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Updated: Jul 23, 2026

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning
Published on: November 19, 2018
Phenotypic characterization of subsets of T cell lymphoma: towards a functional classification of T cell lymphoma
1Department of Pathology at University of Texas-MD Anderson Cancer Center, Houston, USA.
Abstract:
T cell non-Hodgkin's lymphomas (T-NHL) have traditionally been classified according to a variety of criteria including histological and clinical features, sites of involvement and etiologic agents. Except in select T-NHL types (e.g. CD30-positive anaplastic large cell lymphoma (ALCL)), immunophenotypic criteria are not used for routine subclassification of T-NHL. In this article. we outline the current models for classification and diagnosis of T cell tumors. We also briefly review the current understanding of non-neoplastic T cell subsets with regards to expression of activation markers belonging to the tumor necrosis factor receptor (TNFR) gene family. We summarize the currently available information on expression of these subset markers in T cell tumors, focusing on TNFR family members CD30 and CD134/OX40. CD134/OX40 expression is characteristic of certain entities (angioimmunoblastic lymphoma, angiocentric T-NHL) and a subset of T-NHLs of unspecified type, whereas CD30 expression is characteristic of ALCL and a largely non-overlapping subset of T-NHLs of unspecified type. Immunophenotypic stratification of T-NHL, using TNFR family members and other T cell subset-specific gene products, may provide a functional model for T-NHL classification as is currently the case for B cell tumors.
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