Fig. 5: The relationship between heterogeneity and clinical characterization in SCLC. | Nature Communications

Fig. 5: The relationship between heterogeneity and clinical characterization in SCLC.

From: Multi-region exome sequencing reveals the intratumoral heterogeneity of surgically resected small cell lung cancer

Fig. 5

a A heatmap displaying the clinical information and genomic features for each patient (n = 40). The Kaplan–Meier plot depicts the estimation of disease-free survival (b) and overall survival (c) with parameters including SNV ITH, CNV ITH, mutation cluster, and TMB per cluster. The p value and hazard ratio were determined using the two-sided log-rank test. The forest plot showing multiple covariate Cox regression analysis of disease-free survival (d) and overall survival (e) by subgroups including age, smoking, tumor size, stage, and ITH in SCLC. A two-sided, unpaired, Wilcoxon rank test was performed for the statistical comparison among subgroups. WGD, whole-genome duplication; GII genome instability index, MSI microsatellite instability, SNV single-nucleotide variant, CNV copy number variation, ITH intratumoral heterogeneity, P-SCLC pure small cell lung cancer, C-SCLC combined small cell lung cancer, TMB tumor mutation burden, HR hazard ratio, CI confidence interval.

Back to article page