京都大学 / 新制・課程博士 / 博士(医学) / 甲第23782号 / 医博第4828号 / 新制||医||1057(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授 羽賀 博典, 教授 波多野 悦朗, 教授 溝脇 尚志 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM

Acute myeloid leukemia (AML) is a deadly cancer of the blood and bone marrow defined by the accumulation of immature and non-functional myeloid progenitor cells. While AML is associated with a high success of chemotherapy-induced remission, it is accompanied by high relapse rates with poor response to subsequent therapies. Therefore, relapsed AML patients only have a 10% probability of long-term survival. An effective postinduction therapy is allogeneic hematopoietic stem cell transplantation (HSCT). However, complications associated with HSCT can be more severe than the AML disease itself. To date, no robust methodology is available to prospectively identify and distinguish AML patients that are more likely to benefit from HSCT. Our group has shown that AML patients with high leukemic progenitor cell content (LPC+) have a significantly lower overall survival (OS) when compared to patients with lower LPC content (LPC-). The objective of this study was to determine whether the LPC assay can be used as a functional predictor of post-HSCT survival. We hypothesized that LPC content correlates to post-HSCT survival times. We performed LPC assays on over 100 primary AML patient samples, showing that HSCT significantly improved OS in both LPC+ and LPC- patients, but LPC+ patients benefited more strongly than LPC- patients. This provides an initial basis to suggest that HSCT can offset the negative prognostic impact associated with high LPC content. To understand the biology of LPCs, we employed the Infinium HumanMethylation450 BeadChip assay to determine whether there are any methylation patterns that distinguish LPC+ and LPC- patients. However, we were not able to discover any uniquely methylated regions that separate the two groups, suggesting for further studies with an increased patient cohort, or extending the analyses to the transcript level. Given the rarity of curative approaches to cancers, a prognostic measure that could determine whether any single patient will benefit from HSCT will have an immediate impact. / Thesis / Master of Science (MSc)

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Hematopoietic stem cell transplantation (HSCT) is an important form of therapy for hematological genetic disorders and malignancies, particularly hematological cancers. However, common usage of this procedure is obstructed by graft-versus-host disease (GvHD), in which transplanted donor T cells wage an attack on recipient antigens, causing severe tissue damage and mortality. GvHD prognosis remains poor, and current treatment methods continue to be insufficient, especially for patients with more advanced and severe GvHD. T cells have been identified as the fundamental force behind GvHD, and their cellular metabolism is deemed vital to their fate and function, especially in pathogenic environments. A hallmark of T cell metabolism in GvHD microenvironments is aerobic glycolysis, which maximizes biomass accumulation and supports growth and proliferation. Lactate dehydrogenase A (LDHA) is an essential enzyme that sustains this pathway and may be a potential therapeutic target. Using murine and in-vitro GvHD models, this study investigates the ameliorative impacts of LDHA inhibition on the fate and function of T cells following HSCT. The results reveal that LDHA depletion leads to an immunosuppressive donor T cell characterization that minimizes recipient harm induced by GvHD. Future studies should focus on investigating LDHA inhibition in in-vivo models to introduce a paradigm shift in the development of clinically relevant therapeutics.

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Diss. (sammanfattning) Stockholm : Karol inst., 2003. / Härtill 5 uppsatser.

Allogeneic haematopoietic stem cell transplantation (alloHSCT) is an established therapy for many haematological disorders. Unfortunately, the new donor-derived immune system may damage host cells (graft-versus-host disease (GvHD)), causing significant morbidity and mortality. Since regulatory T cells (Tregs) can modulate immune responses, it was hypothesised that Treg numbers in the haematopoietic stem cell grafts and/or peripheral blood may influence the development of GvHD and other transplant-related complications. In this project, a prospective observational clinical study of putative Tregs in human alloHSCT was performed in Oxford. Flow cytometry and methylation-specific qPCR assays were developed to quantify putative Tregs and lymphocyte populations within the grafts and post-transplant blood samples. Although low CD4(+)CD25(+)FOXP3(+)CD127(-/dim) T-cell numbers were not associated with increased incidence of GvHD, low proportions of CD25(+)FOXP3(+)CD127(-/dim) cells in the graft (as a percentage of total CD4(+) T cells) were independently associated with poor engraftment, increased non-relapse mortality and inferior overall survival. Similarly, falling CD4(+)CD25(+)FOXP3(+)CD127(-/dim) T-cell counts over the first three months post-transplant were associated with higher non-relapse mortality and inferior overall survival. In view of these novel findings, strategies that increase CD4(+)CD25(+)FOXP3(+)CD127(-/dim) T cells in alloHSCT may improve clinical outcomes. One possible route for increasing Tregs is through cellular therapy. This project therefore tested the hypothesis that CD4(+)CD25(+)FOXP3(+) Tregs can be produced in vitro from conventional CD4(+) T cells. In the presence of TGFβ and Azacitidine, FOXP3 was expressed in the majority of activated CD4(+) T cells. These cells also had a demethylated FOXP3 TSDR enhancer which is specific to natural Tregs. However, most of these cells produced pro-inflammatory cytokines, for example, TNFα. Therefore, under these conditions, FOXP3 expression was not sufficient to produce a Treg phenotype. It is proposed that current focus for generating Tregs for human clinical trials should be directed towards improving isolation and expansion of ex vivo isolated Tregs.

The advent of high-throughput sequencing has brought about the creation of an unprecedented amount of research data. Analytical methodology has not been able to keep pace with the plethora of data being produced. Two assays, ImmunoSEQ and the cytokinesisblock micronucleus (CBMN), that both produce count data and have few methods available to analyze them are considered. ImmunoSEQ is a sequencing assay that measures the beta T-cell receptor (TCR) repertoire. The ImmunoSEQ assay was used to describe the TCR repertoires of patients that have undergone hematopoietic stem cell transplantation (HSCT). Several different methods for spectratype analysis were extended to the TCR sequencing setting then applied to these data to demonstrate different ways the data set can be analyzed. The different methods include CDR3 distribution perturbation, Oligoscores, Simpson's diversity, Shannon diversity, Kullback-Liebler divergence, a non-parametric method and a proportion logit transformation method. Herein we also demonstrate adapting compositional data analysis methods to the TCR sequencing setting. The various methods were compared when analyzing a set of 13 subjects who underwent hematopoietic stem cell transplantation. The eight subjects who developed graft versus host disease were compared to the five who did not. There was no little overlap in the results of the different methods showing that researchers must choose the appropriate method for their research question of interest. The CBMN assay measures the rate of micronuclei (MN) formation in a sample of cells and can be paired with gene expression or methylation assays to determine association between MN formation and other genetic markers. Herein we extended the generalized monotone incremental forward stagewise (GMIFS) method to the situation where the response is count data and there are more independent variables than there are samples. Our Poisson GMIFS method was compared to a popular alternative, glmpath, by using simulations and applying both to real data. Simulations showed that both methods perform similarly in accurately choosing truly significant variables. However, glmpath appears to overfit compared to our GMIFS method. Finally, when both methods were applied to two data sets GMIFS appeared to be more stable than glmpath.

In patients after allogeneic haematopoietic stem cell transplantation (HSCT) is a human cytomegalovirus (CMV) one of the most important viral pathogens. Its detailed characteristic could provide information about the impact of each CMV genotype on overall survival of the patient, and some serious complications, such as graft versus host disease (GvHD). This thesis deals with retrospective genetic analysis of samples from 1877 patients transplanted at the Clinic of Pediatric Hematology and Oncology, University Hospital Motol and the Institute of Hematology and Blood Transfusion since 2002. DNA from biological samples (especially whole blood) was isolated kit Qiagen DNA Blood Mini or Qiagen DNA Mini and samples were prospectively detected presence of CMV DNA. Samples were subsequently stored at -20 řC. Genotyping was performed using real-time PCR technologies to the genes of 2 structural proteins glycoprotein B, glycoprotein H and using sequence specific primers and probes. In 1343 samples (71.6%) from 390 patients there was only one strain of CMV; in 256 (13.6%) samples from 113 patients have detected mixed infection caused by two or more strains of CMV. The most common genotype demonstrated in "single" infection was in pediatric and adult patients gB1/gH2 detected in 118 (28.4%) patients. Most...