ReviewDer Pathologe2013
[B-cell neoplasms with plasmacellular and plasmablastic differentiation].
Review in Der Pathologe, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
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Authors and funding
2 authors.
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Abstract
Plasma cell malignancies are tumors of terminally differentiated B-cells in which the neoplastic plasma cells are the dominant and proliferating tumor cell component. Plasma cell myeloma (PCM) is one of the most common hematological neoplasms and typically does not cause diagnostic problems. A morphologically and immunophenotypically detectable plasmacellular orplasmablastic differentiation is, however, commonly observed in a wide range of mature B-cell lymphomas. A confident separation of the distinct entities requires the integration of clinical and morphological findings as well as an adequate phenotyping of both the plasma cell and the B-cell component if present. Detection of lymphotropic viruses, specific translocations and novel molecular markers, such as the MYD88 L265P mutation occurring in the vast majority of lymphoplasmacytic lymphomas complement our diagnostic repertoire. In this review we describe the most commonly observed diagnostic problems in separating small B-cell lymphomas from PCM and high-grade B-cell non-Hodgkin lymphoma (B-NHL) with plasmablastic differentiation from extramedullary spread of aggressive PCM and provide helpful criteria for routine diagnostics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.