933 resultados para acute promyelocytic leukemia
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The dogma that the genesis of new cells is a negligible event in the adult mammalian brain has long influenced our perception and understanding of the origin and development of CNS tumours. The discovery that new neurons and glia are produced throughout life from neural stem cells provides new possibilities for the candidate cells of origin of CNS neoplasias. The emerging hypothesis is that alterations in the cellular and genetic mechanisms that control adult neurogenesis might contribute to brain tumorigenesis, thereby allowing the identification of new therapeutic strategies.
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Objective: Recently, much research has been proposed using nature inspired algorithms to perform complex machine learning tasks. Ant colony optimization (ACO) is one such algorithm based on swarm intelligence and is derived from a model inspired by the collective foraging behavior of ants. Taking advantage of the ACO in traits such as self-organization and robustness, this paper investigates ant-based algorithms for gene expression data clustering and associative classification. Methods and material: An ant-based clustering (Ant-C) and an ant-based association rule mining (Ant-ARM) algorithms are proposed for gene expression data analysis. The proposed algorithms make use of the natural behavior of ants such as cooperation and adaptation to allow for a flexible robust search for a good candidate solution. Results: Ant-C has been tested on the three datasets selected from the Stanford Genomic Resource Database and achieved relatively high accuracy compared to other classical clustering methods. Ant-ARM has been tested on the acute lymphoblastic leukemia (ALL)/acute myeloid leukemia (AML) dataset and generated about 30 classification rules with high accuracy. Conclusions: Ant-C can generate optimal number of clusters without incorporating any other algorithms such as K-means or agglomerative hierarchical clustering. For associative classification, while a few of the well-known algorithms such as Apriori, FP-growth and Magnum Opus are unable to mine any association rules from the ALL/AML dataset within a reasonable period of time, Ant-ARM is able to extract associative classification rules.
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Bio-systems are inherently complex information processing systems. Furthermore, physiological complexities of biological systems limit the formation of a hypothesis in terms of behavior and the ability to test hypothesis. More importantly the identification and classification of mutation in patients are centric topics in today's cancer research. Next generation sequencing (NGS) technologies can provide genome-wide coverage at a single nucleotide resolution and at reasonable speed and cost. The unprecedented molecular characterization provided by NGS offers the potential for an individualized approach to treatment. These advances in cancer genomics have enabled scientists to interrogate cancer-specific genomic variants and compare them with the normal variants in the same patient. Analysis of this data provides a catalog of somatic variants, present in tumor genome but not in the normal tissue DNA. In this dissertation, we present a new computational framework to the problem of predicting the number of mutations on a chromosome for a certain patient, which is a fundamental problem in clinical and research fields. We begin this dissertation with the development of a framework system that is capable of utilizing published data from a longitudinal study of patients with acute myeloid leukemia (AML), who's DNA from both normal as well as malignant tissues was subjected to NGS analysis at various points in time. By processing the sequencing data at the time of cancer diagnosis using the components of our framework, we tested it by predicting the genomic regions to be mutated at the time of relapse and, later, by comparing our results with the actual regions that showed mutations (discovered at relapse time). We demonstrate that this coupling of the algorithm pipeline can drastically improve the predictive abilities of searching a reliable molecular signature. Arguably, the most important result of our research is its superior performance to other methods like Radial Basis Function Network, Sequential Minimal Optimization, and Gaussian Process. In the final part of this dissertation, we present a detailed significance, stability and statistical analysis of our model. A performance comparison of the results are presented. This work clearly lays a good foundation for future research for other types of cancer.^
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Despite the advances in the cure rate for acute myeloid leukemia, a considerable number of patients die from their disease due to the occurrence of multidrug resistance (MDR). Overexpression of the transporter proteins P-glycoprotein (Pgp) and multidrug resistance-associated protein (MRP) confer resistance to the treatment these leukemias. OBJECTIVE: To analyze the expression of the Gpp and MRP1 in patients with AML by flow cytometry (FC) and to determine the correlation between expression and demographic and also clinical and laboratorial variables. METHODS: Bone marrow and peripheral blood samples from 346 patients with a diagnosis of AML were assessed for the expression of Pgp and MRP1 by FC. RESULTS: The expression of Pgp and MRP1 was found in 111 (32.1%) and 133 (38.4%) patients, respectively, with greater prevalence in older patients and lower in adolescents, observing also a high incidence in patients with refractory disease, recurrence and secondary in comparison with the cases of de novo AML. Regarding the laboratory findings, we observed a higher correlation statistically significant between the expression of Pgp and MRP1 in AML CD34+ and FAB AML M7, M5A and M2 and lower the M3 subtype, not observed statistically significant correlation between the phenotype MDR and other laboratory data such with hemoglobin, leukocyte count, platelet count, aberrant expression of lymphoid antigens (CD2, CD7 and CD19) and clinical signs related to the disease. CONCLUSIONS: The results showed that the detection of MDR phenotype by flow cytometry can be a molecular marker for prognosis independent patients diagnosed with AML.
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Proper balancing of the activities of metabolic pathways to meet the challenge of providing necessary products for biosynthetic and energy demands of the cell is a key requirement for maintaining cell viability and allowing for cell proliferation. Cell metabolism has been found to play a crucial role in numerous cell settings, including in the cells of the immune system, where a successful immune response requires rapid proliferation and successful clearance of dangerous pathogens followed by resolution of the immune response. Additionally, it is now well known that cell metabolism is markedly altered from normal cells in the setting of cancer, where tumor cells rapidly and persistently proliferate. In both settings, alterations to the metabolic profile of the cells play important roles in promoting cell proliferation and survival.
It has long been known that many types of tumor cells and actively proliferating immune cells adopt a metabolic phenotype of aerobic glycolysis, whereby the cell, even under normoxic conditions, imports large amounts of glucose and fluxes it through the glycolytic pathway and produces lactate. However, the metabolic programs utilized by various immune cell subsets have only recently begun to be explored in detail, and the metabolic features and pathways influencing cell metabolism in tumor cells in vivo have not been studied in detail. The work presented here examines the role of metabolism in regulating the function of an important subset of the immune system, the regulatory T cell (Treg) and the role and regulation of metabolism in the context of malignant T cell acute lymphoblastic leukemia (T-ALL). We show that Treg cells, in order to properly function to suppress auto-inflammatory disease, adopt a metabolic program that is characterized by oxidative metabolism and active suppression of anabolic signaling and metabolic pathways. We found that the transcription factor FoxP3, which is highly expressed in Treg cells, drives this phenotype. Perturbing the metabolic phenotype of Treg cells by enforcing increased glycolysis or driving proliferation and anabolic signaling through inflammatory signaling pathways results in a reduction in suppressive function of Tregs.
In our studies focused on the metabolism of T-ALL, we observed that while T-ALL cells use and require aerobic glycolysis, the glycolytic metabolism of T-ALL is restrained compared to that of an antigen activated T cell. The metabolism of T-ALL is instead balanced, with mitochondrial metabolism also being increased. We observed that the pro-anabolic growth mTORC1 signaling pathway was limited in primary T-ALL cells as a result of AMPK pathway activity. AMPK pathway signaling was elevated as a result of oncogene induced metabolic stress. AMPK played a key role in the regulation of T-ALL cell metabolism, as genetic deletion of AMPK in an in vivo murine model of T-ALL resulted in increased glycolysis and anabolic metabolism, yet paradoxically increased cell death and increased mouse survival time. AMPK acts to promote mitochondrial oxidative metabolism in T-ALL through the regulation of Complex I activity, and loss of AMPK reduced mitochondrial oxidative metabolism and resulted in increased metabolic stress. Confirming a role for mitochondrial metabolism in T-ALL, we observed that the direct pharmacological inhibition of Complex I also resulted in a rapid loss of T-ALL cell viability in vitro and in vivo. Taken together, this work establishes an important role for AMPK to both balance the metabolic pathways utilized by T-ALL to allow for cell proliferation and to also promote tumor cell viability by controlling metabolic stress.
Overall, this work demonstrates the importance of the proper coupling of metabolic pathway activity with the function needs of particular types of immune cells. We show that Treg cells, which mainly act to keep immune responses well regulated, adopt a metabolic program where glycolytic metabolism is actively repressed, while oxidative metabolism is promoted. In the setting of malignant T-ALL cells, metabolic activity is surprisingly balanced, with both glycolysis and mitochondrial oxidative metabolism being utilized. In both cases, altering the metabolic balance towards glycolytic metabolism results in negative outcomes for the cell, with decreased Treg functionality and increased metabolic stress in T-ALL. In both cases, this work has generated a new understanding of how metabolism couples to immune cell function, and may allow for selective targeting of immune cell subsets by the specific targeting of metabolic pathways.
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Rare cases of possible materno-fetal transmission of cancer have been recorded over the past 100 years but evidence for a shared cancer clone has been very limited. We provide genetic evidence for mother to offspring transmission, in utero, of a leukemic cell clone. Maternal and infant cancer clones shared the same unique BCR-ABL1 genomic fusion sequence, indicating a shared, single-cell origin. Microsatellite markers in the infant cancer were all of maternal origin. Additionally, the infant, maternally- derived cancer cells had a major deletion on one copy of chromosome 6p that included deletion of HLA alleles that were not inherited by the infant (i.e., foreign to the infant), suggesting a possible mechanism for immune evasion.
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Thesis (Ph.D.)--University of Washington, 2016-08
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O cancro é um dos maiores causadores globais de mortalidade e morbilidade, ocorrendo cerca de 14 milhões de novos casos por ano e 8,2 milhões de mortes anuais com esta patologia, números que tendem a aumentar 70% nas próximas duas décadas. A característica tumoral mais nefasta é a sua capacidade de metastização para outros órgãos, um mecanismo que pode ser despoletado pela falha dos mecanismos normais de controlo de crescimento, proliferação e reparação celulares, que facilita o processo de transformação de células normais em células cancerígenas. A oncogénese processa-se em três etapas, a iniciação, a promoção e a progressão e pode ter origem em células estaminais cancerígenas, que regulam as capacidades de propagação e recidiva do tumor. As neoplasias hematológicas resultam de alterações genéticas e /ou epigenéticas que conduzem à desregulação da proliferação, ao bloqueio da diferenciação e/ou à resitência à apoptose. Para além dos fatores de risco exógenos, como agentes carcinogénicos físicos, químicos e biológicos, existem também fatores endógenos, incluindo características genéticas, que podem alterar a predisposição para o aparecimento de neoplasias, bem como influenciar a resposta à terapêutica. Uma das terapêuticas aplicadas no tratamento do cancro é a quimioterapia. Os fármacos administrados a doentes oncológicos seguem normalmente o percurso de absorção, distribuição, metabolização e eliminação. Este curso pode sofrer alterações caso as proteínas transportadoras e metabolizadoras necessárias não atuem corretamente. Para um melhor conhecimento da influência das alterações provocadas por variações nos genes que codificam proteínas transportadoras de efluxo (MDR1, MRP1), proteínas de influxo (OCTN2) e proteínas metabolizadoras (UCK2), o objetivo deste trabalho consistiu na avaliação de polimorfismos nos genes MDR1, MRP1, OCTN2 e UCK2 e da sua relação com a predisposição para o desenvolvimento de neoplasias hematológicas. Para isto, foram utilizadas amostras de 307 doentes com neoplasias hematológicas, 83 de Síndrome Mielodisplásica (SMD), 63 Leucemia Mieloide Aguda (LMA), 16 de Síndrome Mielodisplásica/Neoplasias Mieloproliferativas (SMD/NMP), 77 de Mieloma Múltiplo (MM) e 68 de Gamapatia Monoclonal de Significado Indeterminado (MGUS) e 164 de controlos não neoplásicos e/ou indivíduos saudáveis. As amostras de ADN foram extraídas do sangue periférico com protocolo adequado. De forma a determinar os genótipos correspondentes a cada amostra, realizaram-se técnicas de RFLP-PCR e ARMS-PCR. Posteriormente, calcularam-se estatisticamente as frequências alélicas e genotípicas relativas às variantes polimórficas dos genes MDR1, MRP1, OCTN2 e UCK2 e verificou-se se estavam em Equilíbrio de Hardy-Weinberg. De seguida, avaliou-se a força de associação entre as formas polimórficas e o risco de desenvolvimento de neoplasias hematológicas, através do cálculo do risco relativo por análise de regressão logística. Avaliaram-se ainda os perfis genéticos e a possível relação com o desenvolvimento e progressão da neoplasia com recurso a regressão logística e análise de Kaplan-Meier. De um modo geral as frequências alélicas e genotípicas não se revelaram alteradas comparativamente ao esperado. A análise do odds ratio associado ao polimorfismo rs1045642 do gene MDR1 revelou que o genótipo CT pode constituir um fator de risco aumentado de 1,84x para o desenvolvimento de Gamapatias Monoclonais e 2,27x para o desenvolvimento de Mieloma Múltiplo. Por outro lado, a presença de genótipos portadores do alelo T têm um efeito protetor no desenvolvimento de MM (OR=0,41). O cálculo do risco associado ao polimorfismo rs4148330 do gene MRP1 revela que o genótipo AG é um fator protetor (OR=0,50) para o desenvolvimento de LMA, assim como o alelo G (OR=0,50). Além disso, verificámos que existe uma associação de risco de desenvolver neoplasia com o polimorfismo rs2185268 do gene UCK2. De facto, a presença dos genótipos CC e AC representam um fator de risco 4,59x aumentado para o desenvolvimento de SMD/NMP. O polimorfismo rs274561 do gene OCTN2 não apresenta relação com o risco relativo de desenvolvimento neoplásico. Da avaliação da influência dos polimorfismos em estudo na sobrevivência global dos doentes, podemos assumir que a presença do genótipo GG relativo ao polimorfismo rs2185268 do gene UCK2 representa uma diminuição da sobrevivência em 11 meses. Os resultados obtidos a partir do nosso estudo permitem-nos concluir que os polimorfismos podem ser fatores relevantes na predisposição para o desenvolvimento de neoplasias hematológicas e na progressão destas doenças.
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Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare subtype of leukemia/lymphoma, whose diagnosis can be difficult to achieve due to its clinical and biological heterogeneity, as well as its overlapping features with other hematologic malignancies. In this study we investigated whether the association between the maturational stage of tumor cells and the clinico-biological and prognostic features of the disease, based on the analysis of 46 BPDCN cases classified into three maturation-associated subgroups on immunophenotypic grounds. Our results show that blasts from cases with an immature plasmacytoid dendritic cell (pDC) phenotype exhibit an uncommon CD56- phenotype, coexisting with CD34+ non-pDC tumor cells, typically in the absence of extramedullary (e.g. skin) disease at presentation. Conversely, patients with a more mature blast cell phenotype more frequently displayed skin/extramedullary involvement and spread into secondary lymphoid tissues. Despite the dismal outcome, acute lymphoblastic leukemia-type therapy (with central nervous system prophylaxis) and/or allogeneic stem cell transplantation appeared to be the only effective therapies. Overall, our findings indicate that the maturational profile of pDC blasts in BPDCN is highly heterogeneous and translates into a wide clinical spectrum -from acute leukemia to mature lymphoma-like behavior-, which may also lead to variable diagnosis and treatment.
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Acute myeloid leukemia (AML) involves the proliferation, abnormal survival and arrest of cells at a very early stage of myeloid cell differentiation. The biological and clinical heterogeneity of this disease complicates treatment and highlights the significance of understanding the underlying causes of AML, which may constitute potential therapeutic targets, as well as offer prognostic information. Tribbles homolog 2 (Trib2) is a potent murine oncogene capable of inducing transplantable AML with complete penetrance. The pathogenicity of Trib2 is attributed to its ability to induce proteasomal degradation of the full length isoform of the transcription factor CCAAT/enhancer-binding protein alpha (C/EBPα p42). The role of TRIB2 in human AML cells, however, has not been systematically investigated or targeted. Across human cancers, TRIB2 oncogenic activity was found to be associated with its elevated expression. In the context of AML, TRIB2 overexpression was suggested to be associated with the large and heterogeneous subset of cytogenetically normal AML patients. Based upon the observation that overexpression of TRIB2 has a role in cellular transformation, the effect of modulating its expression in human AML was examined in a human AML cell line that expresses high levels of TRIB2, U937 cells. Specific suppression of TRIB2 led to impaired cell growth, as a consequence of both an increase in apoptosis and a decrease in cell proliferation. Consistent with these in vitro results, TRIB2 silencing strongly reduced progression of the U937 in vivo xenografts, accompanied by detection of a lower spleen weight when compared with mice transplanted with TRIB2- expressing control cells. Gene expression analysis suggested that TRIB2 modulates apoptosis and cell-cycle sensitivity by influencing the expression of a subset of genes known to have implications on these phenotypes. Furthermore, TRIB2 was found to be expressed in a significant subset of AML patient samples analysed. To investigate whether increased expression of this gene could be afforded prognostic significance, primary AML cells with dichotomized levels of TRIB2 transcripts were evaluated in terms of their xenoengraftment potential, an assay reported to correlate with disease aggressiveness observed in humans. A small cohort of analysed samples with higher TRIB2 expression did not associate with preferential leukaemic cell engraftment in highly immune-deficient mice, hence, not predicting for an adverse prognosis. However, further experiments including a larger cohort of well characterized AML patients would be needed to clarify TRIB2 significance in the diagnostic setting. Collectively, these data support a functional role for TRIB2 in the maintenance of the oncogenic properties of human AML cells and suggest TRIB2 can be considered a rational therapeutic target. Proteasome inhibition has emerged as an attractive target for the development of novel anti-cancer therapies and results from translational research and clinical trials support the idea that proteasome inhibitors should be considered in the treatment of AML. The present study argued that proteasome inhibition would effectively inhibit the function of TRIB2 by abrogating C/EBPα p42 protein degradation and that it would be an effective pharmacological targeting strategy in TRIB2-positive AMLs. Here, a number of cell models expressing high levels of TRIB2 were successfully targeted by treatment with proteasome inhibitors, as demonstrated by multiple measurements that included increased cytotoxicity, inhibition of clonogenic growth and anti-AML activity in vivo. Mechanistically, it was shown that block of the TRIB2 degradative function led to an increase of C/EBPα p42 and that response was specific to the TRIB2-C/EBPα axis. Specificity was addressed by a panel of experiments showing that U937 cells (express detectable levels of endogenous TRIB2 and C/EBPα) treated with the proteasome inhibitor bortezomib (Brtz) displayed a higher cytotoxic response upon TRIB2 overexpression and that ectopic expression of C/EBPα rescued cell death. Additionally, in C/EBPα-negative leukaemia cells, K562 and Kasumi 1, Brtz-induced toxicity was not increased following TRIB2 overexpression supporting the specificity of the compound on the TRIB2-C/EBPα axis. Together these findings provide pre-clinical evidence that TRIB2- expressing AML cells can be pharmacologically targeted with proteasome inhibition due, in part, to blockage of the TRIB2 proteolytic function on C/EBPα p42. A large body of evidence indicates that AML arises through the stepwise acquisition of genetic and epigenetic changes. Mass spectrometry data has identified an interaction between TRIB2 and the epigenetic regulator Protein Arginine Methyltransferase 5 (PRMT5). Following assessment of TRIB2‟s role in AML cell survival and effective targeting of the TRIB2-C/EBPα degradation pathway, a putative TRIB2/PRMT5 cooperation was investigated in order to gain a deeper understanding of the molecular network in which TRIB2 acts as a potent myeloid oncogene. First, a microarray data set was interrogated for PRMT5 expression levels and the primary enzyme responsible for symmetric dimethylation was found to be transcribed at significantly higher levels in AML patients when compared to healthy controls. Next, depletion of PRMT5 in the U937 cell line was shown to reduce the transformative phenotype in the high expressing TRIB2 AML cells, which suggests that PRMT5 and TRIB2 may cooperate to maintain the leukaemogenic potential. Importantly, PRMT5 was identified as a TRIB2-interacting protein by means of a protein tagging approach to purify TRIB2 complexes from 293T cells. These findings trigger further research aimed at understanding the underlying mechanism and the functional significance of this interplay. In summary, the present study provides experimental evidence that TRIB2 has an important oncogenic role in human AML maintenance and, importantly in such a molecularly heterogeneous disease, provides the rational basis to consider proteasome inhibition as an effective targeting strategy for AML patients with high TRIB2 expression. Finally, the identification of PRMT5 as a TRIB2-interacting protein opens a new level of regulation to consider in AML. This work may contribute to our further understanding and therapeutic strategies in acute leukaemias.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
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Dissertação de Mestrado, Ciências Biomédicas, Departamento de Ciências Biomédicas e Medicina, Universidade do Algarve, 2016
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Nous avons investigué la relation entre les polymorphismes de nucléotides simples (SNPs) chez trois gènes/loci candidats : DARC, CXCL2 et le loci ORMDL3-GSDMA-CSF3 situés sur le chromosome 17q21 et les complications neutropéniques et infectieuses qui en résultent durant la chimiothérapie chez les patients atteints de la leucémie lymphoblastique aigue. Ces loci codent pour certaines composantes du système immunitaire altérant la concentration de chémokines et leur distribution (DARC), stimulant le relâchement et la migration des neutophiles de la moelle épinière (CXCL2) et régulant la prolifération et la survie des granulocytes (G-CSF). Il est possible que des polymorphismes dans ces loci lorsqu’associés à de la chimiothérapie puissent mettre des individus suceptibles à un risque plus élevé de complication reliées à la chimiothérapie. Une sélection des marqueurs SNPs dans ces gènes ont été génotypés chez des enfants traités au CHU Ste-Justine pour une ALL entre 1989 et 2005. Après correction pour tests multiples, un polymorphisme DARC rs3027012 situé dans le 5’UTR a été associé à un compte phagocytaire peu élevé (APC<500 et <1000 cellules/µL, p=0.001 and p=0.0005, respectivement) ainsi qu’une hospitalisation due à une neutropénie (p=0.007) ou due à une infection et/ou neutropénie (p=0.007). Un effet protecteur a été identifié pour la mutation non sense Gly42Asp variant rs12075 (p=0.006). Des polymorphismes sur le chromosome 17q2 étaient associés à une hospitalisation due à une infection (rs3859192, p= 0.004) et à une neutropénie (rs17609240, p=0.006) L’infection était aussi modulée par CXCL2 (rs16850408, p=0.008) Cette étude identifie pour la première fois que les loci modulant le décompte des leucocytes et des neutrophiles pourraient jouer un rôle dans de déclenchement de complications dues à la chimiothérapie et pourraient ainsi servir de marqueurs pour un ajustement et un suivi du traitement.
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Nous avons investigué la relation entre les polymorphismes de nucléotides simples (SNPs) chez trois gènes/loci candidats : DARC, CXCL2 et le loci ORMDL3-GSDMA-CSF3 situés sur le chromosome 17q21 et les complications neutropéniques et infectieuses qui en résultent durant la chimiothérapie chez les patients atteints de la leucémie lymphoblastique aigue. Ces loci codent pour certaines composantes du système immunitaire altérant la concentration de chémokines et leur distribution (DARC), stimulant le relâchement et la migration des neutophiles de la moelle épinière (CXCL2) et régulant la prolifération et la survie des granulocytes (G-CSF). Il est possible que des polymorphismes dans ces loci lorsqu’associés à de la chimiothérapie puissent mettre des individus suceptibles à un risque plus élevé de complication reliées à la chimiothérapie. Une sélection des marqueurs SNPs dans ces gènes ont été génotypés chez des enfants traités au CHU Ste-Justine pour une ALL entre 1989 et 2005. Après correction pour tests multiples, un polymorphisme DARC rs3027012 situé dans le 5’UTR a été associé à un compte phagocytaire peu élevé (APC<500 et <1000 cellules/µL, p=0.001 and p=0.0005, respectivement) ainsi qu’une hospitalisation due à une neutropénie (p=0.007) ou due à une infection et/ou neutropénie (p=0.007). Un effet protecteur a été identifié pour la mutation non sense Gly42Asp variant rs12075 (p=0.006). Des polymorphismes sur le chromosome 17q2 étaient associés à une hospitalisation due à une infection (rs3859192, p= 0.004) et à une neutropénie (rs17609240, p=0.006) L’infection était aussi modulée par CXCL2 (rs16850408, p=0.008) Cette étude identifie pour la première fois que les loci modulant le décompte des leucocytes et des neutrophiles pourraient jouer un rôle dans de déclenchement de complications dues à la chimiothérapie et pourraient ainsi servir de marqueurs pour un ajustement et un suivi du traitement.