Therefore, we hypothesized that supervised profiling of 100 well-characterized T-ALL cases could identify KMT2A- and MLLT10-deregulated genes and signaling networks allowing the development of targeted therapies in T-ALL. Here, MLLT10 is linked to acute lymphoblastic leukemia.