Anke Janssen’s research while affiliated with University Medical Center Utrecht and other places

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Publications (16)


Cumulative incidence of aGvHD and cGvHD
The CI of GvHD is defined as the time to onset of GvHD, with relapse and death as competing events. CI of aGVHD grade II-IV (a) and grade III–IV (b) with 100 days and 2 years CI reported in the table. CI of limited cGvHD (c) and extensive cGVHD (d) with 2-year CI reported in the table. Cohort R – no ex vivo depletion, no ATG; cohort R+ATG – no ex vivo depletion, with ATG; cohort D+ATG – ex vivo αβTCR-CD19 depletion, with ATG. P-values shown calculated using Fine and Grey’s test. Pairwise comparisons aGVHD II-IV D+ATG vs R p = 0.093, D+ATG vs R+ATG p < 0.001; extensive cGVHD D+ATG vs R p < 0.001, D+ATG vs R+ATG p = 0.007.
Relapse and NRM by ex vivo αβTCR/CD19 depletion and conditioning with ATG
Cumulative incidence (CI) of relapse and NRM shown with a 5-year follow-up. a The CI of relapse is defined as time to relapse, with death as a competing event. b NRM is defined as time to death without relapse or progression. 2-year cumulative incidences reported in the table. Cohort R – no ex vivo depletion, no ATG; cohort R+ATG – no ex vivo depletion, with ATG; cohort D+ATG – ex vivo αβTCR/CD19 depletion, with ATG. P-values shown calculated using Fine and Grey’s test.
OS, EFS, and GRFS by ex vivo αβTCR/CD19 depletion and conditioning with ATG
OS, EFS, and GRFS shown with a 5-year follow-up. OS (a) EFS (b), and GRFS (c) were estimated by the Kaplan–Meier product. d 2-year Kaplan–Meier estimates of OS, EFS and GRFS. Log-rank test was used to determine p-values. Cohort R – no ex vivo depletion, no ATG; cohort R+ATG – no ex vivo depletion, with ATG; cohort D+ATG – ex vivo αβTCR/CD19 depletion with ATG. P-values shown calculated using the log-rank test. Pairwise comparisons GRFS D+ATG vs R p = 0.017; D+ATG vs R+ATG p = 0.047.
Improved GVHD-free and relapse-free survival after ex vivo αβTCR and CD19 depleted allogeneic HSCT compared to T cell replete HSCT
  • Article
  • Publisher preview available

March 2025

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29 Reads

Bone Marrow Transplantation

A. H. G. Stuut

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C. Nijssen

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L. van der Wagen

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M. A. de Witte

Allogeneic hematopoietic stem cell transplantation (allo-HSCT) aims to cure patients without inducing severe graft-versus-host disease (GVHD) or relapse. In prospective studies of mostly pediatric patients with haploidentical donors, ex vivo αβTCR/CD19 depletion has shown to have low incidences of GVHD, but data for adults with matched related (MRD) or unrelated donors (MUD) remain limited. We analyzed the outcomes of recipients who received a myeloablative regimen plus ATG, followed by an αβTCR/CD19-depleted allograft (cohort D+ATG (n = 122)), and compared outcomes to T cell-replete cohorts (cohort R (N = 60)); without ATG; R+ATG = with ATG (N = 129) in a single-center retrospective analysis. In D+ATG, the incidence of aGVHD grade III–IV was 7%, compared to 13% in R and 16% in R+ATG (p = 0.09). Extensive cGVHD was reduced from 23% in R and 10% in R+ATG to 2% in D+ATG (p < 0.001). The reduced incidence of cGVHD led to a superior GVHD-relapse-free survival (GRFS) of 56.7% in D+ATG versus 36.7% in R and 42.8% in R+ATG (p = 0.03) at 2 years. In conclusion, the combination of myeloablative conditioning, ATG, and ex vivo αβTCR/CD19 depletion appears to be a promising approach to enhance GRFS in adult patients up to 75 years of age undergoing allo-HSCT.

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Improved Gvhd-Relapse Free Survival of Ex Vivo αβtcr/CD19 Depleted Allo-Sct Combined with In Vivo T Cell Depletion with ATG When Compared to T Cell Replete Transplantations with or without the Addition of ATG

November 2023

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17 Reads

Blood

Introduction The aim of allogeneic stem cell transplantation (allo-SCT) is to reach graft-versus-host disease, relapse free survival (GRFS). To reduce the incidence of graft-versus-host disease (GVHD), we have developed an allo-SCT platform combining ex vivo αβTCR/CD19 depletion with in vivo T-cell depletion through administration of antithymoglobulin (ATG). Here we compare GRFS to historical cohorts of T-cell replete allo-SCT. Methods Adults with hematological malignancies and transplanted between 2011 and 2022 were included in this retrospective analysis. Written informed consent was obtained in accordance with the JACIE guidelines. Clinical data was extracted from the EBMT registry. 3 cohorts were identified. Cohort A: Allo-SCT of unmanipulated peripheral blood derived mononuclear cells (PBMCs) of matched related donors (MRD) after non-myeloablative (NMA) or myeloablative (MA) conditioning without ATG. Cohort B: Allo-SCT of unmanipulated PBMCs of 10/10 or 9/10 matched unrelated donors (MUD) after NMA or MA conditioning with ATG. Patients in cohorts A & B received dual immunosuppression with cyclosporin (CsA) and mycophenolic acid (MMF). Cohort C: Allo-SCT of αβTCR/CD19 depleted PBMCs of MRD and MUD (10/10 and 9/10) after ATG and a myeloablative conditioning as previously described[1]. Patients in cohort C received 28 days of MMF. Cumulative incidence (CI) of GVHD was defined as time to onset of GVHD, with relapse and death as competing events. Overall survival (OS) was defined as time to death from any cause. CI of relapse was defined as time to relapse, with death as a competing event. Non-relapse mortality (NRM) was defined as time to death, without relapse or progression. Event free survival (EFS) was defined as the time to relapse, graft failure or death. GRFS was defined as the time to relapse, aGVHD 3-4 or extensive cGVHD, graft failure or death. CI of CMV and EBV reactivations were calculated with relapse and death as competing events. Results 341 patients were included (cohort A: N=63; cohort B: N=150; cohort C: N=128) (table 1). In T cell replete allo-SCT (A&B) ATG was administered to recipients of MUD and MA conditioning was administered to patients < 40 years with acute leukemia. In cohort C, all patients received ATG and an MA conditioning, regardless of age or underlying malignancy. This explains differences donor types and intensity of conditioning between the cohorts (table 1). Other clinical characteristics were comparable. Two year OS (A=66.7%; B=58.7%; C=63.8%) and EFS (A=57.1%; B=52%; C=55.7%) was comparable between the cohorts. Two year CI of relapse was also comparable (A=30%; B=23%; C=28%). Two year NRM appeared higher in B, but this difference did not reach significance (A= 9.8%; B=24%; C=15%). The CI of aGVHD grade 2-4 and 3-4 at day 100 was significantly higher in T cell replete allo-SCT with MUD (2-4; A=23%; B=37%; C=20% (p=0.002); 3-4: A=5%; B=16%; C=4.7% (p=0.043)). The incidence of extensive cGVHD was significantly higher in T cell replete allo-SCT of MRD. (A= 25%; B=13%; C= 2.3% (p=< 0.001)). The low incidence of grade 3-4 aGVHD and extensive cGVHD without an increase in relapse or NRM, translated into a superior 2 year GRFS in patients receiving ATG combined with an αβTCR/CD19 allograft (C=55.6%) as compared to T cell replete allo-HSCT of MRD (A=38.1%) and MUD (B=40.8%) (Figure 1, p=0.04). This difference remained significant in a multivariate analysis. Conclusion We demonstrate that αβTCR/CD19 depletion combined with ATG, with a myeloablative conditioning and a very short course of immunosuppression results in very low incidences of life-threatening GVHD and an improved GRFS as compared to T cell replete allo-SCT for adult patients up to the age of 70. This is likely to positively impact the long term quality of life in survivors of allo-SCT[2]. In addition, this platform provides a window for additional early post allo-interventions to further improve the control of underlying hematological malignancies. 1. de Witte, M.A., et al., alphabeta T-cell graft depletion for allogeneic HSCT in adults with hematological malignancies. Blood Adv, 2021. 5(1): p. 240-249. 2. Oerlemans, S., et al. Relapse and severe Graft-versus-Host Disease have a negative impact on long-term symptoms and quality of life of patients three years after allogeneic haematopoietic stem cell transplantation. Annual meeting EBMT 2022.



Clonotypic expansion involves concentration of the CDR3δ pAg-sensing determinants. (A–C) Proportion of sequences featuring the determinants of pAg reactivity: rearrangement to J1 region (A), the invT (B), and a hAA5 (A/V/L/I/P/W/F/M) (C) among clonotypes with increasing f in the CD27pos cells. Lines connect the average of the replicates in each donor. Bars represent median values and interquartile range (IQR). The median difference and the p-values were obtained using Wilcoxon rank-sum test. (D) CDR3δ length distribution among J1-rearranged clonotypes in the CD27pos cells. Sequences were classified by f. Lines connect the mean abundances of clonotypes of each respective length within the frequency category. (E, F) CDR3δ length (E) and number of N insertions (F) in clonotypes rearranged to J1 region. Mean values and error bars representing 95% CI for the mean are shown in red ***P ≤ 0.001 (Wilcoxon rank-sum test).
Phenotypic maturation reflects repertoire focusing which is independent of the CDR3δ traits. (A) Proportion of Vδ2TCR+ T cells among CD3+ cells in the donors of different phenotypic profiles. (B) Correlation matrix showing Spearman’s correlation coefficients for the proportion of Vδ2+ T cells among CD3+ T cells, and the proportion of CD27+, CD28+, or CD16+ T cells among Vδ2+ T cells, measured in an independent set of 10 healthy donors. (C–E) Measures of diversity: Shannon entropy (C), repertoire richness (number of individual clonotypes, (D), and repertoire evenness, defined as D75 (E) in the late-stage profile donors (n = 4). (F–H) Proportion of sequences featuring the determinants of pAg reactivity: rearrangement to J1 region (F), the invT (G), and a hydrophobic AA5 (H) among the clonotypes with increasing frequency f in the CD27neg cell population of the late-stage donors. Bars represent median values and IQRs. The median difference and the p-values were determined using Wilcoxon rank-sum test. *p < 0.05; **p ≤ 0.01; ***p ≤ 0.001. (I) CDR3δ length distribution among J1-rearranged clonotypes in the CD27neg cells. Sequences were classified by f. Lines connect the mean abundances of clonotypes of each respective length within the frequency category.
Public delta sequences: persistence in the adult repertoire, qualitative traits, and functionality. (A) Percentage of public AA CDR3δ sequences among clonotypes with increasing f. (B) Number of individual nucleotypes encoding for individual public AA sequence in relation to the sequence “publicity” (number of individual donors sharing a given sequence). (C) The relationship between the number of donors sharing a public sequence and the median f (all donors pooled together; each dot represents an individual sequence). (D) Representative treemaps of the repertoires of CD27pos and CD27neg populations of two late-stage profile donors. Public AA clonotypes are highlighted in color; private sequences are shown in gray. (E) Percentage of highly common public AA CDR3δ sequences in the repertoires of CD27pos and CD27neg populations in the late-stage profile donors (n = 4). (F) CDR3δ length distribution of private vs. public AA sequences; the highly common public clonotypes are shown separately in red. (G) Number of total N insertions in private vs. public AA sequences. (H–J) J region usage (H), invT (I), and hAA5 (J) in private versus public AA sequences. (K) Percentage CD69pos TCR-transduced Jurkat76 cells upon overnight incubation with target cell line Daudi without or in the presence of 100 μM of PAM. In all panels horizontal bars represent median values and IQRs. The median differences and the p-values were determined using Wilcoxon rank-sum test. *p < 0.05; **p ≤ 0.01; ***p ≤ 0.001. Panels (A, C, F–J) refer to the CD27pos cell populations.
Non-clonally restricted NKG2D expression versus a CDR3δ bias in surface expression of CD94/NKG2A(B). (A) An example of a repertoire of a healthy donor where a putative non-pAg-reactive clonotype occupies a prominent position (position 16, CACDTEGTPTLLIF). (B–D) TCR repertoire diversity of the NKG2Ddim/neg and NKG2Dbright cell populations estimated with Shannon entropy (B), species richness (C), and evenness(D75) (D) (n = 3 donors). y-Axis limits are set equal to those in Figures 2C–E. (E) Qualitative features of the repertories of the NKG2Ddim/neg and NKG2Dbright cells in relation to clonotype frequency: proportion of sequences rearranged to J1 region and proportion of sequences featuring the invT or a hAA5. (F) Qualitative features of the repertories of the CD94neg and CD94bright cells in relation to clonotype frequency: proportion of sequences rearranged to J1 region and proportion of sequences featuring the invT or a hAA5 (n = 2 donors). (G) Treemaps showing the CDR3δ repertoires of the NKG2Ddim/neg, NKG2Dbright, CD94bright, and CD94neg-sorted populations in the same healthy donor as in (A) Position of the putative non-pAg reactive clonotype CACDTEGTPTLLIF is indicated. (B–F) Bars represent median values and interquartile range (IQR) (Wilcoxon rank-sum test, *p < 0.05; **p ≤ 0.01; ***p ≤ 0.001).
γ9δ2 T-Cell Expansion and Phenotypic Profile Are Reflected in the CDR3δ Repertoire of Healthy Adults

July 2022

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112 Reads

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4 Citations

γ9δ2T cells fill a distinct niche in human immunity due to the unique physiology of the phosphoantigen-reactive γ9δ2TCR. Here, we highlight reproducible TCRδ complementarity-determining region 3 (CDR3δ) repertoire patterns associated with γ9δ2T cell proliferation and phenotype, thus providing evidence for the role of the CDR3δ in modulating in vivo T-cell responses. Features that determine γ9δ2TCR binding affinity and reactivity to the phosphoantigen-induced ligand in vitro appear to similarly underpin in vivo clonotypic expansion and differentiation. Likewise, we identify a CDR3δ bias in the γ9δ2T cell natural killer receptor (NKR) landscape. While expression of the inhibitory receptor CD94/NKG2A is skewed toward cells bearing putative high-affinity TCRs, the activating receptor NKG2D is expressed independently of the phosphoantigen-sensing determinants, suggesting a higher net NKR activating signal in T cells with TCRs of low affinity. This study establishes consistent repertoire–phenotype associations and justifies stratification for the T-cell phenotype in future research on γ9δ2TCR repertoire dynamics.


Possible γδ T cell-mediated therapies in viral infections.
Studies reporting on type of transplantation and viral reactivations or infections. Adapted and modified from de Witte et al. [1].
Cont.
The Role of γδ T Cells as a Line of Defense in Viral Infections after Allogeneic Stem Cell Transplantation: Opportunities and Challenges

January 2022

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97 Reads

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12 Citations

In the complex interplay between inflammation and graft-versus-host disease (GVHD) after allogeneic stem cell transplantation (allo-HSCT), viral reactivations are often observed and cause substantial morbidity and mortality. As toxicity after allo-HSCT within the context of viral reactivations is mainly driven by αβ T cells, we describe that by delaying αβ T cell reconstitution through defined transplantation techniques, we can harvest the full potential of early reconstituting γδ T cells to control viral reactivations. We summarize evidence of how the γδ T cell repertoire is shaped by CMV and EBV reactivations after allo-HSCT, and their potential role in controlling the most important, but not all, viral reactivations. As most γδ T cells recognize their targets in an MHC-independent manner, γδ T cells not only have the potential to control viral reactivations but also to impact the underlying hematological malignancies. We also highlight the recently re-discovered ability to recognize classical HLA-molecules through a γδ T cell receptor, which also surprisingly do not associate with GVHD. Finally, we discuss the therapeutic potential of γδ T cells and their receptors within and outside the context of allo-HSCT, as well as the opportunities and challenges for developers and for payers.


Figure 2 TCRs derived from tumor reactive oligoclones do not show reactivity when transduced in Jurkat-76 cells. (A) Surface expression of the transduced γδTCR was analyzed by FACS. Cells were stained with fluorescently labeled antibodies against CD3 (pacific blue) and pan γδTCR (PE). (B) transduced Jurkat-76 cells were incubated with target cells labeled with cell trace violet for 16 h. The cells were stained for surface expression of CD69, CD3, and γδTCR, and analyzed by FACS . Plotted are the mean fluorescent intensity (MFI) values for CD69-APC on the γδ+ Jurkat-76 cells.
Summary of reactivity against the tumor panel cell lines of peripheral blood derived oligoclones
overview of the number of cell lines recognized by the oligoclones
Overview TCR gene usage and CDR3 sequences of sequenced δ2 negative TCRs
Tumor-reactivity of d2 negative gdT cells and the role of the gdT cell receptor

March 2021

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76 Reads

abT cells engineered to express a defined gdTCR (TEG) to attack cancer cells have shown great promise when using a g9d2TCR to redirect abT cells. Reports by us and recent reports by others support the key role of the g9d2TCR in cancer recognition. We further emphasized the crucial role of the dTCR chain and that differences in CDR3 sequences of the dTCR chain modulates functional avidity of TEGs. We and others demonstrated that also d2 negative gdTCRs are able to redirect abT cells towards different tumor cell lines. However, some studies suggest that d2 negative gdTCRs play a minor role in the tumor recognition by d2 negative gdT cells. In addition for both modes of action for tumor-recognition, d2 negative gdTCR-dependent and -independent, it has been suggested that CMV infection is not only a major driver of d2 negative gdT cell expansion but also induces tumor-cross reactive d2 negative gdT cells. Therefore, we aimed to systematically explore frequencies of tumor reactive d2 negative gdT cells in naive repertoires (cord blood) and patients with or without CMV infection and examined the potential role the parental d2 negative gdTCR in anti-tumor reactivity of selected clones. We observed that approximately 30% of all tested clones were tumor-reactive, though no differences were observed between different sources. Surprisingly, none of the so far tested gdTCR did mediate strong anti-tumor reactivity of the parental clones. Though numbers of tested TCR sequences are still low, our data imply that tumor-reactivity of d2 negative gdT cells is frequently not mediated by the d2 negative gdTCR alone.


Figure 3. T-cell reconstitution following autologous hematopoietic stem cell transplantation (autoHSCT). Absolute numbers (cells per milliliter) of (A) total CD3 + T-cells, (B) total, naive (CD27 + CD45RO -) and memory (CD45RO + ) CD3 + CD4 + T-cells, (D) total, naive (CD27 + CD45RO -) and memory (CD45RO + ) CD3 + CD8 + T-cells, and (C) the CD4:CD8 ratio over time for the duration of the study are depicted. Box plots represent the distribution of values for healthy controls (HCs) (N = 17 for CD3 + , CD4 + , CD8 + , and CD4:CD8 ratio, other N = 27, box = 25th to 75th percentile, black line=median, Figure 3 continued on next page
Figure 4. T-cell dynamics after autologous hematopoietic stem cell transplantation (autoHSCT). (A) Deuterium enrichment in the DNA of naive and memory CD4 + and CD8 + T-cells in autoHSCT patients (A-F, color symbols) and healthy controls (HCs, gray symbols) (Westera et al., 2015). Dotted lines correspond to the end of the labeling period (black for autoHSCT patients and gray for HCs). Label enrichment was scaled between 0% and 100% by normalizing for the maximum enrichment in granulocytes (see Figure 4-figure supplement 1 and Figure 4-source data 1). (B) Estimates of the Figure 4 continued on next page
Figure 7. B-cell dynamics after autologous hematopoietic stem cell transplantation (autoHSCT). (A) Deuterium enrichment in the DNA of B-cell subsets in autoHSCT patients (A-F, color symbols) and healthy controls (HCs) (gray symbols) (Westera et al., 2015). Dotted lines correspond to the end of the labeling period (black for autoHSCT patients and gray for HCs). Label enrichment was scaled between 0% and 100% by normalizing for the maximum enrichment in granulocytes (Figure 4-source data 1). (B) Estimates of the per cell production rates of naive, Ig class-switched memory, and IgM + memory B-cells in autoHSCT patients and HCs (Westera et al., 2015). For individual fits and estimates, see Figure 7-figure supplement 1 and Figure 7-source data 1. (C) Ki-67 expression was measured within naive, Ig class-switched memory, and IgM + memory B-cells in autoHSCT patients and HCs (Westera et al., 2015) (for gating strategy, see Figure 5-figure supplement 1). (D) Percentage of naive B-cells containing a KREC and naive B-cell division history for autoHSCT patients and HCs (Westera et al., 2015). Different symbols indicate different individuals, autoHSCT patients (A-F) in color and HCs in gray. Horizontal lines represent median values. p-values of differences between groups are shown (Mann-Whitney test). For information on modeling in R, see Figure 4-source code 1. The online version of this article includes the following source data and figure supplement(s) for figure 7: Source data 1. Estimates of average daily production rates for B cell subsets of autoHSCT patients. Figure supplement 1. Best fits of 2 H enrichment in B-cell subsets in autologous hematopoietic stem cell transplantation (autoHSCT) patients.
Figure 8. Average T-and B-cell loss rates following autologous hematopoietic stem cell transplantation (autoHSCT). (A) Estimates of the average loss rates of naive and memory CD4 + and CD8 + T-cells and of (B) naive, Ig class-switched memory and IgM + memory B-cells in autoHSCT patients (A-F, color symbols) and healthy controls (HCs; gray symbols) (Westera et al., 2015). Average loss rates were calculated (see Figure 8-source data 1) using the estimated average production rates and the corrected cell numbers (Figure 8-figure supplements 1 and 2) as described in Materials and methods. Horizontal lines represent median values. p-values of differences between groups are shown (Mann-Whitney test). The online version of this article includes the following source data and figure supplement(s) for figure 8: Source data 1. Estimates of average daily loss rates for T-and B-cell subsets autoHSCT patients. Figure supplement 1. Best fits of T-cell numbers in autologous hematopoietic stem cell transplantation (autoHSCT) patients. Figure supplement 2. Best fits of B-cell numbers in autologous hematopoietic stem cell transplantation (autoHSCT) patients.
Cell-density independent increased lymphocyte production and loss rates post-autologous HSCT

February 2021

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106 Reads

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9 Citations

eLife

Lymphocyte numbers need to be quite tightly regulated. It is generally assumed that lymphocyte production and lifespan increase homeostatically when lymphocyte numbers are low, and vice versa return to normal once cell numbers have normalized. This widely-accepted concept is largely based on experiments in mice, but is hardly investigated in vivo in humans. Here we quantified lymphocyte production and loss rates in vivo in patients 0.5-1 year after their autologous hematopoietic stem cell transplantation (autoHSCT). We indeed found that the production rates of most T-cell and B-cell subsets in autoHSCT-patients were 2 to 8-times higher than in healthy controls, but went hand in hand with a 3 to 9-fold increase in cell loss rates. Both rates also did not normalize when cell numbers did. This shows that increased lymphocyte production and loss rates occur even long after autoHSCT and can persist in the face of apparently normal cell numbers.


αβ T-cell graft depletion for allogeneic HSCT in adults with hematological malignancies

January 2021

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58 Reads

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36 Citations

Blood Advances

We conducted a multicenter prospective single-arm phase 1/2 study that assesses the outcome of αβ T-cell depleted allogeneic hematopoietic stem cell transplantation (allo-HSCT) of peripheral blood derived stem cells from matched related, or unrelated donors (10/10 and 9/10) in adults, with the incidence of acute graft-versus-host disease (aGVHD) as the primary end point at day 100. Thirty-five adults (median age, 59; range, 19-69 years) were enrolled. Conditioning consisted of antithymocyte globulin, busulfan, and fludarabine, followed by 28 days of mycophenolic acid after allo-HSCT. The minimal follow-up time was 24 months. The median number of infused CD34+ cells and αβ T cells were 6.1 × 106 and 16.3 × 103 cells per kg, respectively. The cumulative incidence (CI) of aGVHD grades 2-4 and 3-4 at day 100 was 26% and 14%. One secondary graft failure was observed. A prophylactic donor lymphocyte infusion (DLI) (1 × 105 CD3+ T cells per kg) was administered to 54% of the subjects, resulting in a CI of aGVHD grades 2-4 and 3-4 to 37% and 17% at 2 years. Immune monitoring revealed an early reconstitution of natural killer (NK) and γδ T cells. Cytomegalovirus reactivation associated with expansion of memory-like NK cells. The CI of relapse was 29%, and the nonrelapse mortality 32% at 2 years. The 2-year CI of chronic GVHD (cGVHD) was 23%, of which 17% was moderate. We conclude that only 26% of patients developed aGVHD 2-4 after αβ T-cell–depleted allo-HSCT within 100 days and was associated with a low incidence of cGVHD after 2 years. This trial was registered at www.trialregister.nl as #NL4767.


γ9δ2T cell diversity and the receptor interface with tumor cells

June 2020

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508 Reads

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62 Citations

The Journal of clinical investigation

γ9δ2T cells play a major role in cancer immune surveillance, yet the clinical translation of their in vitro promise remains challenging. To address limitations of previous clinical attempts utilizing expanded γ9δ2T cells, we explored the clonal diversity of γ9δ2T cell repertoires and characterized their target. We demonstrated that only a fraction of expanded γ9δ2T cells is active against cancer cells, and that activity of the parental clone, or functional avidity of selected γ9δ2TCRs does not associate with clonal frequency. We also analyzed the target-receptor-interface and provided a two-receptor, three-ligand model. Activation is initiated by binding of the γ9δ2TCR to BTN2A1 through the regions between CDR2 and CDR3 of the TCR γ chain, and modulated by the affinity of the CDR3 region of the TCR δ chain, which is phosphoantigen (pAg)-independent and does not depend on CD277. CD277 is secondary, serving as mandatory co-activating ligand. Binding of CD277 to its putative ligand does not depend on the presence of γ9δ2TCR, does depend on usage of the intracellular CD277, creates pAg-dependent proximity to BTN2A1, enhances cell-cell conjugate formation and stabilizes the immunological synapse. This process critically depends on the affinity of the γ9δ2TCR and requires membrane flexibility of the γ9δ2TCR and CD277, facilitating their polarization and high-density recruitment during immunological synapse formation.


TEG001 insert integrity from vector producer cells until medicinal product

May 2020

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21 Reads

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3 Citations

Cytotherapy

Background & Aim Despite extensive usage of gene therapy medicinal products (GTMPs) in clinical studies and recent approval of CAR T cell therapy, little information has been made available on the precise molecular characterization and possible variations in terms of insert integrity and vector copy numbers of different GTMPs during the complete production chain. Within this context we characterize αβT cells Engineered to express a defined γδT cell receptor (TEGs) currently used in a first-in-human clinical study (NTR6541). Methods, Results & Conclusion Utilizing Targeted Locus Amplification in combination with Next Generation Sequencing for the vector producer clone and TEG001 products we report on 5 single nucleotide variants and 9 intact vector copies integrated in the producer clone. The vector copy number in TEG001 cells was on average a factor 0.72 (SD 0.11) below that of the producer cell clone. All nucleotide variants were transferred to TEG001, without having an effect on cellular proliferation during extensive in vitro culture. Based on an environmental risk assessment of the 5 nucleotide variants present in the non-coding viral region of the TEG001 insert, there was no altered environmental impact of TEG001 cells. We conclude that TEG001 cells do not have an increased risk for malignant transformation in vivo. In conclusion, we have reported an extensive molecular characterization of TEG001 transgene integrity that resulted in the approval a phase I clinical study which did not only allow to investigate the safety and tolerability of TEG001 in patients with relapsed/refractory acute myeloid leukemia, high-risk myelodysplastic syndrome, and relapsed/refractory multiple myeloma but also will provide a valuable framework for the molecular characterisation of future GTMPs.


Citations (11)


... Ex vivo graft engineering strategies have advanced during the last decades and various strategies are available, with combined αβT cell and CD19+ B-cell depletion (later referred to as αβTCR/CD19 depletion), "Campath-in-thebag", and CD34+ selection is among the most frequently used within EBMT centers [17]. Furthermore, it has been shown that ex vivo-engineered allografts can also be frozen in order to allow administration during pandemic events [18]. ...

Reference:

Improved GVHD-free and relapse-free survival after ex vivo αβTCR and CD19 depleted allogeneic HSCT compared to T cell replete HSCT
Graft engineering: how long can you wait, how low can you go, and pandemic readiness
  • Citing Article
  • April 2023

Bone Marrow Transplantation

... Their mode of action includes the upregulation of the butyrophilin 2A1 (BTN2A1) [4] which forms a complex with BTN3A1/2 heterodimers through phosphoantigens [5]. This process is heavily regulated by the small GTPase RhoB [6] and depends on the trafficking of BTN3A1 [7]. γ9δ2TCR detection acts on metabolic stress in cancer cells and depends on AMP-activated protein kinase (AMPK) [8]. ...

γ9δ2 T-Cell Expansion and Phenotypic Profile Are Reflected in the CDR3δ Repertoire of Healthy Adults

... In addition, many years of investigations have demonstrated the role of γδ T cells in recognizing infected cells [11]. In particular, the role of γ9δ2T cells has been reported in recognizing Epstein-Barr virus (EBV)-infected cells [12], while other γδ T cell subsets recognize cells that are infected with cytomegalovirus (CMV) [13]. Although the responses of human γδ T cells and their antiviral abilities following allogeneic hematopoietic stem cell transplantation have been extensively examined in infections with herpes viruses like CMV or EBV, there is a lack of studies addressing the involvement of γδ T cells in other herpes viruses such as varicella-zoster virus (VZV), as well as non-herpes viruses like adenoviruses (ADV) and reoviruses (RV) [14]. ...

The Role of γδ T Cells as a Line of Defense in Viral Infections after Allogeneic Stem Cell Transplantation: Opportunities and Challenges

... Secondly, radiotherapy, chemotherapy, and parabiosis are all nonphysiological situations in which (low) levels of inflammation or cell damage and reduced competition between cells can alter cell dynamics. 22 Thirdly, cell numbers can vary significantly, which may in part be explained by the circadian rhythm through which Tcell numbers fluctuate during the day. 23,24 ...

Cell-density independent increased lymphocyte production and loss rates post-autologous HSCT

eLife

... The potential of BTN3A to mediate additional Vγ9Vδ2 TCRindependent interactions with T cell-expressed ligands was suggested by Vyborova et al. [96], based on binding experiments involving BTN3A-coated beads. Although this potentially aligns with previous work highlighting BTN3A interaction with T cells [92,97], staining was limited to Jurkat cell lines, leaving the identity of the putative ligand and its importance for pAg sensing unclear. ...

γ9δ2T cell diversity and the receptor interface with tumor cells

The Journal of clinical investigation

... TEG002 shares the same Vγ9Vδ2 TCR as TEG001 and exerts a cytotoxicity effect against neuroblastoma organoids. Straetemans et al. [112] also proved that the insertion of Vγ9Vδ2 TCR does not increase the risk of TEG001 cells for malignant transformation. A Phase I clinical trial has also been initiated to investigate the safety of TEG002 (NCT04688853). ...

TEG001 insert integrity from vector producer cells until medicinal product
  • Citing Article
  • May 2020

Cytotherapy

... Notably, RP11-742N3.1, also known as RPS28P7, was highly expressed (above 150 TPM). This 374-nucleotide ribosomal pseudogene is exclusively localized in the cytoplasm 54 and has previously been implicated in GvHD suppression 55 . ...

Efficacy of MSC for steroid-refractory acute GVHD associates with MSC donor age and a defined molecular profile
  • Citing Article
  • April 2020

Bone Marrow Transplantation

... Research in breast cancer has primarily focused on Vδ1 + γδ T cells as they are the predominant subtype of γδ T cells in breast tissue [41,42]. Vδ2 + γδ T cells are effective proinflammatory mediators and exert cytotoxic effects on tumor cells, and have been observed to directly interact with tumor cells in breast cancer [43][44][45]. Additionally, Vδ2 + γδ T cells constitute the major subset of γδ T cells in peripheral blood, but demonstrate weaker activity in breast cancer [40]. ...

γδ T-cell Receptors Derived from Breast Cancer–Infiltrating T Lymphocytes Mediate Antitumor Reactivity

... -Therapeutic Efficacy: an insufficient number of vector copies may result in low or absent CAR receptor expression, compromising product efficacy [27][28][29][30]. -Safety: an excessive number of vector copies can lead to CAR overexpression, increasing toxicity risks. ...

TEG001 Insert Integrity from Vector Producer Cells until Medicinal Product

Molecular Therapy