Statistical analysis and data mining using GEPIA
Gene expression profile interactive analysis (GEPIA) (http://gepia.cancer-pku.cn/detail.php) was performed to indicate the expression level, stage-specific expression of SPRING1 , and the effect of SPRING1 on survival in diffuse large B-cell lymphoma as a lymphoid disorder. Statistical analysis and visualization were performed using IBM SPSS 26 statistical software (La Jolla, CA, USA) and GraphPad Prism (version 9.0.0.121). All P -values < 0.05 were considered as significant. The measurement of the predictive efficacy of SPRING1 was carried out via the use of receiver operating characteristic (ROC) curve analysis and the area under the ROC curve (AUC) for B-ALL . The AUC value is between 0 to 1, which indicates the diagnostic power based on: 0.9-1.0 (favorable), 0.8-0.9 (appropriate), 0.7-0.8 (acceptable), 0.6-0.7 (weak), and 0.5-0.6 (less) .