Validation of ITPR2, DPF3, EPAS1 and PVT1 -associated SNPs as biomarkers for RCC in an independent case-control cohort. Datasets generated and employed for statistical analyses

Important: The datasets are completely anonymised, generating their own identifier for each one according to the order in which the observations are found. Therefore, observation P1 from the first dataset will only be valid for that single dataset. Dataset 1: RCC_genotype_clin_survival.xlsx The file RCC_genotype_clin_survival.xlsx contains a dataset comprising 155 observations (155 RCC patients) and 20 variables, including genotyping data together with clinical, sociodemographic, and survival-related variables. Genotyping variables.Qualitative data describing the alleles detected in each sample for the following single nucleotide polymorphisms (SNPs): ITPR2-rs1049380, ITPR2-rs10771279, DPF3-rs4903064, EPAS1-rs7579899, and PVT1-rs35252396. Alleles are reported in their original form, and dominant and recessive genetic models were subsequently generated through value aggregation. Clinical variables.Variables related to RCC staging and disease progression, including RCC stage (I–IV), T status (pT1a, pT1b, pT2, pT2a, pT3a, pT3b, pT3c, pT4), N status (N0, NX, N1), aggregated T status (T_agg; 1: pT1a, pT1b, pT2, pT2a; 2: pT3a, pT3b, pT3c, pT4), metastatic status at diagnosis (0: absence, 1: presence), and post-treatment metastatic status (MTC_POST; 0: no metastasis, 1: metastasis). Survival variables.Variables used to compute overall survival (OS), including recalculation of 5-year OS based on the original data. These variables include CLASS (survival status: 0 = censored or death due to causes unrelated to RCC; 1 = death due to RCC), and OS, defined as the time (in months) from RCC diagnosis to death or censoring. Sociodemographic variables.Patient sex (M: male; F: female) and age group (0: