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Biological changes associated with T-ALL relapse and resistance are stochastic and highly individual
Identified CCI-007 as a novel small molecule that displays rapid toxicity towards a subset of MLL-r, CALM-AF10 and SET-NUP214 leukemia cell lines
We report a term male with congenital acute erythroleukemia who achieved sustained remission with low-dose cytosine arabinoside alone
Present a valuable resource for drug discovery and have identified ROM as a promising therapeutic for MLL-rearranged iALL
Kids born with Down syndrome are at high risk of an array of health problems. One of the lesser-known complications is their increased risk of childhood leukaemia.
Dr Laurence Cheung is doing everything he can to end the threat of childhood leukemia. His research has the potential to change countless lives, but he also has another important job – being a dad to three beautiful children.
Rishi S. Laurence Sébastien Kotecha Cheung Malinge MB ChB (Hons) MRCPCH FRACP PhD BPharm (Hons) MBA PhD PhD Co-Head, Leukaemia Translational Research
Extensive research over the past 50 years has resulted in significant improvements in survival for patients diagnosed with leukemia. Despite this, a subgroup of patients harboring high-risk genetic alterations still suffer from poor outcomes. There is a desperate need for new treatments to improve survival, yet consistent failure exists in the translation of in vitro drug development to clinical application.
Acute leukemia continues to be a major cause of death from disease worldwide and current chemotherapeutic agents are associated with significant morbidity in survivors. While better and safer treatments for acute leukemia are urgently needed, standard drug development pipelines are lengthy and drug repurposing therefore provides a promising approach.
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.