Fig. 6: Multivariable modelling of the impact of genomic features of HGSOC on overall survival adjusted for baseline clinical factors.

A Univariable modelling of 33 genomic features using a Cox Proportional Hazards (PH) model adjusted for HRD, age at diagnosis and stage at diagnosis and stratified by cohort (N = 277 samples with complete overall survival time and tumour stage data). Forest plot shows log hazard ratios (HRs) and 95% confidence interval (CI) per feature; p-values adjusted for multiple testing, the null hypothesis HR = 1. B As (A) but HRs from one multivariable model including all 33 genomic features plus adjustments. C HRs with 95% CI for selected features from elastic net penalised Cox PH regression model (round points coloured as in B), versus boxplots for HR estimates (centre = median, box = 25% and 75% percentiles, whiskers = 1.5*IQR) from 10 cross-validations of elastic net for the same features. Kaplan–Meier (K–M) plots (N = 279 patients) show overall survival with 95% CI for presence (green curve) and absence (purple curve) of D CDK12 SNV, E deleterious mtDNA mutation F severe chromothripsis (>2 chromosomes affected by chromothripsis). Cox PH HRs and 95% CI are reported for each K–M plot, with p-value rejecting HR = 1 (N = 279 patients). Survival data are in Supplementary Data 12 and 14.