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Type I interferon subtypes differentially activate the anti-leukaemic function of natural killer cells

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.

Home-based multidisciplinary interventions on skin adverse reactions in EGFR-The Kids-treated patients with lung cancer: a protocol for a randomised controlled trial

Here, we provide a feasible, well-designed protocol of a randomised controlled trial for the assessment of the effects of a home-based multidisciplinary intervention on the severity of skin adverse drug reactions and health-related indicators in patients with non-small cell lung cancer (NSCLC) under epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-The Kids) therapy.

Updates in infant acute lymphoblastic leukemia and the potential for targeted therapy

Outcomes for infants diagnosed under 1 year of age with KMT2A-rearranged acute lymphoblastic leukemia (ALL) have remained stagnant over the past 20 years. Successive treatment protocols have previously focused on intensification of conventional chemotherapy, but increased treatment-related toxicity and chemoresistance have led to a plateau in survival.

Potassium Ion Channels in Malignant Central Nervous System Cancers

Malignant central nervous system (CNS) cancers are among the most difficult to treat, with low rates of survival and a high likelihood of recurrence. This is primarily due to their location within the CNS, hindering adequate drug delivery and tumour access via surgery. Furthermore, CNS cancer cells are highly plastic, an adaptive property that enables them to bypass targeted treatment strategies and develop drug resistance.

World-first research to transform outcomes for First Nations children with cancer

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.

WA Kids Cancer Centre researchers appointed to Brain Cancer Expert Advisory Panel

Dr Jessica Buck and Associate Professor Raelene Endersby have been appointed to the prestigious Australian Brain Cancer Mission Expert Advisory Panel.

A multi-institutional retrospective pooled outcome analysis of molecularly annotated pediatric supratentorial ZFTA-fused ependymoma

ZFTA-RELA (formerly known as c11orf-RELA) fused supratentorial ependymoma has been recognized as a novel entity in the 2016 WHO classification of CNS tumors and further defined in the recent 2021 edition.

Single-nucleus RNA sequencing of pre-malignant liver reveals disease-associated hepatocyte state with HCC prognostic potential

Current approaches to staging chronic liver diseases have limited utility for predicting liver cancer risk. Here, we employed single-nucleus RNA sequencing (snRNA-seq) to characterize the cellular microenvironment of healthy and pre-malignant livers using two distinct mouse models.

Long-term outcomes of symptomatic optic pathway glioma: 32-year experience at a single Western Australian tertiary pediatric oncology center

Optic pathway gliomas (OPGs) are associated with significant risk of visual and endocrine morbidity, but data on long-term outcomes in symptomatic patients is sparse. This study reviews the clinical course, disease progression, survival outcomes and long-term sequelae in pediatric patients with symptomatic OPGs in our institution over three decades.

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.