I’m using ggsurvfit to create a Kaplan–Meier estimator for survival probability. I know that I can add quantiles for different time points by using e.g. add_quantile(x_value = 5). However, I would like to show the survival probability for those quantiles also as a number on the y-axis in percent. Is there any possibility to do this? I have looked up into the ggsurvfit examples and also on stack overflow but have not found anything. Thank you for your support!

survfit2(Surv(time, status) ~ surg, data = df_colon) %>%
ggsurvfit(linewidth = 0.8) +
add_censor_mark(size = 2, alpha = 0.2) +
add_quantile(x_value = 5,  color = "grey30", linewidth = 0.8) +
scale_ggsurvfit()