Skip to content

Search

MEIS proteins as partners of the TLX1/HOX11 oncoprotein

Aberrant expression of the TLX1/HOX11 proto-oncogene is associated with a significant subset of T-cell acute lymphoblastic leukemias...

Glucocorticoid resistance in T-lineage acute lymphoblastic leukaemia is associated with a proliferative metabolism

We examined the baseline profile of a panel of T-ALL cell lines to determine factors that contribute to GC resistance without prior drug selection.

Leukaemia Translational Research

The main aim of our Leukaemia Translational Research Team is to test innovative therapeutic approaches, with a focus on clinical translation of this knowledge, to improve the outcomes of children suffering from leukaemia.

Boosting the influenza vaccine schedule in children with cancer: a prospective open-label study

Current immunization guidelines recommend one dose of influenza vaccine for children aged ≥9 years and two doses for younger or vaccine-naïve children. However, children receiving chemotherapy have an attenuated immune response. We performed a prospective open-label study in children undergoing treatment for cancer at Perth Children's Hospital, Western Australia, to examine the safety and efficacy of a boosted influenza schedule.

High Expression of NTRK1 in ETV6::RUNX1 Positive Acute Lymphoblastic Leukaemia Drives Factor Independence and Sensitivity to Larotrectinib

ETV6::RUNX1 is one of the most common recurrent genomic abnormalities in acute lymphoblastic leukaemia (ALL) and is associated with a good prognosis. High expression of NTRK1, encoding tropomyosin receptor kinase A (TrkA), confers a poor prognosis in other malignancies and may contribute to therapy resistance in patients with ETV6::RUNX1 B-ALL.

Invasive fungal disease and antifungal prophylaxis in children with acute leukaemia: a multicentre retrospective Australian cohort study

Invasive fungal disease (IFD) is a common and important complication in children with acute myeloid leukaemia (AML). We describe the epidemiology of IFD in a large multicentre cohort of children with AML.

Invasive fungal disease in children with solid tumors: An Australian multicenter 10-year review

Invasive fungal disease (IFD) occurs less frequently during treatment for solid compared to hematological malignancies in children, and risk groups are poorly defined. Retrospective national multicenter cohort data (2004-2013) were analyzed to document prevalence, clinical characteristics, and microbiology of IFD.

Perspectives on the origin and therapeutic opportunities in Down syndrome-associated leukemia

It is now well accepted that germline or de novo genetic alterations predispose to cancer development, especially during childhood. Among them, constitutive trisomy 21, also known as Down syndrome (DS), has been shown to predispose to acute leukemia affecting both the myeloid (ML-DS) and lymphoid (DS-ALL) lineages. ML-DS is associated with a good prognosis compared to children without DS, due in part to a higher sensitivity to conventional chemotherapy.

Insights into the Clinical, Biological and Therapeutic Impact of Copy Number Alteration in Cancer

Copy number alterations (CNAs), resulting from the gain or loss of genetic material from as little as 50 base pairs or as big as entire chromosome(s), have been associated with many congenital diseases, de novo syndromes and cancer. It is established that CNAs disturb the dosage of genomic regions including enhancers/promoters, long non-coding RNA and gene(s) among others, ultimately leading to an altered balance of key cellular functions.

Reproducible Bioinformatics Analysis Workflows for Detecting IGH Gene Fusions in B-Cell Acute Lymphoblastic Leukaemia Patients

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.