956 resultados para Acute Myeloid-leukemia


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All-trans retinoic acid (ATRA) combined to anthracycline-based chemotherapy is the reference treatment of acute promyelocytic leukemia (APL). Whereas, in high-risk patients, cytarabine (AraC) is often considered useful in combination with anthracycline to prevent relapse, its usefulness in standard-risk APL is uncertain. In APL 2000 trial, patients with standard-risk APL [i.e., with baseline white blood cell (WBC) count <10,000/mm(3) ] were randomized between treatment with ATRA with Daunorubicin (DNR) and AraC (AraC group) and ATRA with DNR but without AraC (no AraC group). All patients subsequently received combined maintenance treatment. The trial had been prematurely terminated due to significantly more relapses in the no AraC group (J Clin Oncol, (24) 2006, 5703-10), but follow-up was still relatively short. With long-term follow-up (median 103 months), the 7-year cumulative incidence of relapses was 28.6% in the no AraC group, compared to 12.9% in the AraC group (P = 0.0065). In standard-risk APL, at least when the anthracycline used is DNR, avoiding AraC may lead to an increased risk of relapse suggesting that the need for AraC is regimen-dependent.

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BACKGROUND: In contrast with established evidence linking high doses of ionizing radiation with childhood cancer, research on low-dose ionizing radiation and childhood cancer has produced inconsistent results. OBJECTIVE: We investigated the association between domestic radon exposure and childhood cancers, particularly leukemia and central nervous system (CNS) tumors. METHODS: We conducted a nationwide census-based cohort study including all children < 16 years of age living in Switzerland on 5 December 2000, the date of the 2000 census. Follow-up lasted until the date of diagnosis, death, emigration, a child's 16th birthday, or 31 December 2008. Domestic radon levels were estimated for each individual home address using a model developed and validated based on approximately 45,000 measurements taken throughout Switzerland. Data were analyzed with Cox proportional hazard models adjusted for child age, child sex, birth order, parents' socioeconomic status, environmental gamma radiation, and period effects. RESULTS: In total, 997 childhood cancer cases were included in the study. Compared with children exposed to a radon concentration below the median (< 77.7 Bq/m3), adjusted hazard ratios for children with exposure ≥ the 90th percentile (≥ 139.9 Bq/m3) were 0.93 (95% CI: 0.74, 1.16) for all cancers, 0.95 (95% CI: 0.63, 1.43) for all leukemias, 0.90 (95% CI: 0.56, 1.43) for acute lymphoblastic leukemia, and 1.05 (95% CI: 0.68, 1.61) for CNS tumors. CONCLUSIONS: We did not find evidence that domestic radon exposure is associated with childhood cancer, despite relatively high radon levels in Switzerland.

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PURPOSE To develop a score predicting the risk of adverse events (AEs) in pediatric patients with cancer who experience fever and neutropenia (FN) and to evaluate its performance. PATIENTS AND METHODS Pediatric patients with cancer presenting with FN induced by nonmyeloablative chemotherapy were observed in a prospective multicenter study. A score predicting the risk of future AEs (ie, serious medical complication, microbiologically defined infection, radiologically confirmed pneumonia) was developed from a multivariate mixed logistic regression model. Its cross-validated predictive performance was compared with that of published risk prediction rules. Results An AE was reported in 122 (29%) of 423 FN episodes. In 57 episodes (13%), the first AE was known only after reassessment after 8 to 24 hours of inpatient management. Predicting AE at reassessment was better than prediction at presentation with FN. A differential leukocyte count did not increase the predictive performance. The score predicting future AE in 358 episodes without known AE at reassessment used the following four variables: preceding chemotherapy more intensive than acute lymphoblastic leukemia maintenance (weight = 4), hemoglobin > or = 90 g/L (weight = 5), leukocyte count less than 0.3 G/L (weight = 3), and platelet count less than 50 G/L (weight = 3). A score (sum of weights) > or = 9 predicted future AEs. The cross-validated performance of this score exceeded the performance of published risk prediction rules. At an overall sensitivity of 92%, 35% of the episodes were classified as low risk, with a specificity of 45% and a negative predictive value of 93%. CONCLUSION This score, based on four routinely accessible characteristics, accurately identifies pediatric patients with cancer with FN at risk for AEs after reassessment.

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PURPOSE To develop a score predicting the risk of adverse events (AEs) in pediatric patients with cancer who experience fever and neutropenia (FN) and to evaluate its performance. PATIENTS AND METHODS Pediatric patients with cancer presenting with FN induced by nonmyeloablative chemotherapy were observed in a prospective multicenter study. A score predicting the risk of future AEs (ie, serious medical complication, microbiologically defined infection, radiologically confirmed pneumonia) was developed from a multivariate mixed logistic regression model. Its cross-validated predictive performance was compared with that of published risk prediction rules. Results An AE was reported in 122 (29%) of 423 FN episodes. In 57 episodes (13%), the first AE was known only after reassessment after 8 to 24 hours of inpatient management. Predicting AE at reassessment was better than prediction at presentation with FN. A differential leukocyte count did not increase the predictive performance. The score predicting future AE in 358 episodes without known AE at reassessment used the following four variables: preceding chemotherapy more intensive than acute lymphoblastic leukemia maintenance (weight = 4), hemoglobin > or = 90 g/L (weight = 5), leukocyte count less than 0.3 G/L (weight = 3), and platelet count less than 50 G/L (weight = 3). A score (sum of weights) > or = 9 predicted future AEs. The cross-validated performance of this score exceeded the performance of published risk prediction rules. At an overall sensitivity of 92%, 35% of the episodes were classified as low risk, with a specificity of 45% and a negative predictive value of 93%. CONCLUSION This score, based on four routinely accessible characteristics, accurately identifies pediatric patients with cancer with FN at risk for AEs after reassessment.

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Introduction: As imatinib pharmacokinetics are highly variable, plasma levels differ largely between patients under the same dosage. Retrospective studies in chronic myeloid leukemia (CML) patients showed significant correlations between low levels and suboptimal response, as well as between high levels and poor tolerability. Monitoring of trough plasma levels, targeting 1000 μg/L and above, is thus increasingly advised. Our study was launched to assess prospectively the clinical usefulness of systematic imatinib TDM in CML patients. This preliminary analysis addresses the appropriateness of the dosage adjustment approach applied in this study, which targets the recommended trough level and allows an interval of 4-24 h after last drug intake for blood sampling. Methods: Blood samples from the first 15 patients undergoing 1st TDM were obtained 1.5-25 h after last dose. Imatinib plasma levels were measured by LC-MS/MS and the concentrations were extrapolated to trough based on a Bayesian approach using a population pharmacokinetic model. Trough levels were predicted to differ significantly from the target in 12 patients (10 <750 μg/L; 2 >1500 μg/L along with poor tolerance) and individual dose adjustments were proposed. 8 patients underwent a 2nd TDM cycle. Trough levels of 1st and 2nd TDM were compared, the sample drawn 1.5 h after last dose (during distribution phase) was excluded from the analysis. Results: Individual dose adjustments were applied in 6 patients. Observed concentrations extrapolated to trough ranged from 360 to 1832 μg/L (median 725; mean 810, CV 52%) on 1st TDM and from 720 to 1187 μg/L (median 950; mean 940, CV 18%) on 2nd TDM cycle. Conclusions: These preliminary results suggest that TDM of imatinib using a Bayesian interpretation is able to target the recommended trough level of 1000 μg/L and to reduce the considerable differences in trough level exposure between patients (with CV decreasing from 52% to 18%). While this may simplify blood collection in daily practice, as samples do not have to be drawn exactly at trough, the largest possible interval to last drug intake yet remains preferable to avoid sampling during distribution phase leading to biased extrapolation. This encourages the evaluation of the clinical benefit of a routine TDM intervention in CML patients, which the randomized Swiss I-COME trial aims to.

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Introduction: Imatinib trough plasma concentrations (Cmin) have been correlated with treatment response in chronic myeloid leukemia (CML) patients. The use of Cmin monitoring for optimizing imatinib dosage (therapeutic drug monitoring [TDM]) is therefore proposed for patients with unsatisfying response or tolerance ("rescue TDM"). A cycle of "routine TDM" for dosage individualization could also be beneficial to prevent unfavorable events, yet its clinical usefulness has not been evaluated. We aimed to assess prospectively whether a "routine TDM" intervention targeting imatinib Cmin of 1000 ng/mL (tolerance, 750-1500 ng/mL) could improve efficacy, tolerance, and persistence on treatment compared with "rescue TDM" use only. Patients (or Materials) and Methods: The Swiss Imatinib COncentration Monitoring Evaluation (I-COME) study was a multicenter randomized controlled trial (ISRCTN31181395). Adult patients in chronic or accelerated phase CML receiving imatinib ≤5 years were eligible. Patients were randomly (1:1) allocated to receive "routine TDM" intervention or to serve as controls with access only to "rescue TDM". All had 1-year follow-up. The primary endpoint was a combined efficacy-safety outcome (failure- and toxicity-free survival without imatinib discontinuation), analyzed in intention-to-treat. Results: Among 56 CML recruited patients, 55 had their molecular and cytogenetic response measured. 14/27 of patients receiving "routine TDM" (52% [33%-71%]) remained event-free versus 16/28 of control patients with "rescue TDM" only (57% [39%-75%]; P=0.69). In the "routine TDM" group, dosage recommendations were adopted entirely in 50% of patients (median Cmin at study end, 895 ng/mL; CV = 33%). These patients had fewer unfavorable events (28% [5%-52%]) compared with patients not receiving the advised dosage (77% [54%-99%]; P = 0.03; median Cmin at study end, 648 ng/mL; CV = 38%). Conclusion: This first prospective target concentration intervention trial could not formally demonstrate a benefit of "routine TDM" of imatinib, especially due to a small patient number and limited prescriber's adherence to dosage recommendations. Nevertheless, the patients receiving the advised dosage more often met target concentrations and the combined outcome (efficacy, tolerance, and persistence). A cycle of routine TDM could thus be favorable, at least in patients eligible for dosage adjustment. Its usefulness should, however, be further confirmed in larger trials.

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PURPOSE Updated results are presented after a median follow-up of 7.3 years from the phase III First-Line Indolent Trial of yttrium-90 ((90)Y) -ibritumomab tiuxetan in advanced-stage follicular lymphoma (FL) in first remission. PATIENTS AND METHODS Patients with CD20(+) stage III or IV FL with complete response (CR), unconfirmed CR (CRu), or partial response (PR) after first-line induction treatment were randomly assigned to (90)Y-ibritumomab consolidation therapy (rituximab 250 mg/m(2) days -7 and 0, then (90)Y-ibritumomab 14.8 MBq/kg day 0; maximum 1,184 MBq) or no further treatment (control). Primary end point was progression-free survival (PFS) from date of random assignment. Results For 409 patients available for analysis ((90)Y-ibritumomab, n = 207; control, n = 202), estimated 8-year overall PFS was 41% with (90)Y-ibritumomab versus 22% for control (hazard ratio [HR], 0.47; P < .001). For patients in CR/CRu after induction, 8-year PFS with (90)Y-ibritumomab was 48% versus 32% for control (HR, 0.61; P = .008), and for PR patients, it was 33% versus 10% (HR, 0.38; P < .001). For (90)Y-ibritumomab consolidation, median PFS was 4.1 years (v 1.1 years for control; P < .001). Median time to next treatment (TTNT) was 8.1 years for (90)Y-ibritumomab versus 3.0 years for control (P < .001) with approximately 80% response rates to second-line therapy in either arm, including autologous stem-cell transplantation. No unexpected toxicities emerged during long-term follow-up. Estimated between-group 8-year overall survival rates were similar. Annualized incidence rate of myelodysplastic syndrome/acute myeloblastic leukemia was 0.50% versus 0.07% in (90)Y-ibritumomab and control groups, respectively (P = .042). CONCLUSION (90)Y-ibritumomab consolidation after achieving PR or CR/CRu to induction confers 3-year benefit in median PFS with durable 19% PFS advantage at 8 years and improves TTNT by 5.1 years for patients with advanced FL.

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RESUME La dissémination extramédullaire des cellules blastiques est une complication majeure des leucémies myéloïdes (LMA) ou lymphoïdes aiguës (LLA). La migration des cellules blastiques dépend de mécanismes semblables à ceux qui régulent la migration des leucocytes dans un site d'inflammation. Parmi ceux-ci, les oligosaccharides fucosylés décorant les ligands des sélectines jouent un rôle clé en interagissant avec les sélectines. PSGL-1 (P-Selectin Glycoprotein Ligand-1) est une protéine de 240 kD, exprimée à la surface des leucocytes, permettant de soutenir le roulement leucocytaire sur les sélectines, le long de la paroi vasculaire. L'interaction de PSGL-1 avec les sélectines nécessite des modifications post-traductionnelles de type sialylation, sulfatation , N et 0-glycosylation. Parmi les enzymes impliqués, les α1,3-fucosyltransférases jouent un rôle important dans la biosynthèse d'oligosaccharides fucosylés, ligands des sélectines (sLex, Lex, VIM-2, CLA). Comme l'expression des α1,3-fucosyltransférases par les cellules blastiques leucémiques n'a pas été étudiée précédemment, nous l'avons recherchée dans 120 cas de leucémies aiguës. Les ARNm des FucT-IV et -VII ont été détectés, par RT-PCR, dans tous les cas testés. L'ARNm de la FucT-IX n'a été observé que dans 40% des leucémies aiguës (48/120). L'ARNm de la FucT-IX est détecté dans 65% des LMA (47/72) et, moins fréquemment, dans 26% des LLA (11/42). A noter que les cas de LLA exprimant la FucT-IX correspondent essentiellement à des LLA secondaires à la transformation d'une leucémie myéloïde chronique ou des LLA de la lignée B de type leucémie/lymphome de Burkitt. L'expression de PSGL-1 et des oligosaccharides fucosylés par les blastes varie significativement parmi les LMA et les LLA : Lex, VIM-2 et sLex étant exprimés plus fréquemment par les myéloblastes que par les lymphoblastes. Le rôle des FucT-IV, -VII et -IX dans la synthèse des Lex, VIM-2, CLA et sLex a été examiné en exprimant l'ADNc de chaque FucT dans des cellules CHO. L'immunophénotypisation des transfectants indique que la FucT-VII synthétise sLex et CLA, mais pas Lex et VIM-2. Lex et VIM-2 sont générés par la FucT-IV. La FucT-IX ne participe qu'à la synthèse de Lex, sa capacité de synthèse de VIM-2 dans les cellules CHO est très faible. Le rôle de la FucT-IX dans la régulation du roulement cellulaire dépendant des sélectines a été testé dans des conditions de flux. Les vitesses de roulement des cellules CHO co-exprimant la FucT-LX, la core-2 01,6-N-acetylglucosaminyltransferase et PSGL-1 sont très élevées sur la P-sélectine (médiane : 497.95 µm/s, n=96) alors qu'elles sont beaucoup plus lentes sur la E-sélectine (médiane 7 µm/s, n=64). Les recrutements sur la E-sélectine des cellules CHO-C2F9PSGL¬1 et des CHO-C2F7PSGL-1 sont similaires (moyenne ± SEM : 127.44 ± 4.38 vs. 151.16 ± 3.16 cellules/min/mm2, n=5). Celui des cellules CHO-C2F4PSGL-1 est par contre plus faible (54.20 ± 2.13 cellules/min/mm2, n=5). Ces résultats indiquent que la FucT-IX est impliquée dans la biosynthèse de Lex, VIM-2 et CLA et qu'elle régule l'interaction des cellules CHO avec la E-sélectine. Contrairement aux FucT-IV et -VII, la FucT-IX ne joue qu'un rôle mineur dans la régulation du roulement cellulaire sur la L- et la P-sélectine. L'expression fréquente de la FucT-IX par les myéloblastes suggère qu'elle pourrait participer avec les FucT-IV et -VII à la régulation de la migration cellulaire dépendant de la E-sélectine. Finalement, ce travail de thèse a été étendu à l'identification des protéines cytoplasmiques qui interagissent avec le domaine cytoplasmique de PSGL-1 et qui pourraient être impliquées dans la transmission de signaux intracellulaires. Les ligands intracellulaires de PSGL-1 seront identifiés par la technique du double hybride qui nous a déjà permis de confirmer que syk et la N-moésine se lient au domaine cytoplasmique de PSGL-1. Des ligands supplémentaires seront identifiés employant une librairie provenant des cellules souches hématopoïétiques comme proie. ABSTRACT Blast cell dissemination is a major complication of acute myeloblastic (AML) and lymphoblastic leukemia (ALL). Blast cell migration is dependent on mechanisms that are similar to those which regulate leukocyte migration into inflammatory lesions. Among them, fticosylated oligosaccharides that decorate selectin ligands play a key role by interacting with selectins. PSGL-1 (P-Selectin Glycoprotein Ligand-1) is a 240 kD glycoprotein constitutively expressed on leucocytes and which supports leukocyte rolling on selectins. PSGL-1 interaction with selectins is dependent on post-translational modifications such as sialylation, sulfation, N- and 0-glycosylation. Among the involved enzymes, the α1,3-fucosyltransferases (FucT) play a major role in generating cell surface glycoconjugates carrying fucosylated oligosaccharides which interact with selectins (sLex, Lex, VIM-2, CLA). Since no information is available on the expression of α1,3-fucosyltransferases by leukemic blast cells, we examined it in 120 cases of acute leukemia. FucT-IV and -VII mRNAs were detected, by RT-PCR, in all tested cases. In contrast, the presence of FucT-IX mRNA was shown in only 40% of patients with acute leukemia (48/120). FucT-IX mRNA was detected in 65% of AML (47/72) and, less frequently, in 26% of ALL (11/42). Importantly, all ALL cases expressing FucT-IX were either secondary leukemia resulting from the transformation of chronic myelocytic leukemia in acute lymphoblastic leukemia or mature B-ALL (FAB L3 subtype or Burkitt lymphoma/leukemia according to WHO classification). FucT-IX was not detected in precursor B or T-ALL. The expression of PSGL-1 and fucosylated epitopes was significantly different among AML and ALL, Lex, VIM-2 and sLex being more frequently expressed by myeloblasts than by lymphoblasts. The role of FucT-IV, -VII and -IX in the biosynthesis of Lex, VIM-2, CLA and sLex was examined by expressing the cDNA of each α1,3-FucT in CHO cells. Immunophenotypic analysis of CHO transfectants indicated that FucT-VII synthesizes sLex and CLA but not Lex or VIM-2. Lex and CLA were generated by both FucT-IV and -IX. FucT-IV and FucT-IX differed in their ability to synthesize VIM-2, FucT-IX being less efficient than FucT-IV. The role of FucT-IX in regulating selectin-dependent rolling was assessed under hydrodynamic flow conditions. P-selectin-dependent interactions were transient and occurred at high velocities (median: 497.95 1,µm/s, n=96). In contrast, much slower rolling velocities were observed on E-selectin (median: 7 µm/s, n=64). The recruitment of CHO-C2F9PSGL-1 and CHO-C2F7PSGL-1 cells was similar on E-selectin (mean ± SEM: 127.44 ± 4.38, n=5 vs 151.16 ± 3.16 cells/min/mm2, n=5). In the other hand, CHO-C2F4PSGL-1 cells were less efficiently recruited on E-selectin (54.20 ± 2.13 cells/min/mm2, n=5). This results indicate that FucT-IX is involved in the biosynthesis of Lex, VIM-2 and CLA and that it confers E-selectin binding activity to CHO cells. By contrast to FucT-IV and -VII, FucT-IX had a minor role in regulating P- and L-selectin-dependent rolling on CHO transfectants. The frequent expression of FucT-IX in myeloblasts suggests that it may participate with FucT-IV and -VII in regulating E-selectin-dependent cell migration into tissues. Finally, this thesis work was extended to the identification of the cytoplasmic proteins interacting with cytoplasmic domain of PSGL-1 that may be involved in transducing intracellular signals. We planned to identify these intracellular ligands of PSGL-1 by using the double hybrid technique and already confirmed that syk and N-moesin bind to the cytoplasmic domain of PSGL-1. Additional PSGL-1 ligands will be sought by the same technique using a CD34+ stem cell library as pray. RESUME DESTINE A UN LARGE PUBLIC : L'adhésion et la migration leucocytaire sont nécessaires à de nombreux processus cellulaires comme la régulation de l'hématopoïèse, mais aussi dans la pathogenèse de l'artériosclérose, des maladies inflammatoires et de la métastatisation des cellules cancéreuses. Les molécules impliquées constituent depuis peu des cibles pour la thérapie du cancer. La migration leucocytaire vers un site d'inflammation dépend de mécanismes complexes, se déroulant en plusieurs étapes, nécessitant l'interaction séquentielle de molécules d'adhésion leucocytaires et endothéliales. Ainsi, chronologiquement, suite à un stimulus inflammatoire, les leucocytes « roulent » sur les cellules endothéliales, sont activées, s'arrêtent et traversent la paroi endothéliale (diapédèse) pour migrer dans les tissus environnants inflammés selon un gradient chimiotactique. La première étape de roulement met en jeu deux molécules principales : PSGL-1 (P-Sélectine Glycoprotéine Ligand-1) du coté des leucocytes et les sélectines du coté de l'endothélium de la paroi vasculaire. L'interaction entre ces deux molécules nécessite des décorations de ces protéines par des sucres, des résidus sulfates et des acides sialiques. Le sucre essentiel à la liaison demeure le fucose qui est attaché aux protéines grâce à des enzymes de la famille des fucosyltransferases. Actuellement, neuf fucosyltransférases humaines ont été identifiées et désignées sous FucT-I à IX. La FucT-IX, dernière fucosyltransférase clonée, a un faible degré d'homologie avec les autres fucosyltransférases mais sa séquence est extrêmement conservée entre les espèces. Ceci traduit son importance par une forte résistance à la pression évolutive. L'examen de son expression au sein de 120 cas de leucémies aiguës a mis en évidence son comportement atypique. En effet, alors que les autres FucTs sont toujours présentes, la FucT¬IX ne s'exprime que dans un cas sur deux en moyenne avec une préférence plus importante pour les leucémies myéloïdes. Ainsi, une étude plus approfondie de cet enzyme à mis en évidence sa capacité à induire une interaction cellulaire plus spécifique de la E-sélectine. Elle décore non seulement des protéines de surface, mais aussi certainement les glycolipides constituant la membrane cellulaire.

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Aims: Plasma concentrations of imatinib differ largely between patients despite same dosage, owing to large inter-individual variability in pharmacokinetic (PK) parameters. As the drug concentration at the end of the dosage interval (Cmin) correlates with treatment response and tolerability, monitoring of Cmin is suggested for therapeutic drug monitoring (TDM) of imatinib. Due to logistic difficulties, random sampling during the dosage interval is however often performed in clinical practice, thus rendering the respective results not informative regarding Cmin values.Objectives: (I) To extrapolate randomly measured imatinib concentrations to more informative Cmin using classical Bayesian forecasting. (II) To extend the classical Bayesian method to account for correlation between PK parameters. (III) To evaluate the predictive performance of both methods.Methods: 31 paired blood samples (random and trough levels) were obtained from 19 cancer patients under imatinib. Two Bayesian maximum a posteriori (MAP) methods were implemented: (A) a classical method ignoring correlation between PK parameters, and (B) an extended one accounting for correlation. Both methods were applied to estimate individual PK parameters, conditional on random observations and covariate-adjusted priors from a population PK model. The PK parameter estimates were used to calculate trough levels. Relative prediction errors (PE) were analyzed to evaluate accuracy (one-sample t-test) and to compare precision between the methods (F-test to compare variances).Results: Both Bayesian MAP methods allowed non-biased predictions of individual Cmin compared to observations: (A) - 7% mean PE (CI95% - 18 to 4 %, p = 0.15) and (B) - 4% mean PE (CI95% - 18 to 10 %, p = 0.69). Relative standard deviations of actual observations from predictions were 22% (A) and 30% (B), i.e. comparable to the intraindividual variability reported. Precision was not improved by taking into account correlation between PK parameters (p = 0.22).Conclusion: Clinical interpretation of randomly measured imatinib concentrations can be assisted by Bayesian extrapolation to maximum likelihood Cmin. Classical Bayesian estimation can be applied for TDM without the need to include correlation between PK parameters. Both methods could be adapted in the future to evaluate other individual pharmacokinetic measures correlated to clinical outcomes, such as area under the curve(AUC).

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Several cancer treatments are shifting from traditional, time-limited, nonspecific cytotoxic chemotherapy cycles to continuous oral treatment with specific protein-targeted therapies. In this line, imatinib mesylate, a selective tyrosine kinases inhibitor (TKI), has excellent efficacy in the treatment of chronic myeloid leukemia. It has opened the way to the development of additional TKIs against chronic myeloid leukemia, including nilotinib and dasatinib. TKIs are prescribed for prolonged periods, often in patients with comorbidities. Therefore, they are regularly co-administered along with treatments at risk of drug-drug interactions. This aspect has been partially addressed so far, calling for a comprehensive review of the published data. We review here the available evidence and pharmacologic mechanisms of interactions between imatinib, dasatinib, and nilotinib and widely prescribed co-medications, including known inhibitors or inducers of cytochromes P450 or drug transporters. Information is mostly available for imatinib mesylate, well introduced in clinical practice. Several pharmacokinetic aspects yet remain insufficiently investigated for these drugs. Regular updates will be mandatory and so is the prospective reporting of unexpected clinical observations.

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Although canonical Notch signaling regulates multiple hematopoietic lineage decisions including T cell and marginal zone B cell fate specification, the downstream molecular mediators of Notch function are largely unknown. We showed here that conditional inactivation of Hes1, a well-characterized Notch target gene, in adult murine bone marrow (BM) cells severely impaired T cell development without affecting other Notch-dependent hematopoietic lineages such as marginal zone B cells. Competitive mixed BM chimeras, intrathymic transfer experiments, and in vitro culture of BM progenitors on Delta-like-expressing stromal cells further demonstrated that Hes1 is required for T cell lineage commitment, but dispensable for Notch-dependent thymocyte maturation through and beyond the beta selection checkpoint. Furthermore, our data strongly suggest that Hes1 is essential for the development and maintenance of Notch-induced T cell acute lymphoblastic leukemia. Collectively, our studies identify Hes1 as a critical but context-dependent mediator of canonical Notch signaling in the hematopoietic system.

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Background: As imatinib pharmacokinetics are highly variable, plasma levels differ largely between patients under the same dosage. Retrospective studies in chronic myeloid leukemia (CML) patients showed significant correlations between low levels and suboptimal response, and between high levels and poor tolerability. Monitoring of plasma levels is thus increasingly advised, targeting trough concentrations of 1000 μg/L and above. Objectives: Our study was launched to assess the clinical usefulness of systematic imatinib TDM in CML patients. The present preliminary evaluation questions the appropriateness of dosage adjustment following plasma level measurement to reach the recommended trough level, while allowing an interval of 4-24 h after last drug intake for blood sampling. Methods: Initial blood samples from the first 9 patients in the intervention arm were obtained 4-25 h after last dose. Trough levels in 7 patients were predicted to be significantly away from the target (6 <750 μg/L, and 1 >1500 μg/L with poor tolerance), based on a Bayesian approach using a population pharmacokinetic model. Individual dosage adjustments were taken up in 5 patients, who had a control measurement 1-4 weeks after dosage change. Predicted trough levels were confronted to anterior model-based extrapolations. Results: Before dosage adjustment, observed concentrations extrapolated at trough ranged from 359 to 1832 μg/L (median 710; mean 804, CV 53%) in the 9 patients. After dosage adjustment they were expected to target between 720 and 1090 μg/L (median 878; mean 872, CV 13%). Observed levels of the 5 recheck measurements extrapolated at trough actually ranged from 710 to 1069 μg/L (median 1015; mean 950, CV 16%) and had absolute differences of 21 to 241 μg/L to the model-based predictions (median 175; mean 157, CV 52%). Differences between observed and predicted trough levels were larger when intervals between last drug intake and sampling were very short (~4 h). Conclusion: These preliminary results suggest that TDM of imatinib using a Bayesian interpretation is able to bring trough levels closer to 1000 μg/L (with CV decreasing from 53% to 16%). While this may simplify blood collection in daily practice, as samples do not have to be drawn exactly at trough, the largest possible interval to last drug intake yet remains preferable. This encourages the evaluation of the clinical benefit of a routine TDM intervention in CML patients, which the randomized Swiss I-COME study aims to.

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Dual-energy X-ray absorptiometry (DXA) is the most widely used technical instrument for evaluating bone mineral content (BMC) and density (BMD) in patients of all ages. However, its use in pediatric patients, during growth and development, poses a much more complex problem in terms of both the technical aspects and the interpretation of the results. For the adults population, there is a well-defined term of reference: the peak value of BMD attained by young healthy subjects at the end of skeletal growth. During childhood and adolescence, the comparison can be made only with healthy subjects of the same age, sex and ethnicity, but the situation is compounded by the wide individual variation in the process of skeletal growth (pubertal development, hormone action, body size and bone size). The International Society for Clinical Densitometry (ISCD) organized a Pediatric Position Development Conference to discuss the specific problems of bone densitometry in growing subjects (9-19 years of age) and to provide essential recommendations for its clinical use.

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The distinction between normal and leukemic bone marrow (BM) B-precursors is essential for the diagnosis and treatment monitoring of acute lymphoblastic leukemia (ALL). In order to evaluate the potential use of quantitative fluorescence cytometry (QFC) for this distinction, we studied 21 normal individuals and 40 patients with CD10+ ALL. We characterized the age-related changes of the CD10, CD19, TdT, CD34 and CD79a densities in normal and leukemic BM. Compared to normal adults, the B-precursors from normal children expressed significantly lower values of CD34-specific antibody binding capacity (SABC) (median value of 86.6 vs 160.2 arbitrary units (a.u.) in children and adults, respectively). No significant age-related difference was observed in the expression of the other markers in the normal BM, or in any of the markers in the leukemic BM. Based on the literature, we set the cut-off value for the normal CD10 expression at 45 x 10³ a.u. for both age groups. For the remaining markers we established the cut-off values based on the minimum-maximum values in the normal BM in each age group. The expression of CD10 was higher than the cut-off in 30 ALL cases and in 18 of them there was a concomitant aberrant expression of other markers. In 9 of the 10 CD10+ ALL with normal CD10 SABC values, the expression of at least one other marker was aberrant. In conclusion, the distinction between normal and leukemic cells by QFC was possible in 38/40 CD10+ ALL cases.

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A procedure is described for the rapid determination of the intra-erythrocyte concentration of 6-mercaptopurine (6-MP) and its metabolites, 6-thioguanine nucleotides (6-TGN) and 6-methylmercaptopurine (6-MMP). Erythrocytes (8 x 10(8) cells) in 350 µl Hanks solution containing 7.5 mg dithiothreitol were treated with 50 µl 70% perchloric acid. The precipitate was removed by centrifugation (13,000 g) and the supernatant hydrolyzed at 100°C for 45 min. After cooling, 100 µl was analyzed directly by HPLC using a Radialpack Resolve C18 column eluted with methanol-water (7.5:92.5, v/v) containing 100 mM triethylamine. 6-TG, 6-MP and the hydrolysis product of 6-MMP, 4-amino-5-(methylthio)carbonyl imidazole, were monitored at 342, 322 and 303 nm using a Shimadzu SPD-M10A diode array UV detector. The analytes eluted at 5.3, 6.0 and 10.2 min, respectively. The calibration curves were linear (r² > 0.998), and the analytical recoveries were 73.2% for 6-TG, 119.1% for 6-MP and 97.4% for 6-MMP. The intra- and inter-assay variations were highest for 6-MP (9.6 and 14.3%, respectively). The lowest detectable concentrations were 3, 3 and 25 pmol/8 x 10(8) erythrocytes for 6-TG, 6-MP and 6-MMP, respectively. The quantification limits (coefficients of variation <15%) were 8, 10 and 70 pmol/8 x 10(8) erythrocytes for 6-TG, 6-MP and 6-MMP, respectively. The method was applied to the analysis of 183 samples from 36 children under chemotherapy for acute lymphoblastic leukemia. The concentrations of the metabolites in the red cells of the patients ranged from 0 to 1934 pmol/8 x 10(8) erythrocytes for 6-TGN, and from 0 to 105.8 and 0 to 45.9 nmol/8 x 10(8) erythrocytes for 6-MP and 6-MMP, respectively. The procedure gave results that were in agreement with those obtained with other methods designed to detect cases of non-compliance with treatment, including patient interviews and medical evaluation, among others, demonstrating its applicability to monitoring the treatment of leukemic children.