Prism software

Statistical analyses applied were descriptive in nature. Differences in cfDNA yields EDTA- and Streck- tubes were tested using the nonparametric Mann-Whitney test. Analyses were done using GraphPad Prism Software v 8.0. and IBM SPSS Statistics 23. P-values < 0.05 were considered significant.

X-tile software (Version 3.6.1) (21 (link)) was used to determine the optimal cutoff values for expression profile of m6A-related genes. Mann–Whitney test was used to analyze the expression difference between ccRCC samples and tumor-adjacent normal tissues. Chi-square test was used to evaluate the association between YTHDF2 and each clinicopathological characteristics of ccRCC patients, ignoring the effect of the other characteristics (shown as P-value). Multiple logistic regression model and Wald test were used to determine the association between YTHDF2 and each clinicopathological characteristic of ccRCC patients, adjusting for the effect of the other characteristics (shown as adjusted P-value). Log-rank test and Kaplan–Meier curve were used to compare the survival times. According to Cox hazards regression (HR) model, univariate and multivariate survival analyses were used to analyze the independent parameters associated with the OS. Prism software (Version 6.0), SPSS (Version 16.0), and SAS (Version 9.4) were used to perform data statistics. P < 0.05 was considered to be statistically significant.

All statistical analyses were performed using SSPS 19.0 (SPSS Inc., Chicago, IL, USA) and Prism software (version 6.0). Two-way analysis of variance (ANOVA) with Bonferroni’s post hoc’s test was used to examine significant differences between the groups. All results are presented as mean values ± standard error of mean (SEM), and p < 0.05 was considered as statistically significant difference.

Statistical analysis was carried out using the SPSS statistical software program or Prism software. Post-hoc power analysis of the present study was performed using G^*Power (version 3.1) (http://www.gpower.hhu.de/). Genotype distribution, allele frequencies, and consistency with the Hardy–Weinberg equilibrium was analyzed using Chi-square (χ²) test. Linkage disequilibrium (LD) parameters delta coefficient (D′) and r squared (r²) of the population, as well as haplotype analysis, were calculated by comparisons among the SNPs using the Haploview software version 4.2 and SNPStats online software (http://bioinfo.iconcologia.net/snpstats/start.htm). The χ² test, analysis of variance (ANOVA), or t-test are used to conduct a possible association between SNPs and clinical-demographic features. Logistic regression analysis was performed to predict the probability occurrence of BP. Shapiro–Wilk test was applied to verify the normality of data distribution and differences between groups, where Mann–Whitney t-test was used to analyze a non-Gaussian distribution. Data were expressed as median with interquartile range and a P < 0.05 was considered statistically significant. The P-value was corrected (Pc) for multiple analysis using the Bonferroni method.

Statistical analyses were performed using SPSS software (v.21.0, SPSS Inc., Chicago, IL, USA) while graphs were produced using Prism software (v.6.0. GraphPad Inc., La Jolla, CA, USA). Non-parametric data was analysed using a Mann-Whitney U test for two groups and Kruskal-Wallis followed by Dunn’s post-hoc testing for three or more groups. Parametric data, with or without log transformation, was analysed using a Student’s t test for two groups or one-way ANOVA followed by Tukey’s post-hoc comparison test for three or more groups. All data in the text and tables is presented as the mean ± standard deviation (SD). Chi-squared and Fisher’s exact tests were used to compare categorical variables (diabetes status, sex). The significance level for alpha was set at P ≤ 0.05.