The application of RNA sequencing for the diagnosis and genomic classification of pediatric acute lymphoblastic leukemia.

Acute lymphoblastic leukemia (ALL) is the most common childhood malignancy, and implementation of risk-adapted therapy has been instrumental in the dramatic improvements in clinical outcomes. A key to risk-adapted therapies includes the identification of genomic features of individual tumors, including chromosome number (for hyper- and hypodiploidy) and gene fusions, notably ETV6-RUNX1, TCF3-PBX1, and BCR-ABL1 in B-cell ALL (B-ALL). RNA-sequencing (RNA-seq) of large ALL cohorts has expanded the number of recurrent gene fusions recognized as drivers in ALL, and identification of these new entities will contribute to refining ALL risk stratification.

Loss of TOP3B leads to increased R-loop formation and genome instability.

Topoisomerase III beta (TOP3B) is one of the least understood members of the topoisomerase family of proteins and remains enigmatic. Our recent data shed light on the function and relevance of TOP3B to disease. A homozygous deletion for the TOP3B gene was identified in a patient with bilateral renal cancer.

Targeted therapy and disease monitoring in CNTRL-FGFR1-driven leukaemia.

We report two patients with leukaemia driven by the rare CNTRL-FGFR1 fusion oncogene. This fusion arises from a t(8;9)(p12;q33) translocation, and is a rare driver of biphenotypic leukaemia in children. We used RNA sequencing to report novel features of expressed CNTRL-FGFR1, including CNTRL-FGFR1 fusion alternative splicing.

Report of a bi-allelic truncating germline mutation in TP53.

The TP53 gene is fundamental to genomic integrity, cell cycle regulation, and apoptosis; it is the most commonly mutated gene in human cancer. Heterozygous germline mutations cause the autosomal dominant cancer predisposition syndrome, Li-Fraumeni Syndrome. Homozygous germline TP53 mutations in humans are rare.

Use of ubiquitous, highly heterozygous copy number variants and digital droplet polymerase chain reaction to monitor chimerism after allogeneic haematopoietic stem cell transplantation.

Chimerism analysis has an important role in the management of allogeneic hematopoietic stem cell transplantation. It informs response to disease relapse, graft rejection, and graft-versus-host disease. We have developed a method for chimerism analysis using ubiquitous copy number variation (CNV), which has the benefit of a "negative background" against which multiple independent informative markers are quantified using digital droplet polymerase chain reaction.