Introdução: O linfoma difuso de grandes células B é o mais freqüente grupo de linfoma não- Hodgkin, perfazendo quase 50% dos casos no serviço de hematologia do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo e Instituto do Câncer do Estado de São Paulo. Possui heterogeneidade clínica e biológica traduzida em mais de vinte subtipos na Organização Mundial da Saúde. Sua terapêutica se baseia na associação do anticorpo monoclonal anti-CD20 e quimioterapia com antracíclico, esquema que resulta em 43,5% de sobrevida global em 10 anos. Determinantes de prognóstico clínico como o Índice Internacional de Prognóstico e o Índice Internacional de Prognóstico Revisado carecem de acurácia, pois até 20% dos pacientes de baixo risco falecerão da doença e 60% dos pacientes de alto risco estarão vivos em quatro anos. Essas discrepâncias podem, em parte, ser atribuídas a fatores genéticos. A assinatura gênica do linfoma difuso de grandes células B tipo centro germinativo apresenta sobrevida global superior ao tipo células B ativadas (76% versus 16%, p=0,01), contudo o perfil de expressão gênica por microarray ainda não está disponível na prática clínica. Entretanto, o escore preditivo de mortalidade para linfoma difuso de grandes células B baseado no valor prognóstico da expressão dos genes BCL2, BCL6, CCND2, FN1, LMO2 e SCYA3 por PCR em tempo real quantitativa mostrou-se independente do Índice Internacional de Prognóstico na era pré-rituximabe. Mas não foi significante em pacientes de alto risco clínico tratados com R-CHOP. Os genes BCL2, CCND2 e SCYA3 integram a assinatura de células B ativadas, BCL6 e LMO2 a do centro germinativo e FN1 a linfonodal. Objetivo: Avaliar o impacto da expressão absoluta dos genes BCL2, BCL6, CCND2, FN1, LMO2 e SCYA3 em população brasileira com linfoma difuso de grandes células B tratada com R-CHOP em relação à resposta global, sobrevida livre de doença, sobrevida livre de progressão e sobrevida global. Métodos: A expressão gênica foi analisada por PCR em tempo real quantitativa de RNA extraído de amostras parafinadas de 63 pacientes, porém foi avaliável em 42. Seus valores foram normatizados pelo gene endógeno ABL e transformados em escala logarítmica na base 2 para posterior correlação com variáveis clínicas e de desfecho. Resultados: Com mediana de seguimento de 29 meses, as sobrevidas global, livre de doença e livre de progressão foram, respectivamente, 82,8%, 97,14% e 87,53%, enquanto a resposta completa foi 82,5%. A expressão de LMO2>3logs e BCL6>3,5logs definiu um grupo de maior sobrevida global (91% versus 64,3%, p=0,040) e sobrevida livre de doença (95,5% versus 70,7%, p=0,03), independentemente do Índice Internacional de Prognóstico (p=0,010 e p=0,042) e com significativa hiperexpressão do SCYA3 (p=0,046). Não se observou associação entre escore preditivo de mortalidade baseado nos seis genes e prognóstico. Assim, foi criado novo escore genético prognóstico baseado no poder da expressão concomitante de LMO2 e CCND2, definindo-se grupos de baixo risco (<2,5) e alto risco (>=2,5) com distintas sobrevidas global (92,4% versus 57,1%, p=0,011) e livre de progressão (96,2% versus 66,7%, p=0,013), independentes do IPI. Conclusão: Em pacientes com linfoma difuso de grandes células B tratados com R-CHOP, a hiperexpressão de BCL6, LMO2 e SCYA3 correlacionou-se com melhor prognóstico. O novo escore genético prognóstico definido por LMO2 e CCND2 estratificou grupos de risco de prognósticos distintos independentes do Índice Internacional de Prognóstico / Introduction: Diffuse large B-cell lymphoma is the most common type of non-Hodgkin lymphoma; which accounts for almost 50% of the cases at the Hematology Department of Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo and Instituto do Câncer do Estado de São Paulo. Its clinical and biological heterogeneity results in more than twenty subtypes according to the World Health Organization classification. Its treatment is based on a combination of anti-CD20 monoclonal antibody and antracycline-based chemotherapy, with a 10-year overall survival of 43.5%. Clinical prognostic determinants such as the International Prognostic Index and the Revised International Prognostic Index lack accuracy, since up to 20% of low-risk patients will die from the disease and up to 60% of high-risk patients will be alive within four years. Such discrepancies can partially be attributed to genetic factors. Diffuse large B-cell lymphoma germinal center gene signature shows superior overall survival compared to activated B-cell signature (76% versus 16%, p=0.01), however microarray gene expression profile is not yet available in clinical practice. Nonetheless, the Mortality Predictor Score for diffuse large B-cell lymphoma based on the prognostic value of BCL2, BCL6, CCND2, FN1, LMO2 and SCYA3 gene expression by quantitative real-time PCR has proved to be independent from the International Prognostic Index in the pre-rituximab era. But it was not significant in high clinical risk patients treated with R-CHOP. The genes BCL2, CCND2 and SCYA3 compose activated B-cell signature, whereas BCL6 and LMO2 compose the germinal center signature and FN1 the lymph-node signature. Objective: Evaluate the impact of BCL2, BCL6, CCND2, FN1, LMO2 and SCYA3 absolute gene expression in Brazilian population diagnosed with diffuse large B-cell lymphoma and treated with R-CHOP, with respect to overall response, disease free survival, progression free survival and overall survival. Methods: Gene expression was analyzed by quantitative real-time PCR of RNA extracted from paraffin-embedded samples of 63 patients, although evaluable in 42. Their values were normalized by endogenous gene ABL and log- transformed on a base 2 scale for subsequent correlation with clinical and outcome variables. Results: With a median follow-up of 29 months, overall survival, disease free survival and progression free survival accounted for 82.8%, 97.14% and 87.53% respectively, while complete response was 82.5%. The expression of LMO2>3logs and BCL6>3.5logs defined a group with higher overall survival (91% versus 64.3%, p=0.040) and progression free survival (95.5% versus 70.7%, p=0.03), independent of International Prognostic Index (p=0.010 and p=0.042) and with significant overexpression of SCYA3 (p=0.046). It was not identified any association between six gene Mortality Predictor Score and prognosis. As a result, we developed the New Genetic Prognostic Score based on the power of concomitant expression of LMO2 and CCND2, defining low-risk (<2.5) and high-risk (>=2.5) groups with distinct overall survival (92.4% versus 57.1%, p=0.011) and progression free survival (96.2% versus 66.7%, p=0.013), independent of International Prognostic Index. Conclusion: In patients with diffuse large B-cell lymphoma treated with R-CHOP, hyperexpression of BCL6, LMO2 and SCYA3 was correlated with a better prognosis. The New Genetic Prognostic Score, defined by LMO2 and CCND2, stratified risk groups with different prognosis, independent of International Prognostic Index

Introdução: O linfoma difuso de grandes células B é o mais freqüente grupo de linfoma não- Hodgkin, perfazendo quase 50% dos casos no serviço de hematologia do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo e Instituto do Câncer do Estado de São Paulo. Possui heterogeneidade clínica e biológica traduzida em mais de vinte subtipos na Organização Mundial da Saúde. Sua terapêutica se baseia na associação do anticorpo monoclonal anti-CD20 e quimioterapia com antracíclico, esquema que resulta em 43,5% de sobrevida global em 10 anos. Determinantes de prognóstico clínico como o Índice Internacional de Prognóstico e o Índice Internacional de Prognóstico Revisado carecem de acurácia, pois até 20% dos pacientes de baixo risco falecerão da doença e 60% dos pacientes de alto risco estarão vivos em quatro anos. Essas discrepâncias podem, em parte, ser atribuídas a fatores genéticos. A assinatura gênica do linfoma difuso de grandes células B tipo centro germinativo apresenta sobrevida global superior ao tipo células B ativadas (76% versus 16%, p=0,01), contudo o perfil de expressão gênica por microarray ainda não está disponível na prática clínica. Entretanto, o escore preditivo de mortalidade para linfoma difuso de grandes células B baseado no valor prognóstico da expressão dos genes BCL2, BCL6, CCND2, FN1, LMO2 e SCYA3 por PCR em tempo real quantitativa mostrou-se independente do Índice Internacional de Prognóstico na era pré-rituximabe. Mas não foi significante em pacientes de alto risco clínico tratados com R-CHOP. Os genes BCL2, CCND2 e SCYA3 integram a assinatura de células B ativadas, BCL6 e LMO2 a do centro germinativo e FN1 a linfonodal. Objetivo: Avaliar o impacto da expressão absoluta dos genes BCL2, BCL6, CCND2, FN1, LMO2 e SCYA3 em população brasileira com linfoma difuso de grandes células B tratada com R-CHOP em relação à resposta global, sobrevida livre de doença, sobrevida livre de progressão e sobrevida global. Métodos: A expressão gênica foi analisada por PCR em tempo real quantitativa de RNA extraído de amostras parafinadas de 63 pacientes, porém foi avaliável em 42. Seus valores foram normatizados pelo gene endógeno ABL e transformados em escala logarítmica na base 2 para posterior correlação com variáveis clínicas e de desfecho. Resultados: Com mediana de seguimento de 29 meses, as sobrevidas global, livre de doença e livre de progressão foram, respectivamente, 82,8%, 97,14% e 87,53%, enquanto a resposta completa foi 82,5%. A expressão de LMO2>3logs e BCL6>3,5logs definiu um grupo de maior sobrevida global (91% versus 64,3%, p=0,040) e sobrevida livre de doença (95,5% versus 70,7%, p=0,03), independentemente do Índice Internacional de Prognóstico (p=0,010 e p=0,042) e com significativa hiperexpressão do SCYA3 (p=0,046). Não se observou associação entre escore preditivo de mortalidade baseado nos seis genes e prognóstico. Assim, foi criado novo escore genético prognóstico baseado no poder da expressão concomitante de LMO2 e CCND2, definindo-se grupos de baixo risco (<2,5) e alto risco (>=2,5) com distintas sobrevidas global (92,4% versus 57,1%, p=0,011) e livre de progressão (96,2% versus 66,7%, p=0,013), independentes do IPI. Conclusão: Em pacientes com linfoma difuso de grandes células B tratados com R-CHOP, a hiperexpressão de BCL6, LMO2 e SCYA3 correlacionou-se com melhor prognóstico. O novo escore genético prognóstico definido por LMO2 e CCND2 estratificou grupos de risco de prognósticos distintos independentes do Índice Internacional de Prognóstico / Introduction: Diffuse large B-cell lymphoma is the most common type of non-Hodgkin lymphoma; which accounts for almost 50% of the cases at the Hematology Department of Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo and Instituto do Câncer do Estado de São Paulo. Its clinical and biological heterogeneity results in more than twenty subtypes according to the World Health Organization classification. Its treatment is based on a combination of anti-CD20 monoclonal antibody and antracycline-based chemotherapy, with a 10-year overall survival of 43.5%. Clinical prognostic determinants such as the International Prognostic Index and the Revised International Prognostic Index lack accuracy, since up to 20% of low-risk patients will die from the disease and up to 60% of high-risk patients will be alive within four years. Such discrepancies can partially be attributed to genetic factors. Diffuse large B-cell lymphoma germinal center gene signature shows superior overall survival compared to activated B-cell signature (76% versus 16%, p=0.01), however microarray gene expression profile is not yet available in clinical practice. Nonetheless, the Mortality Predictor Score for diffuse large B-cell lymphoma based on the prognostic value of BCL2, BCL6, CCND2, FN1, LMO2 and SCYA3 gene expression by quantitative real-time PCR has proved to be independent from the International Prognostic Index in the pre-rituximab era. But it was not significant in high clinical risk patients treated with R-CHOP. The genes BCL2, CCND2 and SCYA3 compose activated B-cell signature, whereas BCL6 and LMO2 compose the germinal center signature and FN1 the lymph-node signature. Objective: Evaluate the impact of BCL2, BCL6, CCND2, FN1, LMO2 and SCYA3 absolute gene expression in Brazilian population diagnosed with diffuse large B-cell lymphoma and treated with R-CHOP, with respect to overall response, disease free survival, progression free survival and overall survival. Methods: Gene expression was analyzed by quantitative real-time PCR of RNA extracted from paraffin-embedded samples of 63 patients, although evaluable in 42. Their values were normalized by endogenous gene ABL and log- transformed on a base 2 scale for subsequent correlation with clinical and outcome variables. Results: With a median follow-up of 29 months, overall survival, disease free survival and progression free survival accounted for 82.8%, 97.14% and 87.53% respectively, while complete response was 82.5%. The expression of LMO2>3logs and BCL6>3.5logs defined a group with higher overall survival (91% versus 64.3%, p=0.040) and progression free survival (95.5% versus 70.7%, p=0.03), independent of International Prognostic Index (p=0.010 and p=0.042) and with significant overexpression of SCYA3 (p=0.046). It was not identified any association between six gene Mortality Predictor Score and prognosis. As a result, we developed the New Genetic Prognostic Score based on the power of concomitant expression of LMO2 and CCND2, defining low-risk (<2.5) and high-risk (>=2.5) groups with distinct overall survival (92.4% versus 57.1%, p=0.011) and progression free survival (96.2% versus 66.7%, p=0.013), independent of International Prognostic Index. Conclusion: In patients with diffuse large B-cell lymphoma treated with R-CHOP, hyperexpression of BCL6, LMO2 and SCYA3 was correlated with a better prognosis. The New Genetic Prognostic Score, defined by LMO2 and CCND2, stratified risk groups with different prognosis, independent of International Prognostic Index

No description available.

L’outil génomique a considérablement modifié notre connaissance des hémopathies malignes, que ce soit sur le plan physiopathologique, diagnostique, pronostique ou thérapeutique. Dans la première partie de ce travail, nous avons travaillé sur une grande cohorte d’anémies réfractaires sidéroblastiques avec thrombocytose (ARS-T). Nous avons démontré qu’il s’agissait d’une entité indépendante, avec une présentation moléculaire particulière associant (i) des mutations de SF3B1 dans plus de 85% des cas, expliquant son versant myélodysplasique et (ii) des anomalies de JAK2 dans plus de 50% des cas, expliquant son versant prolifératif. La perspective de cette première partie est d’identifier la ou les mutation(s) responsables du caractère myéloprolifératif dans les ARS-T JAK2WT. Les lymphomes B-diffus à grandes cellules (LBDGC) représentent les lymphomes malins non-Hodgkiniens les plus fréquents chez l’adulte. Dans la deuxième partie de ce travail, nous avons réalisé l’analyse par SNP-array d’une série homogène d’échantillons issus de la cohorte CORAL, une étude prospective internationale portant sur les LBDGC en rechute. Notre objectif était d’identifier les anomalies de nombre de copies (ANC) associées à chacun des deux types de rechutes, précoces ou tardives. Les rechutes précoces sont associées à une forte proportion d’anomalies affectant les régulateurs du cycle cellulaire, de l’apoptose et de la transcription. Les rechutes tardives sont associées à des anomalies affectant les régulateurs de l’immunité et de la prolifération cellulaire. Cette étude permet de mieux comprendre les déterminants de la rechute dans les LBDGC et ouvre de nouvelles perspectives thérapeutiques / Genomics provided new insights in our knowledge of pathophysiology, diagnostic approach, prognosis and therapeutic perspectives in hematological malignancies. In the first part of this work, we studied a large cohort of Refractory Anemia with Ring sideroblasts and marked Thrombocytosis (RARS-T). We demonstrated that RARS-T can be considered as an independent entity, with a specific molecular pattern, associating : (i) SF3B1 mutations in more than 85% of cases, accounting for its myelodysplastic aspect and (ii) JAK2 mutations, accounting for its myeloproliferative aspect in more than 50% of cases. Future prospects of the first part of this work is to identify (the) mutation(s) responsible for the myeloproliferative part of JAK2WT RARS-T. Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of non-Hodgkin lymphoma in adults. In the second part of this work, we performed SNP-array analysis of a homogeneous series of samples from the CORAL cohort, an international prognostic study on relapsed DLBCLs. Our purpose was to identify Copy Number Variations (CNV) associated ER or LR. ER DLBCLs are associated with high rates of CNVs affecting regulators of cell cycle, apoptosis and transcription. In LR DLBCLs, CNVs are related to immune response and cell proliferation. This study provides new insights into the genetic aberrations in relapsed DLBCLs and open up new therapeutic perspectives

L'étude de la survie nette des patients atteints de cancer en population générale permet d'apprécier l'efficience globale du système de soin d'un pays. La survie nette se définit comme la survie qui serait observée si la seule cause de décès possible était le cancer. Ce concept est fondamental dans les comparaisons entre zones géographiques et/ou périodes de diagnostic dont l'intérêt est d'estimer les variations spécifiques de la mortalité due au cancer. Le concept de survie nette permet de prendre en compte les éventuelles différences de mortalité naturelle entre les groupes comparés. Actuellement, seuls deux outils estiment la survie nette sans biais : l'estimateur non paramétrique de Pohar-Perme et la modélisation paramétrique ajustée sur certaines covariables (essentiellement l'âge). Par ailleurs, les outils paramétriques s'étant perfectionnés, de nouveaux modèles flexibles permettent de modéliser les effets complexes des variables sur la mortalité. Ce travail repose sur la modélisation du taux de mortalité en excès à la suite d'un lymphome malin non hodgkinien, en se basant sur le modèle proposé par Remontet et al. et sur la nécessité de modéliser conjointement les effets complexes des covariables (telles que le temps de suivi, l'année de diagnostic et l'âge) sur la mortalité à l'aide d'une stratégie de modélisation adaptée. L'effet des variables est restitué sur la survie nette mais aussi sur le taux de mortalité en excès ce qui représente un élément nouveau dans les études de survie. Deux applications ont été menées sur des bases de données collaboratives de population : d'une part sur les données françaises du réseau FRANCIM à la suite d'un diagnostic de lymphome folliculaire entre 1995 et 2010 et, d'autre part, sur les données européennes d'EUROCARE-5 après un lymphome folliculaire ou un lymphome B diffus à grandes cellules diagnostiqué entre 1996 et 2004. Les résultats montrent que la dynamique du taux de mortalité en excès au cours du temps de suivi varie en fonction du sous-type de lymphome, de l'âge et de la zone géographique. Les tendances de cette dynamique en fonction de l'année de diagnostic sont également différentes / The net survival of cancer patients in population studies is the most relevant indicator to assess the overall efficiency of the healthcare system of a country. Net survival is defined as the survival that would be observed if the sole cause of death were cancer. This concept is crucial in comparative studies (between geographical areas and/or periods of diagnosis) that estimate specific variations of cancer-related deaths. Net survival takes into account potential differences in mortality patterns between groups. Currently, two methods provide unbiased estimations of net survival: the non-parametric estimator of Pohar-Perme and the parametric model adjusted on specific covariates (mainly, the age at diagnosis). Moreover, new improved parametric tools, such as flexible models, can model the complex covariate effects on mortality. In this work, we modeled the excess mortality rate after a non Hodgkin lymphoma diagnosis, with a model developed by Remontet et al. In addition, we used an appropriate model-building-strategy to model jointly the complex effects of some covariates (such as the time elapsed since diagnosis, the year of diagnosis, and age) on the excess mortality. Finally, this approach allowed for the covariate effects on the net survival and on the excess mortality rate. We applied this method to two different collaborative databases: first on the French database FRANCIM (1995 to 2010) to study the excess mortality after diagnosis of follicular lymphoma, then on the European data of EUROCARE-5 (1996 to 2004) to study the excess mortality after diagnosis of follicular lymphoma and diffuse large B-cell lymphoma. According to the results, the dynamics of the excess mortality rate varies over the time elapsed since diagnosis according to the lymphoma subtype, the age, and the geographical area. The trends of these dynamics over the years of diagnosis are different too

Para avaliar a influência dos polimorfismos de nucleotídeo único (SNPs) do CYP2B6, CYP3A5, GSTM1, GSTP1, GSTT1, PON1, NQO1 e MDR1 na resposta ao tratamento com R-CHOP e CHOP, 82 pacientes com Linfoma Difuso de Grandes Células B, sem evidências de infecção por HIV, foram selecionados nesse estudo. Amostras de sangue periférico foram coletadas para extração de DNA. Os SNPs foram analisados por PCR-RFLP. Em relação aos pacientes que apresentaram resposta completa (RC) ao tratamento (70%), 51% foram tratados com R-CHOP. Sobre o tratamento, 50% dos pacientes com RC apresentaram classificação de ECOG 0-1 (p=0,0193) e a maioria desses pacientes (41%) não apresentaram envolvimento extranodal (p=0,0377). Não houve associação entre os SNPs do CYP2B6, CYP3A5, GSTT1, NQO1 e MDR1 (C3435T) e as variáveis estudadas. Apenas CYP3A5 (sexo p=0,0519), GSTM1 (idade p=0,016; tratamento p=0,0372), GSTP1 (envolvimento extranodal p=0,0307), PON1 (sintomas B p=0,0201; Bulky p=0,0148) e MDR1 C1236T (sexo p=0,0316) mostraram associação. Em relação à sobrevida global, apenas tratamento (p=0,0129), IPI (p=0,000342), idade (p=0,0155), estadiamento (p=0,00281) e ECOG (p=0,00869) apresentaram resultados significantes. Quanto à sobrevida livre de doença (SLD), apenas idade (p=0,0292), estadiamento (p=0,0402) e ECOG (p=0,0142) apresentaram resultados significantes / To evaluated the influence of single nucleotide polymorphisms (SNPs) of CYP2B6, CYP3A5, GSTM1, GSTP1, GSTT1, PON1, NQO1 and MDR1 in the treatment response with R-CHOP and CHOP, 82 patients with Diffuse Large B-cell Lymphoma, without evidence of HIV infection, were enrolled in this study. Peripheral blood samples were collected for DNA extraction. The SNPs were analyzed by PCR-RFLP. In relation the patients that showed complete response (CR) to the treatment (70%), 51% were treated with R-CHOP. About the treatment, 50% of the patients with CR showed ECOG classification of 0-1 and the most of these patients (41%) did not showed extranodal involvement (p=0,0377). There was no association between CYP2B6, CYP3A5, GSTT1, NQO1 and MDR1 (C3435T) SNPs and the variables studied. Only CYP3A5 (gender p=0,0519), GSTM1 (age p=0,016; treatment p=0,0372), GSTP1 (extranodal involvement p=0,0307), PON1 (B symptoms p=0,0201; Bulky p=0,0148) e MDR1 C1236T (gender p=0,0316) showed association. In relation to overall survival, only treatment (p=0,0129), IPI (p=0,000342), age (p=0,0155), stadiament (p=0,00281) and ECOG (p=0,00869) showed significant results. To disease-free survival, only age (p=0,0292), stadiament (p=0,0402) e ECOG (p=0,0142) showed significant results

<p>Patients with rheumatoid arthritis (RA) are at increased risk of developing malignant lymphoma, although details about this association remain unclear. The aims of this thesis were to investigate risk factors for lymphoma in patients with RA and to characterize these lymphomas regarding subtype, presence of Epstein-Barr virus (EBV), clinical manifestations and prognosis. </p><p>The Swedish hospital discharge register and the cancer register were used to identify RA patients with lymphoma. Two case-control studies were performed, one smaller including RA patients with lymphoma hospitalised in Uppsala health care region 1964-1983 (n=41) and one larger study of hospitalised RA patients with lymphoma in Sweden 1964-1995 (n=378). RA patients from the same cohorts, but without lymphoma, were matched as controls. Medical records for cases and controls were scrutinized for exposure information. The lymphoma tissues were reclassified according to the WHO classification, and presence of EBV was analysed by EBER in situ hybridisation.</p><p>The most important risk factor for lymphoma development was high RA disease activity. No association was determined between treatment with traditional disease modifying drugs, non-steroidal anti-inflammatory drugs, aspirin, peroral and intra-articular corticosteroids and lymphoma risk. Diffuse large B-cell lymphoma (DLBCL) was more frequent in RA patients than in lymphoma patients in the general population and displayed stronger association with RA disease activity than other lymphoma subtypes. RA patients with DLBCL had increased extranodal involvement and more advanced lymphoma stage at presentation than DLBCL patients in general, and the prognosis was poor. </p><p>A further subdivision of DLBCL into germinal centre (GC) and non-GC subtypes by the expression patterns of CD10, bcl-6 and IRF-4 showed a predominance of the non-GC subtype. This suggested peripheral activated B-cells as the cells of origin in these lymphomas. </p><p>The presence of EBV was low in lymphomas in RA patients (12%). </p>

The presence of TP53 mutations has been associated with inferior outcome in diffuse large B-cell lymphoma (DLBCL) and chronic lymphocytic leukemia (CLL). In DLBCL, the impact of the TP53 codon 72 polymorphism and MDM2 SNP309 has not been clearly elucidated, whereas MDM2 SNP309 was suggested as a poor-prognostic marker in CLL. In addition, p16INK4a promoter hypermethylation has been implicated as a negative prognostic factor in DLBCL. The aim of this thesis was to further evaluate these molecular markers in well-characterised materials of DLBCL and CLL. In paper I, we investigated the prognostic role of TP53 mutation, codon 72 polymorphism and MDM2 SNP309 in DLBCL (n=102). The presence of TP53 mutations (12.7%) correlated with a poor lymphoma-specific and progression-free survival, and a particularly pronounced effect was observed in the germinal center subtype. Neither the MDM2 SNP309 nor the TP53 codon 72 polymorphism had an impact on age of onset or survival. In paper II, we applied pyrosequencing to measure the level of p16INK4a methylation in DLBCL (n=113). Thirty-seven percent of cases displayed p16INK4a methylation; however, no clear association could be observed between degree of methylation and clinical characteristics or lymphoma-specific survival. In papers III–IV, we investigated the prognostic role of MDM2 SNP309 (n=418) and TP53 mutation (n=268) in CLL. No correlation was observed between any particular MDM2 SNP309 genotype and time to treatment and overall survival. Furthermore, no association was found between the different MDM2 SNP309 genotypes and established CLL prognostic markers. TP53 mutations were detected in 3.7% of CLL patients; where the majority showed a concomitant 17p-deletion and only three carried TP53 mutations without 17p-deletion. We confirmed a significantly shorter overall survival and time to treatment in patients with both TP53 mutation and 17p-deletion. Altogether, our studies could confirm the negative prognostic impact of TP53 mutations in DLBCL, whereas MDM2 SNP309 and TP53 codon 72 polymorphisms appear to lack clinical relevance. We also question the role of p16INKa methylation as a poor-prognostic factor in DLBCL. Finally, the presence of TP53 mutation in CLL appears to be rare at disease onset and instead arise during disease progression.

Patients with rheumatoid arthritis (RA) are at increased risk of developing malignant lymphoma, although details about this association remain unclear. The aims of this thesis were to investigate risk factors for lymphoma in patients with RA and to characterize these lymphomas regarding subtype, presence of Epstein-Barr virus (EBV), clinical manifestations and prognosis. The Swedish hospital discharge register and the cancer register were used to identify RA patients with lymphoma. Two case-control studies were performed, one smaller including RA patients with lymphoma hospitalised in Uppsala health care region 1964-1983 (n=41) and one larger study of hospitalised RA patients with lymphoma in Sweden 1964-1995 (n=378). RA patients from the same cohorts, but without lymphoma, were matched as controls. Medical records for cases and controls were scrutinized for exposure information. The lymphoma tissues were reclassified according to the WHO classification, and presence of EBV was analysed by EBER in situ hybridisation. The most important risk factor for lymphoma development was high RA disease activity. No association was determined between treatment with traditional disease modifying drugs, non-steroidal anti-inflammatory drugs, aspirin, peroral and intra-articular corticosteroids and lymphoma risk. Diffuse large B-cell lymphoma (DLBCL) was more frequent in RA patients than in lymphoma patients in the general population and displayed stronger association with RA disease activity than other lymphoma subtypes. RA patients with DLBCL had increased extranodal involvement and more advanced lymphoma stage at presentation than DLBCL patients in general, and the prognosis was poor. A further subdivision of DLBCL into germinal centre (GC) and non-GC subtypes by the expression patterns of CD10, bcl-6 and IRF-4 showed a predominance of the non-GC subtype. This suggested peripheral activated B-cells as the cells of origin in these lymphomas. The presence of EBV was low in lymphomas in RA patients (12%).

No description available.