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. 2023 Feb 13;14:1116839. doi: 10.3389/fimmu.2023.1116839

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Copyright © 2023 Pei, Zhang, Yang, Kang, Chen, Zhao, Dai, Zheng, Xia and Xie

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Construction and Validation of Sphingolipid-Related Prognostic Model. (A) The intersection of genes obtained in single-cell analysis and bulk-RNA analysis. (B) LASSO Cox regression analysis to develop the prognostic model. (C) The role of seven model genes. (D, E) PCA and t-SNE analysis in the training set and validation set, respectively. The seven model genes did a more accurate job of dividing patients into two groups. (F–H) The area under the curve (AUC) values for the TCGA train, test, and full cohort. (I) The areas under the curve at 1, 3, and 5 years for the GEO test group. (J–L) Survival analysis in the TCGA train, test, and entire cohort (P<0.001). (M) Survival analysis in the GSE20685 test cohort.