Diffuse large B-cell lymphoma (DLBCL) is the most common type of non-Hodgkin lymphoma. It is a molecular and prognostic heterogeneous disease. Three main genetic subtypes are called germinal center-like DLBCL (GC-like DLBCL), non-germinal center-like DLBCL (nonGC-like DLBCL) and primary mediastinal B-cell lymphoma (PMBL). These subtypes can be reliably distinguished only with usage of gene expression profiling (GEP). The GEP method can be applied only when fresh frozen tissue is available. The method is technically difficult and expensive. Thus, it is not used routinely. Since the DLBCL subtypes differ in prognosis, it is extremely important to be able to distinguish them. The presented thesis is focused on distinguishing of PMBL diagnosis in the group of DLBCL. Easily stored formalin-fixed, paraffin-embedded tissue (FFPE) and gene expression analysis using real-time quantitative polymerase chain reaction (RTqPCR) are used. In the first step, PMBL and DLBCL cases were distinguished with an internationally accepted clinical-pathological method. The agreement between clinical-pathological diagnosis and GEP is only 76%. In the presented text a genetic algorithm for PMBL/DLBCL distinguishing is suggested. It uses three carefully chosen genes and their expression is measured with RTqPCR. Both, the...

INTRODUÇÃO: O linfoma difuso de grandes células B, sem outras especificaçoes (LDGCB, SOE) é uma neoplasia agressiva caracterizada pela heterogeneidade morfológica, imunofenotípica e molecular, porém o atual tratamento padrão utilizando imunoquimioterapia (R-CHOP) não considera tal diversidade. Há percentual significativo de pacientes que são refratários à terapia de primeira linha e alguns que apresentam recidiva precoce ou tardia, os quais representam as vítimas desta doença. O estudo imuno-histoquímico (IHQ), que é um método simples e universalmente disponível, vem sendo utilizado para reconhecer a diversidade biológica do LDGCB, SOE, identificando biomarcadores e subgrupos distintos da doença, que poderiam predizer a resposta terapêutica ao tratamento padrão e apontar possíveis candidatos a novas estratégias terapêuticas. OBJETIVOS: Este estudo avalia o valor prognóstico de cinco algoritmos para classificação do LDGCB segundo a célula de origem (COO) e da expressão de três biomarcadores (BCL2, CD30 e MYC) tendo como endpoint a sobrevida global. MÉTODOS: Foi realizado estudo retrospectivo com setenta e nove pacientes com LDGCB,SOE de novo tratados com imunoquimioterapia padrão, estadiados e acompanhados protocolarmente. Os casos foram classificados como subgrupo célula B centrogerminativa símile (GCB) ou como subgrupo célula B não-centrogerminativa símile (NGCB), de acordo com três algoritmos IHQ (Hans, Choi, e Visco-Young) pareados com estudo do perfil de expressão gênica (PEG) e dois algoritmos IHQ não-PEG pareados (Muris e Nyman). Foi estimado o valor prognóstico destes algoritmos e também avaliado a concordância entre eles. O valor prognóstico da expressão do BCL2, CD30 e MYC utilizando IHQ também foi analisado. RESULTADOS: Os algoritmos IHQ PEG pareados revelaram maior concordância entre si, porém nenhum deles revelou força prognóstica. A expressão do CD30 mostrou tendência a melhor prognóstico, porém a expressão de BCL2 e MYC avaliados isoladamente não revelaram impacto prognóstico. Contudo, a coexpressão do BCL2 e MYC, denominado como fenótipo linfoma duplo-expressor (LDE), revelou-se importante marcador prognóstico desfavorável. Foram identificados três subgrupos de risco baseado no fenótipo LDE e o Índice Prognóstico Internacional (IPI). CONCLUSÃO: Em pacientes com LDGCB, SOE de novo tratados com esquema terapêutico padrão, a pesquisa da expressão do fenótipo LDE é mais relevante do ponto vista prognóstico que a classificação em subgrupo GCB ou NGCB. Além disso, a expressão do CD30 pode ser relevante tanto para identificar subgrupo com tendência a melhor prognóstico como para identificar possíveis candidatos a nova terapia alvo / BACKGROUND: Diffuse large B-cell lymphoma, not otherwise specified (DLBCL, NOS) is an aggressive neoplasm characterized by morphological, phenotypic and molecular heterogeneity, but the current standard therapy using immunochemotherapy (R-CHOP) does not consider such diversity. There is a significant percentage of patients who are refractory to first-line therapy and those with early or late recurrence, whose represent the victims of this disease. Immunohistochemistry (IHC), a simple and universally available method, has been used to recognize the biological diversity of DLBCL, NOS, to identify biomarkers and distinct subgroups of the disease, which would predict the therapeutic response to standard treatment and point possible candidates for novel therapeutic strategies. OBJECTIVES: The current study was conducted to evaluate the prognostic value from five algorithms for classification of DLBCL based on cell of origin (COO) and the expression of three biomarkers (BCL2, CD30 and MYC) with overall survival (OS) as an endpoint. METHODS: We retrospectively evaluated seventy nine patients with de novo DLBCL, NOS treated with R-CHOP-like immunochemotherapy. The cases were assigned as germinal center B-cell like (GCB) or non-GCB subgroup (NGCB) according to five different IHC algorithms, including three algorithms based on gene expressing profile study (GEP), proposed by Hans, Choi, and Visco-Young, and two non-GEP based algoritms proposed by Muris, and Nyman. We evaluated their prognostic relevance and the concordance between these algorithms. The prognostic power of BCL2, CD30 and MYC expression were also assessed by IHC. RESULTS: None of the profiles assessed by IHC algorithms was able to predict overall survival (OS). The positive expression of CD30 showed a trend toward a better outcome. Neither the positive expression of BCL2 nor the positive expression of MYC were associated with outcome. However, the double-expressor lymphoma phenotype (DEL), represented by the concurrent expression of MYC and BCL2, exhibited a negative prognostic impact. Three different risk subgroups were identified based on the DEL phenotype and the International Prognostic Index (IPI) score. CONCLUSIONS: These data suggest that the DEL, rather than the cell of origin classification based on IHC, is a better predictor of OS in patients with DLBCL treated with R-CHOP-like immunochemotherapy. Besides, the CD30 expression may be a useful prognostic marker and a possible therapeutic target

En France, les hémopathies lymphoïdes, se situant au sixième rang des cancers les plus fréquents, sontun problème majeur de santé publique. Ce travail a pour objectif d’étudier l’impact de la prise en charge thérapeutiquesur la survie et sur la qualité de vie (QdV) des patients atteints de ce type d’hémopathies. Le premierobjectif de ce travail est un état des lieux de l’épidémiologie des hémopathies lymphoïdes avec l’étudede l’évolution de l’incidence et de la survie nette en Côte d’Or entre 1980 et 2009. L’incidence, en nette augmentationdepuis 1980, semble se stabiliser depuis les années 2000 pour certaines entités, notamment pourles lymphomes folliculaires (LF) et les lymphomes B diffus à grandes cellules (LBDGC). Nous observons globalementune amélioration de la survie nette avec, toutefois, un pronostic à court et à long terme qui restedéfavorable pour certaines entités. Les LF et les LBDGC sont les premiers lymphomes à bénéficier de l’introductiondes anticorps monoclonaux dans leur prise en charge thérapeutique. Notre deuxième étude a pourobjectif demesurer l’impact du rituximab sur la survie globale des patients atteints d’un LF ou d’un LBDGC enCôte d’Or en utilisant une méthodologie basée sur le score de propension. Nos résultats confirment le bénéficesignificatif du rituximab sur la survie globale en population générale, sans critère de sélection. En vue de cesrésultats, nous avons étudié la QdV de ces patients pendant et à la suite de la prise en charge thérapeutique. LaQdV évolue différemment au cours du suivi en fonction du type de lymphome. / In France, hematologic malignancies, which are the sixthmost common cancers, are amajor public healthproblem. This work aimed to study the impact of the therapeutic management on survival and healt-relatedquality of life (HRQoL) in patients with these hematologic malignancies. The first objective of this work is topresent an overview of the epidemiology of lymphoid malignancies with a study of changes in the incidenceand net survival in the Côte d’Or department between 1980 and 2009. The incidence, which has increased since1980, seems to have stabilized since the 2000s for some entities, including follicular lymphoma (FL) and diffuselarge B-cell lymphoma (DLBCL). Overall, we observed an improvement in net survival, with, however, a lessfavorable prognosis in the short and long-term for some entities. FL and DLBCL were the first lymphomas tobenefit from the introduction of monoclonal antibodies in their therapeutic management. Our second studyaimed to assess the impact of rituximab on overall survival in patients with FL or DLBCL in the Côte d’Or departmentusing a methodology based on the propensity score. Our results confirmed the significant benefit ofrituximab on overall survival in an unselected population of patients. In view of these results, we studied theHRQoL of these patients during and after treatment. HRQoL evolved differently during follow-up dependingon the type of lymphoma.

Diffuse large B-cell lymphoma (DLBCL) is the most common type of non-Hodgkin lymphoma. It is a molecular and prognostic heterogeneous disease. Three main genetic subtypes are called germinal center-like DLBCL (GC-like DLBCL), non-germinal center-like DLBCL (nonGC-like DLBCL) and primary mediastinal B-cell lymphoma (PMBL). These subtypes can be reliably distinguished only with usage of gene expression profiling (GEP). The GEP method can be applied only when fresh frozen tissue is available. The method is technically difficult and expensive. Thus, it is not used routinely. Since the DLBCL subtypes differ in prognosis, it is extremely important to be able to distinguish them. The presented thesis is focused on distinguishing of PMBL diagnosis in the group of DLBCL. Easily stored formalin-fixed, paraffin-embedded tissue (FFPE) and gene expression analysis using real-time quantitative polymerase chain reaction (RTqPCR) are used. In the first step, PMBL and DLBCL cases were distinguished with an internationally accepted clinical-pathological method. The agreement between clinical-pathological diagnosis and GEP is only 76%. In the presented text a genetic algorithm for PMBL/DLBCL distinguishing is suggested. It uses three carefully chosen genes and their expression is measured with RTqPCR. Both, the...