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Fig. 6 | Lipids in Health and Disease

Fig. 6

From: Discovery of a novel lipid metabolism-related gene signature to predict outcomes and the tumor immune microenvironment in gastric cancer by integrated analysis of single-cell and bulk RNA sequencing

Fig. 6

Construction of an LMRG signature and evaluation of the possibility for independent prognostication. A Venn diagram to identify the common genes of 688 DEGs between three branches and survival-related DE-LMRGs. B and C Cvfit and lambda curves demonstrating minimal criterion LASSO regression. D and E Principal component analysis. F–H Distributions of overall survival and risk scores, as well as risk score distributions. I and J Kaplan‒Meier curves for individuals with GC showing their overall survival and survival without progression. K The ROC curve demonstrates the innovative model's ability to predict 1-, 2-, and 3-year survival rates in GC patients. L The AUC values were obtained to evaluate the risk score's predictive capacity with other prognostic parameters. M and N The impact of the novel prognostic model on the general survival rate was investigated using results from univariate and multivariate Cox regression analyses. O The predictive importance of the newly generated LMRG signature was also validated in the GSE84437 dataset

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Lipids in Health and Disease

ISSN: 1476-511X