Fig. 3: Consistent recapture of ecDNA associated survival outcomes and genomic alteration patterns in pan-cancer databases. | Nature Communications

Fig. 3: Consistent recapture of ecDNA associated survival outcomes and genomic alteration patterns in pan-cancer databases.

From: Machine learning-based extrachromosomal DNA identification in large-scale cohorts reveals its clinical implications in cancer

Fig. 3

a Kaplan-Meier overall survival curve comparison between different TCGA focal amplification subtypes. The exact log-rank test P value is 2.56e-50. Forest plots of multivariable (b) overall survival and (c) progression free survival Cox regression analysis for focal amplification subtypes with cancer type as confounding factor in TCGA. The point estimations of hazard ratio derived from Cox regression test and their corresponding 95% confidence level intervals (error bars) are presented. d Kaplan-Meier overall survival curve comparison between different PCAWG focal amplification subtypes. The exact log-rank test P value is 5.08e-38. e Forest plot of multivariable overall survival Cox regression analysis for focal amplification subtypes with cancer type as confounding factor in PCAWG. The point estimations of hazard ratio derived from Cox regression test and their corresponding 95% confidence level intervals (error bars) are presented. Comparison of APOBEC associated mutations between different (f) TCGA and (g) PCAWG focal amplification subtypes. Comparison of copy number signature CN8 contributions between different h TCGA and i PCAWG focal amplification subtypes. Comparison of copy number segments between different (j) TCGA and (k) PCAWG focal amplification subtypes. Comparison of tumor purity between different (l) TCGA and (m) PCAWG focal amplification subtypes. The P values of comparisons in f–m were evaluated by two-sided Mann–Whitney test, with multiple comparison adjusted by FDR approach. Source data are provided as a Source Data file.

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