Results 151 to 160 of about 617,302 (345)
ABSTRACT Disease Overview Primary cutaneous lymphomas are a rare and heterogeneous group of extranodal lymphomas that require the integration of clinical and histopathologic data for classification and treatment. Diagnosis Diagnosis and disease classification is based on histopathologic review and immunohistochemical staining of an appropriate skin ...
Alexandra C. Hristov+2 more
wiley +1 more source
Plastic Surgery of the Nose. Including Reconstruction of War Injuries and of Deformities from Neoplastic, Traumatic, Radiation, Congenital, and other Causes [PDF]
NULL AUTHOR_ID
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ABSTRACT Nodal follicular helper T‐cell (TFH) lymphoma of the angioimmunoblastic (AITL) subtype has a dismal prognosis. Using whole‐exome sequencing (n = 124), transcriptomic (n = 78), and methylation (n = 40) analysis, we identified recurrent mutations in known epigenetic drivers (TET2, DNMT3A, IDH2R172) and novel ones (TET3, KMT2D).
Alyssa Bouska+43 more
wiley +1 more source
Treatment of neoplastic diseases with an improved oral preparation of vinblastine sulfate [PDF]
Willam H. Bond+3 more
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ABSTRACT Idiopathic multicentric Castleman disease (iMCD) is a rare lymphoproliferative disorder classified into three recognized clinical subtypes—idiopathic plasmacytic lymphadenopathy (IPL), TAFRO, and NOS. Although clinical criteria are available for subtyping, diagnostically challenging cases with overlapping histopathological features highlight ...
Midori Filiz Nishimura+14 more
wiley +1 more source
Association Between Moraxella catarrhalis and Nodular Lymphocyte‐Predominant Hodgkin Lymphoma
ABSTRACT Nodular lymphocyte‐predominant Hodgkin Lymphoma (NLPHL) may be an antigen‐driven malignancy. Recent studies demonstrated that in NLPHL patients, lymphoma B‐cell receptor can bind proteins derived from Moraxella catarrhalis (MC) and Rothia mucilaginosa (RM). We examined whether MC and RM can be detected in NLPHL lymph nodes.
Izidore S. Lossos+7 more
wiley +1 more source
Use of a hybrid intelligence decision tree to identify mature B‐cell neoplasms
Abstract Background Mature B‐cell neoplasms are challenging to diagnose due to their heterogeneity and overlapping clinical and biological features. In this study, we present a new workflow strategy that leverages a large amount of flow cytometry data and an artificial intelligence approach to classify these neoplasms. Methods By combining mathematical
Inès Vergnolle+4 more
wiley +1 more source
Vitamin A and the biosynthesis of sulphated mucopolysaccharides. Experiments with rats and cultured neoplastic mast cells [PDF]
D. B. Thomas, C. A. Pasternak
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