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. We used RNA-seq on 126 ALL patients from our clinical service to test the utility of including RNA-seq in standard-of-care diagnostic pipelines to detect gene rearrangements and IKZF1 deletions. RNA-seq identified 86% of rearrangements detected by standard-of-care diagnostics. KMT2A (MLL) rearrangements, although usually identified, were the most commonly missed by RNA-seq as a result of low expression. RNA-seq identified rearrangements that were not detected by standard-of-care testing in 9 patients. These were found in patients who were not classifiable using standard molecular assessment. We developed an approach to detect the most common IKZF1 deletion from RNA-seq data and validated this using an RQ-PCR assay. We applied an expression classifier to identify Philadelphia chromosome-like B-ALL patients. T-ALL proved a rich source of novel gene fusions, which have clinical implications or provide insights into disease biology. Our experience shows that RNA-seq can be implemented within an individual clinical service to enhance the current molecular diagnostic risk classification of ALL.

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. Analyses in both patient and modelled human cells show the disruption of TOP3B causes genome instability with a rise in DNA damage and chromosome bridging (mis-segregation). The primary molecular defect underlying this pathology is a significant increase in R-loop formation. Our data show that TOP3B is necessary to prevent the accumulation of excessive R-loops and identify TOP3B as a putative cancer gene, and support recent data showing that R-loops are involved in cancer aetiology.

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. From this knowledge, we designed and tested a Droplet Digital PCR assay that detects CNTRL-FGFR1 expression to approximately one cell in 100 000 using fusion breakpoint-specific primers and probes. We also utilised cell-line models to show that effective tyrosine kinase inhibitors, which may be included in treatment regimens for this disease, are only those that block FGFR1 phosphorylation.

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. We report an infant from a consanguineous family who presented with synchronous malignancies. Remarkably, he carries a homozygous germline TP53 mutation (NM_000546.4:c.52delA), predicted to cause protein truncation. The family history is consistent with Li-Fraumeni syndrome.

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. A panel of up to 38 CNV markers with homozygous deletion frequencies of approximately 0.4-0.6 were used. Sensitivity, precision, reproducibility, and informativity were assessed. CNV chimerism results were compared against established fluorescence in situ hybridization, single nucleotide polymorphism, and short tandem repeat-based methods with excellent correlation. Using 30 ng of input DNA per well, the limit of detection was 0.05% chimerism and the limit of quantification was 0.5% chimerism. High informativity was seen with a median of four informative markers detectable per individual in 39 recipients and 43 donor genomes studied. The strength of this approach was exemplified in a multiple donor case involving four genomes (three related). The precision, sensitivity, and informativity of this approach recommend it for use in clinical practice.