For example, receiver operating characteristic curve (ROC) analysis showed that the expression of SPRY4 intronic transcript 1 (SPRY4 intronic transcript 1, SPRY4-IT1) is a good candidate for distinguishing cervical cancer tissue from normal tissue (sensitivity: 78.3%, specificity: 63.6%), the area under the ROC curve (Area under ROC curve, AUC) was 0.741 (95%CI: 0.632–0.849, P < 0.001), indicating that the diagnostic accuracy of SPRY4 for cervical cancer was higher than that of high [80]. This evidence concerns the gene HAUS3 and cervical carcinoma.