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To investigate incidence and survival of childhood tumours of the central nervous system (CNS) by histological subtype, tumour behaviour and tumour grade. Methods: National, population-based data on all children under 15 years old diagnosed with a CNS tumour between 1983 and 2016 were sourced from the Australian Childhood Cancer Registry. Incidence rate trends were calculated using Joinpoint regression.
The goal of a clinical quality registry is to deliver immediate gains in survival and quality of life by delivering timely feedback to practitioners, thereby ensuring every patient receives the best existing treatment. We are developing an Australian Brain Cancer Registry (ABCR) to identify, describe, and measure the impact of the variation and gaps in brain cancer care from the time of diagnosis to the end of life.
Both tumour suppressive and oncogenic functions have been reported for dual-specificity tyrosine phosphorylation-regulated kinase 1A (DYRK1A). Herein, we performed a detailed investigation to delineate the role of DYRK1A in glioblastoma. Our phosphoproteomic and mechanistic studies show that DYRK1A induces degradation of cyclin B by phosphorylating CDC23, which is necessary for the function of the anaphase-promoting complex, a ubiquitin ligase that degrades mitotic proteins.
Genetic predisposition to proteome instability may be a determinant in the pathogenesis of paediatric brain cancers
Whole genome sequencing of poor and exceptional survivors identified a gain in Chromosome 19 that was exclusive to the exceptional survivors
These findings reveal a central role of the DG receptor, not only as a structural element, but also as a critical factor promoting mesenchymal-like GBM
Our findings present a novel mouse model for glioma demonstrating that the PI3K pathway is important for initiation of tumorigenesis
These findings implicate the activation of STAT3 as one pathway that may mediate resistance to IGF-II-targeted therapy in HCC
IgG3 levels and proportions of IgG3 (%IgG) in serum at CIS diagnosis were inversely correlated with the time until conversion to MS
Here we present an approach for the DNA methylation-based classification of central nervous system tumors across all groups and demonstrate its application.