Herein, we selected the top 10 genes (CEACAM19, PIGP, FADD, FIBP, FIBP, GNE, IGF1R, MKL1, PIGP, and SLC39A6) from a GEP dataset of 217 CLL cases comprising roughly 20,000 genes using a novel deep ML-based approach to estimate how much every single gene had a role in predicting the therapy need occurrence. This evidence concerns the gene CEACAM19 and B-cell chronic lymphocytic leukemia.