Minimal residual disease assessment in childhood acute lymphoblastic leukaemia: a Swedish multi-centre study comparing real-time polymerase chain reaction and multicolour flow cytometry.

Minimal residual disease (MRD) assessment is a powerful prognostic factor for determining the risk of relapse in childhood acute lymphoblastic leukaemia (ALL). In this Swedish multi-centre study of childhood ALL diagnosed between 2002 and 2006, the MRD levels were analysed in 726 follow-up samples in 228 children using real-time quantitative polymerase chain reaction (RQ-PCR) of rearranged immunoglobulin/T-cell receptor genes and multicolour flow cytometry (FCM). Using an MRD threshold of 0·1%, which was the sensitivity level reached in all analyses, the concordance between RQ-PCR and FCM MRD values at day 29 was 84%. In B-cell precursor ALL, an MRD level of ≥0·1% at day 29 predicted a higher risk of bone marrow relapse (BMR) with both methods, although FCM was a better discriminator. However, considering the higher median MRD values achieved with RQ-PCR, a higher MRD cut-off (≥0·2%) improved the predictive capacity of RQ-PCR. In T-ALL, RQ-PCR was notably superior to FCM in predicting risk of BMR. That notwithstanding, MRD levels of ≥0·1%, detected by either method at day 29, could not predict isolated extramedullary relapse. In conclusion, the concordance between RQ-PCR and FCM was high and hence both methods are valuable clinical tools for identifying childhood ALL cases with increased risk of BMR.

Applicability of IG/TCR gene rearrangements as targets for minimal residual disease assessment in a population-based cohort of Swedish childhood acute lymphoblastic leukaemia diagnosed 2002-2006.

Minimal residual disease (MRD) detection during the early treatment phase has become an important stratification parameter in many childhood acute lymphoblastic leukaemia (ALL) treatment protocols. Here, we aimed to address the applicability of rearranged antigen-receptor genes as potential MRD markers using real-time quantitative polymerase chain reaction (RQ-PCR) in a Swedish population-based cohort. From 334 childhood ALL cases diagnosed during 2002-2006, we analysed 279 diagnostic samples (84%) by screening for rearranged immunoglobulin (IG) and T-cell receptor (TCR) genes. Allele-specific oligonucleotides were designed, and the sensitivity and quantitative level was determined for each target. Overall, clonal IG/TCR rearrangements were detected in 97% (236/244) of B-cell precursor ALL (BCP ALL) and 94% (33/35) of T-ALL. A sensitive RQ-PCR analysis (< or = 10(-4)) was obtained in 89% (216/244) of BCP ALL and in 74% (26/35) of T-ALL, whereas two sensitive targets were only available in 47% (115/244) of BCP ALL and 29% (10/35) of T-ALL cases. With the stratification threshold of > or = 10(-3), which is applied in the current Nordic treatment protocol (NOPHO-ALL 2008) for the identification of high-risk patients, 93% of BCP ALL and 86% of T-ALL reached this quantitative range by at least one target gene. Taken together, this national retrospective study demonstrates that an IG/TCR target for MRD monitoring can be identified in the majority of childhood ALL cases, whereas identification of a second sensitive target gene needs to be improved.

Determining the repertoire of IGH gene rearrangements to develop molecular markers for minimal residual disease in B-lineage acute lymphoblastic leukemia.

Molecular markers for minimal residual disease in B-lineage acute lymphoblastic leukemia were identified by determining, at the time of diagnosis, the repertoire of rearrangements of the immunoglobulin heavy chain (IGH) gene using segment-specific variable (V), diversity (D), and junctional (J) primers in two different studies that involved a total study population of 75 children and 18 adults. This strategy, termed repertoire analysis, was compared with the conventional strategy of identifying markers using family-specific V, D, and J primers for a variety of antigen receptor genes. Repertoire analysis detected significantly more markers for the major leukemic clone than did the conventional strategy, and one or more IgH rearrangements that were suitable for monitoring the major clone were detected in 96% of children and 94% of adults. Repertoire analysis also detected significantly more IGH markers for minor clones. Some minor clones were quite large and a proportion of them would not be able to be detected by a minimal residual disease test directed to the marker for the major clone. IGH repertoire analysis at diagnosis has potential advantages for the identification of molecular markers for the quantification of minimal residual disease in acute lymphoblastic leukemia cases. An IGH marker enables very sensitive quantification of the major leukemic clone, and the detection of minor clones may enable early identification of additional patients who are prone to relapse.

Evidence for a pathophysiological role of cysteinyl leukotrienes in classical Hodgkin lymphoma.

Classical Hodgkin lymphoma (cHL) is characterized histologically by a minority of malignant Hodgkin Reed-Sternberg cells surrounded by abundant inflammatory cells, generally believed to be of major importance in the pathophysiology of the disease. Here, we present data that link inflammatory cell-derived arachidonic acid metabolites, the cysteinyl leukotrienes (CysLT), to the pathogenesis of cHL. Two HL cell lines, L1236 and KMH2, were shown to express functional CysLT(1) receptors, responding with a robust calcium signal upon leukotriene (LT) D(4) challenge. LTD(4) stimulated protein release of tumor necrosis factor-alpha, interleukin-6 and -8 by L1236 cells and interleukin-8 by KMH2 cells. Importantly, all these LTD(4)-induced effects were blocked by the CysLT(1) receptor-specific antagonist zafirlukast. Immunohistochemical studies of cHL biopsies and microarray analysis of microdissected cells revealed that the CysLT(1) receptor is expressed also by primary Hodgkin Reed-Sternberg cells. As these cells are surrounded by CysLT-producing eosinophils, macrophages and mast cells, our results suggest the CysLTs as mediators in the pathogenesis of cHL, contributing to the aberrant cytokine network of this lymphoma.

C-peptide does not affect ocular blood flow in patients with type 1 diabetes.

OBJECTIVE: The aim of the present study was to investigate the effect of intravenous C-peptide infusion on ocular blood flow in patients with type 1 diabetes under euglycemic conditions. RESEARCH DESIGN AND METHODS: The study was performed in a randomized, placebo-controlled, double-masked, two-way, crossover design in 10 type 1 diabetic patients. C-peptide was intravenously administered at two different dosages (dosage 1: 25 pmol . kg(-1) . min(-1) bolus followed by 5 pmol . kg(-1) . min(-1) continuous infusion; dosage 2: six times higher than dosage 1), each for 60 min. Physiologic saline solution was used as a control for C-peptide on a different study day. On both study days, euglycemic clamps were performed. To assess retinal blood flow, laser Doppler velocimetry (blood flow velocities) and retinal vessel analyzer (vessels diameters) measurements were performed. Laser interferometric measurements of fundus pulsation were used to assess pulsatile choroidal blood flow. Blood velocities in the ophthalmic artery were measured using color Doppler imaging. RESULTS: Eight patients (two female and six male) completed the study according to the protocol and without adverse events. One patient developed an anaphylactic reaction to C-peptide, which resolved without sequelae. The following results originate from the remaining eight subjects. Systemic hemodynamic parameters remained stable during both study days. Infusion of C-peptide did not affect any ocular hemodynamic parameter. CONCLUSIONS: The data of the present study indicate that exogenous C-peptide exerts no effect on ocular hemodynamic parameters in type 1 diabetic patients under euglycemic conditions. The maximum detectable change in these parameters was <25%.

Real-time polymerase chain reaction determination of cytokine mRNA expression profiles in Hodgkin's lymphoma.

BACKGROUND AND OBJECTIVES: Classical Hodgkin's lymphoma (HL) is a malignant disorder characterized by a small number of tumor cells and inflammatory cells. Both the tumor cells and the inflammatory cells produce cytokines which are thought to contribute to the clinical parameters of HL. Quantification of these cytokines at a protein level is still somewhat imprecise. We, therefore, used a method to quantify cytokine mRNA expression in HL cell lines and lymph node biopsies. DESIGN AND METHODS: We used real-time quantitative polymerase chain reaction (RQ-PCR) to investigate mRNA expression for interleukin (IL)-1alpha, IL-1beta, IL-2, IL-4, IL-5, IL-8, IL-12p35, IL-12p40, IL-13, IL-15, interferon (IFN)-gamma and tumor necrosis factor (TNF-alpha) in lymph node tissue from 15 patients with classic Hodgkin's lymphoma (c-HL) and one with lymphocyte predominance (LP) HL. HL-derived cell lines L1236, L540, and L428 were also investigated. Reactive lymphatic tissue (n=6) and peripheral blood mononuclear cells (PBMC) from healthy donors (n=4) before and after stimulation were used as controls. In 5 c-HL samples the cytokine expression in T lymphocytes was also studied by flow cytometry. RESULTS: All c-HL samples (but not LP) expressed IL-13 mRNA. This cytokine was not found in non-stimulated PBMC or in reactive lymphatic tissue. Expression of IL-10, IL-1beta, IL-15 and IL-12p35 mRNA was higher in HL samples than in PBMC and reactive lymphatic tissue. Expression of IL-10, IL-1beta, TNF-alpha and IFN-gamma mRNA was significantly higher in the EBV+ HL samples (n=6) than in the EBV- cases. All HL cell lines showed high expression of IL-13, IL-12p35, TNF-alpha and IL-15 mRNA. IFNg mRNA levels were high in L428 and L540 cells, IL-10 in L1236 cells and L540 cells, IL-5 in L428 cells and IL-4 in L1236 cells. INTERPRETATION AND CONCLUSIONS: Cytokine mRNA levels can be measured by RQ-PCR using a limited amount of tissue. This method gives valuable information on biological variation between different HL samples and may contribute to unraveling the complex cytokine network contributing to the clinical and biological heterogeneity of this disease.