Multi-omics Analysis of Renal Cell Carcinoma Mechanisms; Drug Sensitivity Testing in Patient-Derived Cell-based Microtumors

Arms (1)

1. label

   Study Cohort

   description

   All enrolled participants undergo the same study procedures. This includes surgical resection of the renal cell carcinoma tumor, followed by multi-region sampling of intratumoral nodules for integrated multi-omics analysis (single-cell RNA sequencing, whole-exome sequencing, spatial transcriptomics) and the generation of patient-derived microtumor (PTC) models for ex vivo drug sensitivity testing.

   interventionNames

   1. Diagnostic Test: Multi-region Tumor Sampling and Integrated Multi-omics Analysis and Microtumor PTC Drug Sensitivity Assay

Primary outcomes (1)

1. measure

   Identification of Intra-tumoral Nodule Driving Relationships

   timeFrame

   Through study completion, an average of 16 months

   description

   The primary outcome is the bioinformatic inference of potential clonal evolutionary "driver-subordinate" relationships between different intratumoral nodules within the same RCC tumor. This is determined by integrating multi-region single-cell RNA sequencing and whole-exome sequencing data. Key analyses include: 1) Comparative analysis of mutational landscapes and copy number variations across nodules to identify shared trunk mutations and private branch mutations. 2) Pseudotime trajectory analysis of single-cell data to reconstruct the potential temporal sequence of nodule emergence. A relationship will be inferred if a consistent pattern of shared ancestral mutations and/or a unidirectional differentiation trajectory is identified.