Whole-genome and whole-transcriptome sequencing enable biologically and clinically meaningful T-ALL subtype classification with greater precision than immunophenotype-based approaches. The genomic landscape of T-ALL is heavily influenced by noncoding alterations, posing a challenge for clinical applications, as their detection often requires whole-genome sequencing. Studies have identified genomic subtypes and genetic alterations that improve the accuracy of patient outcome prediction.
Pölönen et al. (Thu,) studied this question.