ggbiplot - how not to use the feature vectors in the plot

I have a dataset data$cell_line.sva, which has dim of 313 11875.

cc.pca <- prcomp(data$cell_line.sva, center = TRUE, scale. = TRUE, retx = TRUE) 
g <- ggbiplot(cc.pca, obs.scale = 1, var.scale = 1, groups = as.factor(cgpResponse), ellipse = TRUE, circle = FALSE)

How can I get rid of the feature names? (the red text)

I cannot quite figure out how this would yield a useful result, but here goes anyway. The names are not something that the function lets you suppress via parameter settings, at least to my reading of the code and help page. So looking at the code it looks as though the labels for the factors are pulled from the $rotations element of the prcomp object. Trying to set those names all to a blank character created an error so I succeeded by setting to the a value of varying lengths of blanks.

data(wine)    # need a reproducible example so use the help page 
 wine.pca <- prcomp(wine, scale. = TRUE)
print(ggbiplot(wine.pca, obs.scale = 1, var.scale = 1, groups = wine.class, ellipse = TRUE, circle = TRUE))
# that was the equivalent of your plot
# Now change the input value

dimnames(wine.pca$rotation)[[1]] <- 
   Reduce(function(x,y) paste0(x,y),    # function to concatentate the lanks
          rep(" ",dim(wine.pca$rotation)[1]),   # corrrect number of blanks
           acc=TRUE)                    # save all intermediate strings
 print(ggbiplot(wine.pca, obs.scale = 1, var.scale = 1, groups = wine.class, 
        ellipse = TRUE, circle = TRUE))
 #Look, Ma! No labels