Genetic Profiling in Acute Myeloid Leukemia: a Path to Predicting Treatment Outcome

Despite substantial progresses in acute myeloid leukemia (AML) diagnosis and treatment, at least half of patient will eventually die for the disease. In the last decades, the use of genetic and genomic approaches allowed the identification of patients with higher risk of recurrence after and/or resistance to CHT. However, though many novel drugs have been proposed and tested, only little clinical improvements have been made concerning the treatment of the so called 'high risk' patients. Areas covered: In this article, the authors, based on their own experience and the most updated literature, review the basic knowledge of AML prognostication and treatment prediction developed throughout genetic and genomic profiling, and focus on the use of gene expression profiling as a promising predictive tool. The role of next generation sequencing, run on qPCR/digital PCR platforms or polyvalent ones such as the Nanostring NCounter™ and RNA-sequencing techniques in the near future will also be briefly discussed. Expert commentary: The authors believe that a combination of genetic (including both germline and somatic data), epigenetic and transcriptional data will represent, in the future, the molecular basis for treatment decision with the highest predictive potential.