Fig. 4: SLC25 members with high-risk scores are related to the phenotypes of increasing tumor immune infiltration and decreasing glycolysis and apoptosis in colon cancer and are involved in a nomogram for survival prediction.

A Kaplan–Meier analysis showed that both in the training set from TCGA and validating sets from GSE17536 and GSE39582, patients with high-risk scores had a relatively short OS time. B Clinical cases with high-risk scores showed tumor immune infiltration. C Patients in the high-risk group had significantly higher immune scores than those in the low-risk group. Patients in the high-risk score group had significantly lower glycolysis (D) and apoptosis (E) pathway scores. F Risk score represented as an independent risk factor for predicting the prognosis for patients with colon cancer using multivariate Cox regression anand multivariate Cox regression analyses for overall sualysis. G A nomogram including risk scores showed estimates of the prognosis for cases from the TCGA database. H The calibration curve of the nomogram suggested an optimal agreement between the estimated overall survival outcomes at 1 year, 2 years, and 3 years and the actual observed clinical outcomes of the cases from TCGA and GEO datasets. Statistical analysis: Wilcoxon rank-sum test. ns, nonsignificant, *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.