Fig. 4

Construction and validation of the methylation-driven prognosis prediction model in HGSOC. A Consensus clustering of the two CpG sites in the training set. B Risk score distribution of HGSOC patients in the training data set. C Survival status of each HGSOC patient in the training data set. The risk score distribution is consistent with B. D Survival curves of two clusters predicted from the training set using the prognosis model. The log-rank test was used to assess the statistical significance of the difference (p < 0.01). E Consensus clustering of the two CpG sites in the validation set. F Risk score distribution of HGSOC patients in the validation data set. G Survival status of each HGSOC patient in the validation data set. The risk score distribution is consistent with F. H Survival curves of two clusters verified in the validation set using the prognosis model. The log-rank test was used to assess the statistical significance of the difference (p = 0.014)