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) .