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Cancers in children are very different from cancers in adults - in most cases they appear to strike simply at random. They also develop differently and can spread more rapidly and aggressively. And because cancers in children are not obviously linked to their lifestyles, much work is needed to pinpoint their cause.
Acute leukaemia is the most common childhood malignancy. Almost all cases are classified as acute lymphoblastic leukaemia or acute myeloid leukaemia. Acute leukaemia of ambiguous lineage (ALAL) is a rare form of acute leukaemia that cannot be classified by a single lineage. Like other acute leukaemias, ALAL typically presents with nonspecific symptoms such as fatigue, fever, or bleeding.
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.
Molecular profiling of the tumour immune microenvironment (TIME) has enabled the rational choice of immunotherapies in some adult cancers. In contrast, the TIME of paediatric cancers is relatively unexplored. We speculated that a more refined appreciation of the TIME in childhood cancers, rather than a reliance on commonly used biomarkers such as tumour mutation burden (TMB), neoantigen load and PD-L1 expression, is an essential prerequisite for improved immunotherapies in childhood solid cancers.
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.
Infants with KMT2A-rearranged B-cell acute lymphoblastic leukemia (ALL) have a dismal prognosis. Survival outcomes have remained static in recent decades despite treatment intensification and novel therapies are urgently required.
Natural killer (NK) cells have an intrinsic ability to detect and eliminate leukaemic cells. Cellular therapies using cytokine-activated NK cells have emerged as promising treatments for patients with advanced leukaemia. However, not all patients respond to current NK cell therapies, and thus improvements in efficacy are required.
The large diversity of central nervous system (CNS) tumor types in children and adolescents results in disparate patient outcomes and renders accurate diagnosis challenging. In this study, we prospectively integrated DNA methylation profiling and targeted gene panel sequencing with blinded neuropathological reference diagnostics for a population-based cohort of more than 1,200 newly diagnosed pediatric patients with CNS tumors, to assess their utility in routine neuropathology.