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Age-based pegaspargase dosing is safe and achieves therapeutic levels in infants with ALL: report from COG AALL15P1

Rishi S. Kotecha MB ChB (Hons) MRCPCH FRACP PhD Co-Head, Leukaemia Translational Research rishi.kotecha@health.wa.gov.au Co-Head, Leukaemia

Silencing of TESTIN by dense biallelic promoter methylation

Aberrant promoter DNA methylation has been reported in childhood acute lymphoblastic leukaemia and has the potential to contribute to its onset and outcome

Gene-based outcome prediction in multiple cohorts of pediatric T-cell acute lymphoblastic leukemia: a Children's Oncology Group study

Continuous complete clinical remission in T-cell acute lymphoblastic leukemia (T-ALL) is now approaching 80% due to the implementation of aggressive...

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...

Heterogeneity in mechanisms of emergent resistance in pediatric T-cell acute lymphoblastic leukemia

Biological changes associated with T-ALL relapse and resistance are stochastic and highly individual

Influence of wild-type MLL on glucocorticoid sensitivity and response to DNA-damage in pediatric acute lymphoblastic leukemia

Rearrangement of the mixed-lineage leukemia gene (MLL) is found in 80% of infant acute lymphoblastic leukemia (ALL) and is associated with poor prognosis and re

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.

Effective adenovirus-mediated gene transfer into neural stem cells derived from human embryonic stem cells

Human embryonic stem cell-derived neural stem cells (hESC-NSCs) are an attractive cell type for studying

Validation of a mouse xenograft model system for gene expression analysis of human acute lymphoblastic leukaemia

Pre-clinical models that effectively recapitulate human disease are critical for expanding our knowledge of cancer biology and drug resistance mechanisms.