicaltrials.gov
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