Receptor mutation is not a common mechanism of naturally occurring glucocorticoid resistance in leukaemia cell lines.

Glucocorticoids (GCs) are among the most important drugs for the treatment of acute lymphoblastic leukaemia (ALL). Cell lines cultured in high GC concentrations typically contain mutated glucocorticoid receptor (GR), something that is rarely found in primary ALL specimens. We studied naturally occurring mechanisms of GC resistance and examined sensitivity to GC in 15 T-ALL cell lines grown without prior exposure to drugs. Resistance could not be attributed to mutations in GR or variations in levels of its expression. We conclude that this panel of cell lines provides a suitable in vitro model since it reflects GC resistance in primary ALL.

Prediction of relapse in paediatric pre-B acute lymphoblastic leukaemia using a three-gene risk index.

Despite high cure rates 25% of children with acute lymphoblastic leukaemia (ALL) relapse and have dismal outcome. Crucially, many are currently stratified as standard risk (SR) and additional markers to improve patient stratification are required. Here we have used diagnostic bone marrow specimens from 101 children with pre-B ALL to examine the use of gene expression profiles (GEP) as predictors of long-term clinical outcome. Patients were divided into two cohorts for model development and validation based on availability of specimen material. Initially, GEP from 55 patients with sufficient material were analysed using HG-U133A microarrays, identifying an 18-gene classifier (GC) that was more predictive of outcome than conventional prognostic parameters. After feature selection and validation of expression levels by quantitative reverse transcription polymerase chain reaction (qRT-PCR), a three-gene qRT-PCR risk index [glutamine synthetase (GLUL), ornithine decarboxylase antizyme inhibitor (AZIN), immunoglobulin J chain (IGJ)] was developed that predicted outcome with an accuracy of 89% in the array cohort and 87% in the independent validation cohort. The data demonstrate the feasibility of using GEP to improve risk stratification in childhood ALL. This is particularly important for the identification of patients destined to relapse despite their current stratification as SR, as more intensive front-line treatment options for these individuals are already available.

Monocyte-derived macrophages from men and women with Type 2 diabetes mellitus differ in fatty acid composition compared with non-diabetic controls.

We examined whether macrophages from men and women with Type 2 diabetes mellitus (T2DM) exhibited differences in expression of key genes involved in fatty acid metabolism and in fatty acid composition compared with macrophages from non-diabetic controls. Peripheral blood monocytes from subjects with T2DM (n=9) and non-diabetic controls (n=10) were differentiated into macrophages in 10% autologous serum and normal (5mM) or high (22mM) glucose. Levels of PPARalpha, PPARgamma, LXRalpha, SCD and ABCA1 mRNAs were similar in macrophages from subjects with T2DM and controls. At 5mM glucose, macrophage stearic acid (C18:0) was 12.6+/-1.0% of total fatty acids for T2DM compared with 18.1+/-2.0% for controls (p=0.03). Macrophage linoleic acid (C18:2) was 15.5+/-0.8% for T2DM and 9.3+/-2.0% for controls (p=0.005). The ratio of macrophage stearic acid (C18:0)/oleic acid (C18:1) was 0.29 [0.25,0.48] for T2DM versus 0.54 [0.36,0.82] for controls (p=0.04). Compared with non-diabetic controls, macrophages from men and women with T2DM had significantly different fatty acid profiles consistent with increased stearoyl-CoA desaturase (SCD) activity and increased C18:2 accumulation. This pattern of altered macrophage fatty acid composition may be relevant to diabetic atherogenesis.