Identification of genetic targets in acute myeloid leukaemia for designing targeted therapy.

Few effective therapies exist for acute myeloid leukaemia (AML), in part due to the molecular heterogeneity of this disease. We sought to identify genes crucial to deregulated AML signal transduction pathways which, if inhibited, could effectively eradicate leukaemia stem cells. Due to difficulties in screening primary cells, most previous studies have performed next-generation sequencing (NGS) library knockdown screens in cell lines. Using carefully considered methods including evaluation at multiple timepoints to ensure equitable gene knockdown, we employed a large NGS short hairpin RNA (shRNA) knockdown screen of nearly 5 000 genes in primary AML cells from six patients to identify genes that are crucial for leukaemic survival. Across various levels of stringency, genome-wide bioinformatic analysis identified a gene in the NOX family, NOX1, to have the most consistent knockdown effectiveness in primary cells (P = 5∙39 × 10-5 , Bonferroni-adjusted), impacting leukaemia cell survival as the top-ranked gene for two of the six AML patients and also showing high effectiveness in three of the other four patients. Further investigation of this pathway highlighted NOX2 as the member of the NOX family with clear knockdown efficacy. We conclude that genes in the NOX family are enticing candidates for therapeutic development in AML.

Large-Scale Identification of Clonal Hematopoiesis and Mutations Recurrent in Blood Cancers.

Clonal hematopoiesis of indeterminate potential (CHIP) is characterized by detectable hematopoietic-associated gene mutations in a person without evidence of hematologic malignancy. We sought to identify additional cancer-presenting mutations useable for CHIP detection by performing a data mining analysis of 48 somatic mutation studies reporting mutations at diagnoses of 7,430 adult and pediatric patients with hematologic malignancies. Following extraction of 20,141 protein-altering mutations, we identified 434 significantly recurrent mutation hotspots, 364 of which occurred at loci confidently assessable for CHIP. We then performed an additional large-scale analysis of whole exome sequencing data from 4,538 persons belonging to three non-cancer cohorts for clonal mutations. We found the combined cohort prevalence of CHIP with mutations identical to those reported at blood cancer mutation hotspots to be 1.8%, and that some of these CHIP mutations occurred in children. Our findings may help to improve CHIP detection and pre-cancer surveillance for both children and adults.