To supplement and modify the diagnosis and clinical research of B-cell Chronic Lymphocytic Leukemia (B-CLL), a new method based on cell imaging and image processing was developed and applied to the B-CLL patient samples. The fluorophore-labelled leukemia cells were clearly visualized, reflecting the positive/negative expression of the corresponding surface markers and their distribution. Computer algorithms were devised and used to analyze a large number of images. The fluorescence intensity of the labelled antibodies on a given cell directly reflects the expression of the corresponding surface markers. The morphology and size of leukemia cells were not identical even in the same patient’s sample and the size variation does not correlate with the number of surface markers. The amount of each surface marker was approximately fixed for each patient, but there were some relationships, for instance, the number of CD19 and CD38 markers were correlated to each other. The heterogeneous expression of surface markers confirmed an assumption that surface markers have their preferred membrane positions. One of the most important results is that the cell imaging and our image processing method has provided an alternative and reliable way to diagnose B-CLL and new insights in the prognosis of subtype of B-CLL.

To supplement and modify the diagnosis and clinical research of B-cell Chronic Lymphocytic Leukemia (B-CLL), a new method based on cell imaging and image processing was developed and applied to the B-CLL patient samples. The fluorophore-labelled leukemia cells were clearly visualized, reflecting the positive/negative expression of the corresponding surface markers and their distribution. Computer algorithms were devised and used to analyze a large number of images. The fluorescence intensity of the labelled antibodies on a given cell directly reflects the expression of the corresponding surface markers. The morphology and size of leukemia cells were not identical even in the same patient’s sample and the size variation does not correlate with the number of surface markers. The amount of each surface marker was approximately fixed for each patient, but there were some relationships, for instance, the number of CD19 and CD38 markers were correlated to each other. The heterogeneous expression of surface markers confirmed an assumption that surface markers have their preferred membrane positions. One of the most important results is that the cell imaging and our image processing method has provided an alternative and reliable way to diagnose B-CLL and new insights in the prognosis of subtype of B-CLL.

Η παρούσα διδακτορική διατριβή έχει ως στόχο τη δημιουργία ενός αποδοτικού μοντέλου για το Λειτουργικό Συνδυασμό Βιο-Ιατρικών δεδομένων (BioMedical data integration). Ξεκινώντας από τη σχεδιαστική ανάλυση της ιατρικής γνώσης και των προβλημάτων που προκύπτουν από τον τρόπο παραγωγής των ιατρικών δεδομένων, προχωρεί στην επίλυση των επιμέρους θεμάτων Λειτουργικού Συνδυασμού εντός ενός συγκεκριμένου ιατρικού πεδίου και καταλήγει στον ολοκληρωμένο Λειτουργικό Συνδυασμό ιατρικών δεδομένων προερχόμενων από διαφορετικές πηγές και πεδία γνώσης. Συνεχίζει με τη σχεδίαση ενός μοντέλου βάσεων δεδομένων που ακολουθεί «οριζόντια» λογική και είναι αρκετά αποδοτικό ώστε να αποκρίνεται σε πολύπλοκα και ευρείας κλίμακας ερωτήματα σε πραγματικό χρόνο. Καταλήγει με την παρουσίαση μίας ολοκληρωμένης εφαρμογής η οποία εκμεταλλευόμενη τα πλεονεκτήματα του Λειτουργικού Συνδυασμού και της οριζόντιας δομής των δεδομένων είναι σε θέση να διαχειριστεί εξετάσεις προερχόμενες από κάθε κυτταρομετρητή ροής και συνδυάζοντάς αυτές με τις υπόλοιπες αιματολογικές κλινικοεργαστηριακές εξετάσεις να απαντά σε καθημερινά και σύνθετα ερευνητικά, ιατρικά ερωτήματα. Τα πρωτότυπα ερευνητικά αποτελέσματα που προέκυψαν στα πλαίσια της παρούσης εργασίας δημοσιεύτηκαν σε έγκυρα διεθνή περιοδικά και σε διεθνή και ελληνικά συνέδρια με κριτές. / Current dissertation focuses on the creation of an efficient model for Bio-medical data integration. Starting with an analytical approach of the medical knowledge and the problems that may occur cause of the way that medical data are produced, continues with the necessary solutions for single domain data integration and concludes with the proposal of a working framework for mass data integration, originating from multiple medical domains. The proposed integration model is based on the “horizontal” logic of a database design and it’s efficient enough to produce query results in real time, even for complex real-life medical questions. The proof of concept of the working framework and its goals for mass data integration is achieved through the presentation of a medical information system. The presented system, by taking advantage of the “horizontal” database design, is able to manage Flow Cytometry measurements, originating for any available hardware and by integrating the cytometric data with other types of hematological data is able to give answers to everyday and research medical questions. All original research results that produced within the scope of this dissertation were published in international research journals and medical conferences.

L’ostéonécrose (ON) et les fractures (FR) sont des complications qui prennent de plus en plus place dans le traitement pédiatrique de la leucémie aiguë lymphoblastique (LAL). L’ON peut être causée par différents facteurs, dont principalement l’utilisation de glucocorticoïdes. Les glucocorticoïdes sont administrés lors du traitement de la leucémie dans le but d’initier l’apoptose des cellules malignes tout en ayant un effet anti-inflammatoire. Cependant, l’utilisation de ces corticostéroïdes comprend des effets secondaires sérieux, notamment le développement d’ostéonécrose. Des variantes génétiques peuvent mettre certains patients plus à risque que d’autres. Plusieurs gènes ont déjà été signalés comme régulés par les actions glucocorticoïdes (GC). Les variations génétiques présentes dans les régions régulatrices de ces gènes peuvent affecter leur fonctionnement normal et, en fin de compte, de déterminer un risque accru de développer l’ON associé au traitement contre la leucémie. Pour cette raison, plusieurs polymorphismes ont été identifiés et étudiés dans la cohorte QcALL de Ste-Justine, concernant les gènes suivants : ABCB1, ACP1, BCL2L11, NFKB1, PARP1, et SHMT1. Ces gènes jouent majoritairement un rôle dans les mécanismes d’action des glucocorticoïdes, mais quelques-uns ont plutôt un effet direct sur le développement d’ostéonécrose. Nos recherches ont démontré une corrélation entre ces polymorphismes et l’apparition d’ostéonécrose chez les patients de la cohorte QcALL, traités aux glucocorticoïdes. L'incidence cumulative de l'ostéonécrose a été évaluée rétrospectivement chez 305 enfants atteints de la leucémie qui ont subi un traitement à l’hôpital Ste-Justine selon les protocoles DFCI de Boston (87-01, 91-01, 95-01 et 2000-01). Parmi les huit polymorphismes de BCL2L11 étudiés, les 891T> G (rs2241843) et 29201C> T (rs724710) ont été significativement associés à ON (p = 0.01 et p = 0.03, respectivement). L'association du polymorphisme 891T> G a été modulée par le type de corticostéroïde (CS), l’âge, le sexe et le groupe à risque (p ≤ 0,05). Le polymorphisme 29201C> T était particulièrement apparent chez les patients à haut risque (p = 0,003). La même étude était conduite en parallèle sur des patients de la cohorte DFCI de Boston (N = 192), et montrait des résultats significatifs pour les polymorphismes étudiés. En conclusion, les résultats de cette étude permettront de confirmer l’association de ces polymorphismes au développement d’ON chez les patients de LLA traités aux GC. / Osteonecrosis (ON) and fractures (FR) are complications that take place in the treatment of children acute lymphoblastic leukemia (cALL). They can be caused by various factors, mainly using glucocorticoids. The corticosteroids, dexamethasone (DXM) and prednisone (PDN) are administered during the treatment of leukemia to initiate apoptosis of malignant cells; while having an anti-inflammatory effect. However, the use of these corticosteroids has severe side effects, including the development of osteonecrosis. Moreover, some patients develop resistance to treatment, and are at risk of developing side effects. The genetic variants predispose some patients at higher risk than others. Several genes have been previously reported as up- or down regulated by the GCs actions. The genetic variations present in gene coding or regulatory regions can affect their function and ultimately determine an increased risk of developing ON associated to ALL therapy. Therefore, we investigated the association between several single nucleotide polymorphisms (SNPs) in six candidate genes: BCL2L11, NFKB1, PARP1, ABCB1, ACP1, and SHMT1. These genes play a role in the mechanisms of action of glucocorticoids, but some have more of a direct effect on the development of osteonecrosis. Our research has shown a correlation between these polymorphisms and the occurrence of osteonecrosis in patients in the QCALL cohort, treated with glucocorticoids. Cumulative incidence of osteonecrosis was assessed retrospectively in 305 children with ALL who underwent treatment with DFCI protocols (87-01, 91-01, 95-01 and 2000-01) in childhood ALL cohort from Quebec (QcALL). Among the eight tag BCL2L11 polymorphisms studied the 891T>G (rs2241843) and 29201C>T (rs724710) were significantly associated with ON (p = 0.01 and p = 0.03, respectively). Association of 891T>G polymorphism was modulated by type of corticosteroid (CS), age, sex and risk group (p ≤ 0.05 and that of 29201C>T was particularly apparent among high risk (p = 0.003) patients. These polymorphisms have shown significant ON association in several QcALL risk groups, mainly in corticosteroid groups, age < 10 years, and high risk (HR) group. Furthermore, the same study was conducted in parallel with patients in the replication (DFCI) cohort (N = 192), and we showed significant genetic association results for all studied polymorphisms. In conclusion, this study identifies that some ALL children have a high incidence of ON during the treatment that is highly associated with polymorphisms in different genes regulated by corticosteroids and ALL prognostic factors.