2022
DOI: 10.21203/rs.3.rs-1475171/v1
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Structure-Guided Engineering of Immunotherapies Targeting TRBC1 and TRBC2 in T Cell Malignancies

Abstract: Peripheral T cell lymphomas are typically aggressive with a poor prognosis. Unlike other hematologic malignancies, the lack of target antigens to discriminate healthy from malignant cells has limited the efficacy of immunotherapeutic approaches. The T cell receptor expresses one of two highly homologous chains [T cell receptor β-chain constant (TRBC) domains 1 and 2] in a mutually exclusive manner, making it a promising target. We previously described an antibody with unique TRBC1 specificity (Jovi-1). Here we… Show more

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Cited by 5 publications
(13 citation statements)
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“…We next asked whether the T cells identified in the EA-niches were in a functional or dysfunctional state. For this, we examined the ESGs in the EA-niche for the expression of the T-cell exhaustion signature 21 .As shown in Figure 7d , all the 5 EA-associated niches (EA-Q1 to EA Q5) showed the presence of the 10-gene T-cell exhaustion signature, including TRBC2 24 , LAG3 25 , HAVCR2 26 , and CSF1 27 .The number of spots expressing the T-cell exhaustion genes were significantly higher in the EA vs AA tumors ( Figure 7e ). Within each of the 5 EA-niches, the expression of each exhaustion gene is similarly higher in EA Figures 7 f-k).…”
Section: Resultsmentioning
confidence: 99%
“…We next asked whether the T cells identified in the EA-niches were in a functional or dysfunctional state. For this, we examined the ESGs in the EA-niche for the expression of the T-cell exhaustion signature 21 .As shown in Figure 7d , all the 5 EA-associated niches (EA-Q1 to EA Q5) showed the presence of the 10-gene T-cell exhaustion signature, including TRBC2 24 , LAG3 25 , HAVCR2 26 , and CSF1 27 .The number of spots expressing the T-cell exhaustion genes were significantly higher in the EA vs AA tumors ( Figure 7e ). Within each of the 5 EA-niches, the expression of each exhaustion gene is similarly higher in EA Figures 7 f-k).…”
Section: Resultsmentioning
confidence: 99%
“…A mouse anti-human TRBC2 antibody was specifically designed and developed for diagnostic flow cytometry, following a previously described strategy. 14 In short, an anti-TRBC2 antibody was produced based on structural engineering and rational design of mutations on complementarity determining region (CDR)1 (T28K and Y32F) and CDR3 (A96N and N99M) of the JOVI.1 antibody (Kabat numbering scheme), resulting in switched antibody specificity from TRBC1 to TRBC2 ( Figure 1A ). The kinetic profile of the anti-TRBC2 antibody was studied against soluble TRBC1 + or TRBC2 + TCRs on a Biacore T200 surface plasmon resonance system (Cytiva, Marlborough, MA); and its thermal stability was assessed on a via Prometheus NT.48 nanoDSF differential scanning fluorimeter (NanoTemper, München, Germany) ( Supplemental Figure 1 ).…”
Section: Methodsmentioning
confidence: 99%
“…13 More recently, we employed computational biology and protein engineering to rationally design and produce mutant versions of JOVI.1 with switched specificity for TRBC2 and pre-clinical activity as CAR T-cell constructs targeting TRBC2 + T-cell malignancies. 14…”
Section: Introductionmentioning
confidence: 99%
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“…13 More recently, we employed computational biology and protein engineering to rationally design and produce mutant versions of JOVI.1 with switched speci city for TRBC2 and preclinical activity as CAR T-cell constructs targeting TRBC2 + T-cell malignancies. 14 The availability of complementary antibodies against TRBC1 and TRBC2 provides a unique opportunity to easily demonstrate T-cell clonality, in a fashion similar to detecting clonal B-cells based on kappa or lambda immunoglobulin light chain restriction. We hereby demonstrate the optimal performance of this approach for the con dent laboratory diagnosis of T-cell neoplasms.…”
Section: Introductionmentioning
confidence: 99%