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. 2022 Sep 30;101(39):e30813. doi: 10.1097/MD.0000000000030813

Figure 2.

Figure 2.

Construction and validation of the prognostic model of snoRNA signature for HCC. (A) The top 9 (9/42) significant survival-related snoRNAs using univariate cox analysis. (B) Six significant snoRNAs in multivariate cox analysis were screened out (P < .2) as candidates for the risk model construction. The Kaplan–Meier plot of the overall survival (OS) for high-risk and low-risk patients in the training data set (C), testing set (D), and validation set (E). Receiver operating characteristic analysis for the 6-snoRNA signature in predicting the patients of 1, 2, 3, 4, and 5 years OS in the training set (F), testing set (G), and validation set (H). The distribution of the riskscore, patients’ survival status as well as snoRNA expression signature in the training set (I), testing set (J), and validation set (K). A shorter survival time, more dead events and the expression value of 6 snoRNAs ascended or decreased with the elevation of the riskscore. AUC, areas under the ROC curve, HCC = hepatocellular carcinoma, snoRNAs = small nuclear RNAs.