diff --git a/invivos/app.R b/invivos/app.R
index 820db34..d614c87 100755
--- a/invivos/app.R
+++ b/invivos/app.R
@@ -521,7 +521,7 @@ server <- function(input, output) {
             tableR<-filter(table, `ID tumor` == side) %>% filter(!is.na(Volume))
             endtime<-dcast(tableR %>% filter(Volume < cutoff), Cage+`ID animal`+`ID tumor`+Group~., value.var = "Timepoint", fun.aggregate = function(x){max(as.numeric(as.character(x)))}) %>% rename("end"=".")
             endtime["Dead"]<-dcast(tableR, Cage+`ID animal`+`ID tumor`+Group~., value.var = "Volume", fun.aggregate = function(x){max(as.numeric(as.character(x)))}) %>% pull(".") > input$cutoff
-            table_tumor<<-endtime
+            table_tumor<-endtime
             if (input$colors != ""){
               col<-input$colors
             }else{
@@ -544,6 +544,10 @@ server <- function(input, output) {
           }else{
             col<-gg_color_hue(length(unique(table_tumor$Group)))
           }
+          tableR<-table %>% filter(!is.na(Volume))
+          endtime<-dcast(tableR %>% filter(Volume < cutoff), `ID animal`+Group~., value.var = "Timepoint", fun.aggregate = function(x){max(as.numeric(as.character(x)))}) %>% rename("end"=".")
+          endtime["Dead"]<-dcast(tableR, `ID animal`+Group~., value.var = "Volume", fun.aggregate = function(x){max(as.numeric(as.character(x)))}) %>% pull(".") > input$cutoff
+          table_tumor<-endtime
           g<-ggsurvplot(survfit(Surv(table_tumor$end, table_tumor$Dead) ~ table_tumor$Group, data=table_tumor),
                         pval = T, pval.method = T,
                         # legend.labs = paste(c("< median", ">= median"), "MICA"),