2.6. Statistical analysis

We processed statistical data obtained from TCGA utilizing the R package (version 3.6.3). The comparative analysis of TIGAR expression levels between HCC and normal groups was performed employing the Wilcoxon signed-rank test and Wilcoxon rank-sum test. The influence of Clinicopathological factors on TIGAR expression was evaluated through univariate logistic regression and Fisher’s exact tests.

We performed the Receiver Operating Characteristic (ROC) analysis of TIGAR using the Proc package (version 1.17.0.1). The area under the curve (AUC) was considered significant for our study if it ranged between 0.5 and 1. An AUC value closer to 1 symbolizes superior diagnostic efficacy, with a result above 0.9 signifying elevated accuracy. For all the statistical tests performed, a P-value <0.05 was regarded as significant.

Ethics approval and consent to participate: This article does not contain any studies with human participants or animals performed by any of the authors.