Prognostic molecular factors and algorithms in diffuse large B-cell lymphoma

Diffuse large B-cell lymphoma (DLBCL) is the most common of the non-Hodgkin lymphomas. As DLBCL is characterized by heterogeneous clinical and biological features, its prognosis varies. To date, the International Prognostic Index has been the strongest predictor of outcome for DLBCL patients. However, no biological characters of the disease are taken into account. Gene expression profiling studies have identified two major cell-of-origin phenotypes in DLBCL with different prognoses, the favourable germinal centre B-cell-like (GCB) and the unfavourable activated B-cell-like (ABC) phenotypes. However, results of the prognostic impact of the immunohistochemically defined GCB and non-GCB distinction are controversial. Furthermore, since the addition of the CD20 antibody rituximab to chemotherapy has been established as the standard treatment of DLBCL, all molecular markers need to be evaluated in the post-rituximab era. In this study, we aimed to evaluate the predictive value of immunohistochemically defined cell-of-origin classification in DLBCL patients. The GCB and non-GCB phenotypes were defined according to the Hans algorithm (CD10, BCL6 and MUM1/IRF4) among 90 immunochemotherapy- and 104 chemotherapy-treated DLBCL patients. In the chemotherapy group, we observed a significant difference in survival between GCB and non-GCB patients, with a good and a poor prognosis, respectively. However, in the rituximab group, no prognostic value of the GCB phenotype was observed. Likewise, among 29 high-risk de novo DLBCL patients receiving high-dose chemotherapy and autologous stem cell transplantation, the survival of non-GCB patients was improved, but no difference in outcome was seen between GCB and non-GCB subgroups. Since the results suggested that the Hans algorithm was not applicable in immunochemotherapy-treated DLBCL patients, we aimed to further focus on algorithms based on ABC markers. We examined the modified activated B-cell-like algorithm based (MUM1/IRF4 and FOXP1), as well as a previously reported Muris algorithm (BCL2, CD10 and MUM1/IRF4) among 88 DLBCL patients uniformly treated with immunochemotherapy. Both algorithms distinguished the unfavourable ABC-like subgroup with a significantly inferior failure-free survival relative to the GCB-like DLBCL patients. Similarly, the results of the individual predictive molecular markers transcription factor FOXP1 and anti-apoptotic protein BCL2 have been inconsistent and should be assessed in immunochemotherapy-treated DLBCL patients. The markers were evaluated in a cohort of 117 patients treated with rituximab and chemotherapy. FOXP1 expression could not distinguish between patients, with favourable and those with poor outcomes. In contrast, BCL2-negative DLBCL patients had significantly superior survival relative to BCL2-positive patients. Our results indicate that the immunohistochemically defined cell-of-origin classification in DLBCL has a prognostic impact in the immunochemotherapy era, when the identifying algorithms are based on ABC-associated markers. We also propose that BCL2 negativity is predictive of a favourable outcome. Further investigational efforts are, however, warranted to identify the molecular features of DLBCL that could enable individualized cancer therapy in routine patient care.

Trust and Collectives

"Trust and Collectives" is a compilation of articles: (I) "On Rational Trust" (in Meggle, G. (ed.) Social Facts & Collective Intentionality, Dr. Hänsel-Hohenhausen AG (currently Ontos), 2002), (II) "Simulating Rational Social Normative Trust, Predictive Trust, and Predictive Reliance Between Agents" (M.Tuomela and S. Hofmann, Ethics and Information Technology 5, 2003), (III) "A Collective's Trust in a Collective's action" (Protosociology, 18-19, 2003), and (IV) "Cooperation and Trust in Group Contexts" (R. Tuomela and M.Tuomela, Mind and Society 4/1, 2005 ). The articles are tied together by an introduction that dwells deeply on the topic of trust. (I) presents a somewhat general version of (RSNTR) and some basic arguments. (II) offers an application of (RSNTR) for a computer simulation of trust.(III) applies (RSNTR) to Raimo Tuomela's "we-mode"collectives (i.e. The Philosophy of Social Practices, Cambridge University Press, 2002). (IV) analyzes cooperation and trust in the context of acting as a member of a collective. Thus, (IV) elaborates on the topic of collective agency in (III) and puts the trust account (RSNTR) to work in a framework of cooperation. The central aim of this work is to construct a well-argued conceptual and theoretical account of rational trust, viz. a person's subjectively rational trust in another person vis-à-vis his performance of an action, seen from a first-person point of view. The main method is conceptual and theoretical analysis understood along the lines of reflective equilibrium. The account of rational social normative trust (RSNTR), which is argued and defended against other views, is the result of the quest. The introduction stands on its own legs as an argued presentation of an analysis of the concept of rational trust and an analysis of trust itself (RSNTR). It is claimed that (RSNTR) is "genuine" trust and embedded in a relationship of mutual respect for the rights of the other party. This relationship is the growing site for trust, a causal and conceptual ground, but it is not taken as a reason for trusting (viz. predictive "trust"). Relevant themes such as risk, decision, rationality, control, and cooperation are discussed and the topics of the articles are briefly presented. In this work it is argued that genuine trust is to be kept apart from predictive "trust." When we trust a person vis-à-vis his future action that concerns ourselves on the basis of his personal traits and/or features of the specific situation we have a prediction-like attitude. Genuine trust develops in a relationship of mutual respect for the mutual rights of the other party. Such a relationship is formed through interaction where the parties gradually find harmony concerning "the rules of the game." The trust account stands as a contribution to philosophical research on central social notions and it could be used as a theoretical model in social psychology, economical and political science where interaction between persons and groups are in focus. The analysis could also serve as a model for a trust component in computer simulation of human action. In the context of everyday life the account clarifies the difference between predictive "trust" and genuine trust. There are no fast shortcuts to trust. Experiences of mutual respect for mutual rights cannot be had unless there is respect.

Acta Societatis pro fauna et flora Fennica

Kielet saksa ja ruotsi. Nimiösivulla teksti Helsingforsiae 1924-29.

Integrative functional genomics analysis of sustained polyploidy phenotypes in breast cancer cells identifies an oncogenic profile for GINS2

Aneuploidy is among the most obvious differences between normal and cancer cells. However, mechanisms contributing to development and maintenance of aneuploid cell growth are diverse and incompletely understood. Functional genomics analyses have shown that aneuploidy in cancer cells is correlated with diffuse gene expression signatures and that aneuploidy can arise by a variety of mechanisms, including cytokinesis failures, DNA endoreplication and possibly through polyploid intermediate states. Here, we used a novel cell spot microarray technique to identify genes with a loss-of-function effect inducing polyploidy and/or allowing maintenance of polyploid cell growth of breast cancer cells. Integrative genomics profiling of candidate genes highlighted GINS2 as a potential oncogene frequently overexpressed in clinical breast cancers as well as in several other cancer types. Multivariate analysis indicated GINS2 to be an independent prognostic factor for breast cancer outcome (p = 0.001). Suppression of GINS2 expression effectively inhibited breast cancer cell growth and induced polyploidy. In addition, protein level detection of nuclear GINS2 accurately distinguished actively proliferating cancer cells suggesting potential use as an operational biomarker.