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Dr Sébastien Malinge has received a Stan Perron Charitable Foundation Research Fellowship for his pioneering research, which is paving the way for safer, targeted therapies for children with hard-to-treat leukaemia
A first of its kind research program at The Kids Research Institute Australia aims to develop new strategies to better treat First Nations children with cancer.
Dr Jessica Buck and Associate Professor Raelene Endersby have been appointed to the prestigious Australian Brain Cancer Mission Expert Advisory Panel.
The WA Kids Cancer Centre brings together clinicians and researchers working together to defeat childhood cancer.
Event-free survival considers other adverse events in addition to mortality. It therefore provides a more complete understanding of the effectiveness and consequences of treatment than standard survival measures, but is rarely reported at the population level for childhood cancer.
Pediatric patients with recurrent and refractory cancers are in most need for new treatments. This study developed patient-derived-xenograft (PDX) models within the European MAPPYACTS cancer precision medicine trial.
Glioblastoma, a rare, and highly lethal form of brain cancer, poses significant challenges in terms of therapeutic resistance, and poor survival rates for both adult and paediatric patients alike. Despite advancements in brain cancer research driven by a technological revolution, translating our understanding of glioblastoma pathogenesis into improved clinical outcomes remains a critical unmet need.
BRAF genomic alterations are the most common oncogenic drivers in pediatric low-grade glioma.
Intravascular tumor extension is an uncommon complication of solid malignancies that, when present in the inferior vena cava (IVC), can result in fatal pulmonary tumor embolism. Currently, neoadjuvant chemotherapy and surgery are the mainstays of treatment; however, there are no consensus guidelines for management.
B-cell acute lymphoblastic leukaemia (B-ALL) is characterised by diverse genomic alterations, the most frequent being gene fusions detected via transcriptomic analysis (mRNA-seq). Due to its hypervariable nature, gene fusions involving the Immunoglobulin Heavy Chain (IGH) locus can be difficult to detect with standard gene fusion calling algorithms and significant computational resources and analysis times are required. We aimed to optimize a gene fusion calling workflow to achieve best-case sensitivity for IGH gene fusion detection.