Abstract
A single antibody (anti-TRBC1; JOVI-1 antibody clone) against one of the two mutually exclusive T-cell receptor β-chain constant domains was identified as a potentially useful flow-cy-tometry (FCM) marker to assess Tαβ-cell clonality. We optimized the TRBC1-FCM approach for detecting clonal Tαβ-cells and validated the method in 211 normal, reactive and pathological sam-ples. TRBC1 labeling significantly improved in the presence of CD3. Purified TRBC1+ and TRBC1− monoclonal and polyclonal Tαβ-cells rearranged TRBJ1 in 44/47 (94%) and TRBJ1+TRBJ2 in 48 of 48 (100%) populations, respectively, which confirmed the high specificity of this assay. Additionally, TRBC1+/TRBC1− ratios within different Tαβ-cell subsets are provided as reference for polyclonal cells, among which a bimodal pattern of TRBC1-expression profile was found for all TCRVβ fami-lies, whereas highly-variable TRBC1+/TRBC1− ratios were observed in more mature vs. naïve Tαβ-cell subsets (vs. total T-cells). In 112/117 (96%) samples containing clonal Tαβ-cells in which the approach was validated, monotypic expression of TRBC1 was confirmed. Dilutional experiments showed a level of detection for detecting clonal Tαβ-cells of ≤10−4 in seven out of eight pathological samples. These results support implementation of the optimized TRBC1-FCM approach as a fast, specific and accurate method for assessing T-cell clonality in diagnostic-FCM panels, and for minimal (residual) disease detection in mature Tαβ+ leukemia/lymphoma patients.
| Original language | English |
|---|---|
| Article number | 4379 |
| Journal | Cancers |
| Volume | 13 |
| Issue number | 17 |
| DOIs | |
| Publication status | Published - 30 Aug 2021 |
Bibliographical note
Funding Information:Funding: This work was supported by the CB16/12/00400 (CIBERONC) and PI20-01346 grants, from the Instituto de Salud Carlos III, Ministerio de Ciencia e Innovación (Madrid, Spain) and FONDOS FEDER, and by the EuroFlow Foundation (Leiden, The Netherlands). N. Muñoz-García is supported by a pre-doctoral grant (Ref. IBPredoc17/00012) from IBSAL (Salamanca, Spain). M. Lima, N. Vil-lamor, A.W. Langerak, J.J.M. van Dongen, A. Orfao, and J. Almeida are members of the EuroFlow Consortium [29].
Funding Information:
This work was supported by the CB16/12/00400 (CIBERONC) and PI20-01346 grants, from the Instituto de Salud Carlos III, Ministerio de Ciencia e Innovaci?n (Madrid, Spain) and FONDOS FEDER, and by the EuroFlow Foundation (Leiden, The Netherlands). N. Mu?oz-Garc?a is supported by a pre-doctoral grant (Ref. IBPredoc17/00012) from IBSAL (Salamanca, Spain). M. Lima, N. Vil-lamor, A.W. Langerak, J.J.M. van Dongen, A. Orfao, and J. Almeida are members of the EuroFlow Consortium [29].
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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