Copyright
©The Author(s) 2022.
World J Clin Cases. Sep 16, 2022; 10(26): 9285-9302
Published online Sep 16, 2022. doi: 10.12998/wjcc.v10.i26.9285
Published online Sep 16, 2022. doi: 10.12998/wjcc.v10.i26.9285
Figure 4 Prognostic analysis of the 7 epithelial-mesenchymal transition-associated gene signature model in the derivation cohort.
A: The median value and distribution of the risk scores. B: The results of principal component analysis (PCA) indicated that patients with lung adenocarcinoma (LUAD) were significantly distributed in two regions according to the risk score; C: The results of t-distributed stochastic neighbor embedding (t-SNE) analysis suggested that LUAD patients clustered in two different regions; D: The distributions of the overall survival (OS) status; the results showed that patients with a higher risk score had shorter survival times than those with lower risk scores; E: Kaplan-Meier analysis of OS for patients in the high-risk group and the low-risk group in the derivation cohort. F: The area under the curve (AUC) of the time-dependent receiver operator characteristic curve (ROC) verified the predictive performance of the prognostic risk score in the derivation cohort.
- Citation: Zhou DH, Du QC, Fu Z, Wang XY, Zhou L, Wang J, Hu CK, Liu S, Li JM, Ma ML, Yu H. Development and validation of an epithelial–mesenchymal transition-related gene signature for predicting prognosis. World J Clin Cases 2022; 10(26): 9285-9302
- URL: https://www.wjgnet.com/2307-8960/full/v10/i26/9285.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v10.i26.9285