Problèmes de comportement à long terme chez les patients pédiatriques atteints de leucémie lymphoblastique aiguë

Les améliorations dans les protocoles de traitement pour la majorité des cancers pédiatriques ont augmenté de façon marquée les taux de survie. Cependant, des risques élevés de multiples problèmes de santé chez les survivants sont bien documentés. En ce qui concerne spécifiquement les problèmes neuropsychologiques, les principaux facteurs de risque individuels connus à ce jour (l’âge au diagnostic, le genre du patient, l’exposition aux radiations) demeurent insuffisants pour cibler efficacement et prévenir les séquelles à long terme. Les objectifs généraux de cette thèse étaient : 1) la caractérisation des trajectoires individuelles de problèmes de comportement chez une population de patients pédiatriques atteints de leucémie lymphoblastique aiguë; 2) l’identification des principaux déterminants génétiques, médicaux et psychosociaux associés aux problèmes de comportements. Les hypothèses étaient : 1) Il existe une association entre les trajectoires individuelles de problèmes de comportement et a - des facteurs psychosociaux liés au fonctionnement familial, b - des polymorphismes dans les gènes modérateurs des effets thérapeutiques du méthotrexate et des glucocorticoïdes, c - des variables liées aux traitements oncologiques. 2) L'utilisation de modèles statistiques multi-niveaux peut permettre d’effectuer cette caractérisation des trajectoires individuelles et l’identification des facteurs de risque associés. 138 patients pédiatriques (0-18 ans) ayant reçu un diagnostic de leucémie lymphoblastique aiguë entre 1993 et 1999 au CHU Ste-Justine ont participé à une étude longitudinale d’une durée de 4 ans. Un instrument validé et standardisés, le Child Behavior Checklist, a été utilisé pour obtenir un indice de problèmes de comportement, tel que rapporté par la mère, au moment du diagnostic, puis 1, 2, 3 et 4 ans post-diagnostic. Des données génétiques, psychosociales et médicales ont aussi été collectées au cours de cette même étude longitudinale, puis ont été exploitées dans les modélisations statistiques effectuées. Les résultats obtenus suggèrent que les problèmes de comportement de type internalisés et externalisés possèdent des trajectoires et des facteurs de risque distincts. Les problèmes internalisés sont des manifestations de troubles affectifs chez le patient, tels que des symptômes dépressifs ou anxieux, par exemple. Ceux-ci sont très prévalents tôt après le diagnostic et se normalisent par la suite, indiquant des difficultés significatives, mais temporaires. Des facteurs médicaux exacerbant l'expérience de stress, soit le risque de rechute associé au diagnostic et les complications médicales affectant la durée de l'hospitalisation, ralentissent cette normalisation. Les problèmes externalisés se manifestent dans le contact avec autrui; des démonstrations d’agression ou de violence font partie des symptômes. Les problèmes externalisés sont plus stables dans le temps relativement aux problèmes internalisés. Des variables pharmacologiques et génétiques contribuent aux différences individuelles : l'administration d’un glucocorticoïde plus puissant du point de vue des effets pharmacologiques et toxicologiques, ainsi que l’homozygotie pour l’haplotype -786C844T du gène NOS3 sont liés à la modulation des scores de problèmes externalisés au fil du temps. Finalement, le niveau de stress familial perçu au diagnostic est positivement corrélé avec le niveau initial de problèmes externalisés chez le patient, tandis que peu après la fin de la période d’induction, le niveau de stress familial est en lien avec le niveau initial de problèmes internalisés. Ces résultats supportent l'idée qu'une approche holistique est essentielle pour espérer mettre en place des interventions préventives efficaces dans cette population. À long terme, ces connaissances pourraient contribuer significativement à l'amélioration de la qualité de vie des patients. Ces travaux enrichissent les connaissances actuelles en soulignant les bénéfices des suivis longitudinaux et multidisciplinaires pour comprendre la dynamique de changement opérant chez les patients. Le décloisonnement des savoirs semble devenir incontournable pour aspirer dépasser le cadre descriptif et atteindre un certain niveau de compréhension des phénomènes observés. Malgré des défis méthodologiques et logistiques évidents, ce type d’approche est non seulement souhaitable pour étudier des processus dynamiques, mais les travaux présentés dans cette thèse indiquent que cela est possible avec les moyens analytiques actuels.

Compreendendo a experiência de crianças e adolescentes submetidos à punção de medula óssea e lombar em centro cirúrgico de um hospital oncológico

Pós-graduação em Enfermagem (mestrado profissional) - FMB

Clinical Utility of Microarray-Based Gene Expression Profiling in the Diagnosis and Subclassification of Leukemia: Report From the International Microarray Innovations in Leukemia Study Group

The Microarray Innovations in Leukemia study assessed the clinical utility of gene expression profiling as a single test to subtype leukemias into conventional categories of myeloid and lymphoid malignancies. METHODS: The investigation was performed in 11 laboratories across three continents and included 3,334 patients. An exploratory retrospective stage I study was designed for biomarker discovery and generated whole-genome expression profiles from 2,143 patients with leukemias and myelodysplastic syndromes. The gene expression profiling-based diagnostic accuracy was further validated in a prospective second study stage of an independent cohort of 1,191 patients. RESULTS: On the basis of 2,096 samples, the stage I study achieved 92.2% classification accuracy for all 18 distinct classes investigated (median specificity of 99.7%). In a second cohort of 1,152 prospectively collected patients, a classification scheme reached 95.6% median sensitivity and 99.8% median specificity for 14 standard subtypes of acute leukemia (eight acute lymphoblastic leukemia and six acute myeloid leukemia classes, n = 693). In 29 (57%) of 51 discrepant cases, the microarray results had outperformed routine diagnostic methods. CONCLUSION: Gene expression profiling is a robust technology for the diagnosis of hematologic malignancies with high accuracy. It may complement current diagnostic algorithms and could offer a reliable platform for patients who lack access to today's state-of-the-art diagnostic work-up. Our comprehensive gene expression data set will be submitted to the public domain to foster research focusing on the molecular understanding of leukemias

The use of mannan antigen and anti-mannan antibodies in the diagnosis of invasive candidiasis: recommendations from the Third European Conference on Infections in Leukemia.

INTRODUCTION: Timely diagnosis of invasive candidiasis (IC) remains difficult as the clinical presentation is not specific and blood cultures lack sensitivity and need a long incubation time. Thus, non-culture-based methods for diagnosing IC have been developed. Mannan antigen (Mn) and anti-mannan antibodies (A-Mn) are present in patients with IC. On behalf of the Third European Conference on Infections in Leukemia, the performance of these tests was analysed and reviewed. METHODS: The literature was searched for studies using the commercially available sandwich enzyme-linked immunosorbent assays (Platelia™, Bio-Rad Laboratories, Marnes-la-Coquette, France) for detecting Mn and A-Mn in serum. The target condition of this review was IC defined according to 2008 European Organization for Research and Treatment of Cancer/Mycoses Study Group criteria. Sensitivity, specificity and diagnostic odds ratios (DOR) were calculated for Mn, A-Mn and combined Mn/A-Mn testing. RESULTS: Overall, 14 studies that comprised 453 patients and 767 controls were reviewed. The patient populations included in the studies were mainly haematological and cancer cases in seven studies and mainly intensive care unit and surgery cases in the other seven studies. All studies but one were retrospective in design. Mn sensitivity was 58% (95% confidence interval [CI], 53-62); specificity, 93% (95% CI, 91-94) and DOR, 18 (95% CI 12-28). A-Mn sensitivity was 59% (95% CI, 54-65); specificity, 83% (95% CI, 79-97) and DOR, 12 (95% CI 7-21). Combined Mn/A-Mn sensitivity was 83% (95% CI, 79-87); specificity, 86% (95% CI, 82-90) and DOR, 58 (95% CI 27-122). Significant heterogeneity of the studies was detected. The sensitivity of both Mn and A-Mn varied for different Candida species, and it was the highest for C. albicans, followed by C. glabrata and C. tropicalis. In 73% of 45 patients with candidemia, at least one of the serological tests was positive before the culture results, with mean time advantage being 6 days for Mn and 7 days for A-Mn. In 21 patients with hepatosplenic IC, 18 (86%) had Mn or A-Mn positive test results at a median of 16 days before radiological detection of liver or spleen lesions. CONCLUSIONS: Mn and A-Mn are useful for diagnosis of IC. The performance of combined Mn/A-Mn testing is superior to either Mn or A-Mn testing.

Validation of DNA methylation biomarkers for diagnosis of acute lymphoblastic leukemia

DNA methylation biomarkers capable of diagnosis and subtyping have been found for many cancers. Fifteen such markers have previously been identified for pediatric acute lymphoblastic leukemia (ALL). Validation of these markers is necessary to assess their clinical utility for molecular diagnostics. Substantial efficiencies could be achieved with these DNA methylation markers for disease tracking with potential to replace patient-specific genetic testing.

Minimal residual disease in cerebrospinal fluid at diagnosis: a more intensive treatment protocol was able to eliminate the adverse prognosis in children with acute lymphoblastic leukemia

We analyzed cerebrospinal fluid (CSF) samples from 65 consecutive children with acute lymphoblastic leukemia (ALL) treated according to two different treatment protocols (GBTLI-ALL-93 and -99) with no puncture accident for minimal residual disease (MRD) in the central nervous system (CNS). Minimal residual disease was detected by polymerase chain reaction (PCR) with homo/heteroduplex analysis using consensus primers to IgH and TCR genes. MRD in the CSF at diagnosis was detected by PCR in 46.8% of children with no puncture accident or morphological involvement. In patients treated with GBTLI-ALL-93 a significantly lower 5-year event-free survival (EFS) was demonstrated for those with CSF involvement, in univariate (p = 0.01) and multivariate (p = 0.04) analysis. This observation was not true for patients treated with the more intensive protocol GBTLI-ALL-99 (p = 0.81). These findings suggest that MRD detection in the CSF is a common event in children with ALL. Treatment intensification provided by the GBTLI-ALL-99 apparently overcomes the detrimental effect of CNS minimal residual disease at diagnosis.

Molecular basis for the diagnosis and treatment of acute promyelocytic leukemia

Acute promyelocytic leukemia is characterized by gene rearrangements that always involve the retinoic acid receptor alpha on chromosome 15. In the majority of patients t(15;17) is detected, which generates the promyelocytic leukemia gene/retinoic acid receptor alpha rearrangement. This rearrangement interacts with several proteins, including the native promyelocytic leukemia gene, thus causing its delocalization from the nuclear bodies, impairing its function. The immunofluorescence staining technique using the anti-PML antibody may be used to provide a rapid diagnosis and to immediately start therapy using all-trans retinoic acid. The experience of the International Consortium on Acute Promyelocytic Leukemia has demonstrated that early mortality was significantly reduced by adopting the immunofluorescence technique. All-trans retinoic acid combined with chemotherapy is the standard therapy; this promotes complete remission rates greater than 90% and cure rates of nearly 80%. However, early mortality is still an important limitation and hematologists must be aware of the importance of treating newly diagnosed acute promyelocytic leukemia as a medical emergency.

Diagnosis and treatment of mucormycosis in patients with hematological malignancies: guidelines from the 3rd European Conference on Infections in Leukemia (ECIL 3)

Mucormycosis is an emerging cause of infectious morbidity and mortality in patients with hematologic malignancies. However, there are no recommendations to guide diagnosis and management. The European Conference on Infections in Leukemia assigned experts in hematology and infectious diseases to develop evidence-based recommendations for the diagnosis and treatment of mucormycosis. The guidelines were developed using the evidence criteria set forth by the American Infectious Diseases Society and the key recommendations are summarized here. In the absence of validated biomarkers, the diagnosis of mucormycosis relies on histology and/or detection of the organism by culture from involved sites with identification of the isolate at the species level (no grading). Antifungal chemotherapy, control of the underlying predisposing condition, and surgery are the cornerstones of management (level A II). Options for first-line chemotherapy of mucormycosis include liposomal amphotericin B and amphotericin B lipid complex (level B II). Posaconazole and combination therapy of liposomal amphotericin B or amphotericin B lipid complex with caspofungin are the options for second line-treatment (level B II). Surgery is recommended for rhinocerebral and skin and soft tissue disease (level A II). Reversal of underlying risk factors (diabetes control, reversal of neutropenia, discontinuation/taper of glucocorticosteroids, reduction of immunosuppressants, discontinuation of deferroxamine) is important in the treatment of mucormycosis (level A II). The duration of antifungal chemotherapy is not defined but guided by the resolution of all associated symptoms and findings (no grading). Maintenance therapy/secondary prophylaxis must be considered in persistently immunocompromised patients (no grading).

Increased fibrinogen levels at diagnosis are associated with adverse outcome in patients with acute myeloid leukemia

Increased plasma fibrinogen levels are associated with shortened overall survival (OS) in some solid tumor types. In contrast, the prognostic significance of varying fibrinogen levels in acute myeloid leukemia (AML) at diagnosis is unknown. In this study, we assessed the prognostic significance of fibrinogen levels in AML patients. In a comprehensive retrospective single-center study, we determined the survival rates of 375 consecutive AML patients undergoing at least one cycle of intensive chemotherapy induction treatment. Patients were dichotomized between low (<4.1 g/L) and high fibrinogen levels (≥4.1 g/L) at diagnosis of AML before initiation of treatment. Subsequently, quartile ranges were applied to analyze the association of varying fibrinogen levels on survival. We observed that the rates of complete remission, early death, and admission to intensive care unit were equal in the low versus high fibrinogen group. However, OS was significantly better in the low fibrinogen group (27.3 vs 13.5 months; p = 0.0009) as well as progression-free survival (12.3 vs 7.8 months; p = 0.0076). This survival difference remained significant in the multivariate analysis (p = 0.003). Assessing quartiles of fibrinogen values, we further confirmed this observation. Our data suggest that high fibrinogen levels at diagnosis of AML are associated with unfavorable OS and progression-free survival but not with increased mortality during induction treatment.

Multidimensional classification and diagnosis of leukemia in flow cytometry

This research is to establish new optimization methods for pattern recognition and classification of different white blood cells in actual patient data to enhance the process of diagnosis. Beckman-Coulter Corporation supplied flow cytometry data of numerous patients that are used as training sets to exploit the different physiological characteristics of the different samples provided. The methods of Support Vector Machines (SVM) and Artificial Neural Networks (ANN) were used as promising pattern classification techniques to identify different white blood cell samples and provide information to medical doctors in the form of diagnostic references for the specific disease states, leukemia. The obtained results prove that when a neural network classifier is well configured and trained with cross-validation, it can perform better than support vector classifiers alone for this type of data. Furthermore, a new unsupervised learning algorithm---Density based Adaptive Window Clustering algorithm (DAWC) was designed to process large volumes of data for finding location of high data cluster in real-time. It reduces the computational load to ∼O(N) number of computations, and thus making the algorithm more attractive and faster than current hierarchical algorithms.