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High-Sensitive TRBC1-Based Flow Cytometric Assessment of T-Cell Clonality in Tαβ-Large Granular Lymphocytic Leukemia.

Noemí Muñoz-GarcíaF Javier Morán-PlataNeus VillamorMargarida LimaSusana BarrenaSheila MateosCarolina CaldasJacques J M van DongenAlberto OrfaoJulia Almeida
Published in: Cancers (2022)
Flow cytometric (FCM) analysis of the constant region 1 of the T-cell receptor β chain (TRBC1) expression for assessing Tαβ-cell clonality has been recently validated. However, its utility for the diagnosis of clonality of T-large granular lymphocytic leukemia (T-LGLL) needs to be confirmed, since more mature Tαβ cells (i.e., T-LGL normal-counterpart) show broader TRBC1 + /TRBC1 - ratios vs. total Tαβ cells. We compared the distribution and absolute counts of TRBC1 + and TRBC1 - Tαβ-LGL in blood containing polyclonal ( n = 25) vs. clonal ( n = 29) LGL. Overall, polyclonal TRBC1 + or TRBC1 - Tαβ-LGL ranged between 0.36 and 571 cells/μL (3.2-91% TRBC1 + cells), whereas the clonal LGL cases showed between 51 and 11,678 cells/μL (<0.9% or >96% TRBC1 + cells). Among the distinct TCRVβ families, the CD28 - effector-memory and terminal-effector polyclonal Tαβ cells ranged between 0 and 25 TRBC1 + or TRBC1 - cells/μL and between 0 and 100% TRBC1 + cells, while clonal LGL ranged between 32 and 5515 TRBC1 + or TRBC1 - cells/μL, representing <1.6% or >98% TRBC1 + cells. Our data support the utility of the TRBC1-FCM assay for detecting T-cell clonality in expansions of Tαβ-LGL suspected of T-LGLL based on altered percentages of TRBC1 + Tαβ cells. However, in the absence of lymphocytosis or in the case of TαβCD4-LGL expansion, the detection of increased absolute cell counts by the TRBC1-FCM assay for more accurately defined subpopulations of Tαβ-LGL-expressing individual TCRVβ families, allows the detection of T-cell clonality, even in the absence of phenotypic aberrations.
Keyphrases
  • induced apoptosis
  • cell cycle arrest
  • endoplasmic reticulum stress
  • healthcare
  • gene expression
  • dendritic cells
  • bone marrow
  • machine learning
  • immune response
  • long non coding rna
  • binding protein