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Record W3211914517 · doi:10.1182/blood-2021-146012

Rapid and Sustained Reduction of Immunosuppressive T-Cells and Focusing of the T-Cell Repertoire in t(11;14) Relapsed/Refractory Multiple Myeloma Patients Treated with Venetoclax in Combination with Daratumumab and Dexamethasone

2021· article· en· W3211914517 on OpenAlexaff
Nizar J. Bahlis, Jonathan L. Kaufman, Rachid Baz, Hang Quach, Shir‐Jing Ho, Annette Juul Vangsted, Torben Plesner, Philippe Moreau, Simon Gibbs, Eva Medvedova, Orlando F. Bueno, Yan Luo, Christine Mantis, Deeksha Vishwamitra, Jeremy A. Ross, Simon J. Harrison

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsInstitute of Cancer ResearchUniversity of Calgary
Fundersnot available
KeywordsDaratumumabVenetoclaxMultiple myelomaMedicineRefractory (planetary science)LenalidomideImmunologyCancer researchOncologyBiologyLeukemiaChronic lymphocytic leukemia

Abstract

fetched live from OpenAlex

Abstract Background: Venetoclax (Ven) is a highly selective, potent, oral BCL-2 inhibitor that is currently being evaluated as a targeted therapy for the treatment of t(11;14) relapsed/refractory multiple myeloma (RRMM). The combination of Ven with daratumumab (D) and dexamethasone (d) has shown promising efficacy with a tolerable safety profile in the phase 1/2 study (NCT03314181). VenDd is hypothesized to have increased anti-myeloma activity based upon complementary mechanisms of pro-apoptotic effects on tumor cells as well as potentially enhanced T-cell activation and clonal expansion, which has been shown to be associated with achieving deep sustained response to D-based therapy in MM. Results presented herein describe the immunomodulatory effects observed upon VenDd treatment in t(11;14) RRMM patients, including effects on the T-cell repertoire. Methods: Peripheral blood samples from t(11;14) RRMM patients (n=18) treated with VenDd (NCT03314181) were collected at day 1 of cycles 1-5 to characterize effects on B-, T-, and NK-cell populations by multicolor flow cytometry. TCRβ sequencing (ImmunoSEQ, Adaptive Biotechnologies) was also conducted on peripheral blood samples collected from t(11;14) RRMM patients (n=31) treated with VenDd at day 1 of cycles 1, 3, 5, and 9 to assess changes in T-cell clonality, defined as the extent of mono- or oligoclonal expansion by Simpson clonality index, and T-cell richness, defined as the number of clones with unique TCRβ rearrangements after computationally down-sampling to a common number of T-cells. Results: Consistent with previous findings with Ven, rapid and sustained depletion of B-cells (CD19+/CD5-) was observed in patients treated with VenDd (median absolute count: 115 cells/ml at baseline vs 13 cells/ml at C2D1 (89% decrease), p<0.0001; vs 4 cells/ml at C5D1 (97% decrease), p<0.01). Significant reduction in NK cells (CD16+/CD56+) was also observed upon VenDd treatment (median absolute count: 179 cells/ml at baseline vs 30 cells/ml at C2D1 (83% decrease), p<0.0001; vs 16 cells/ml at C5D1 (91% decrease), p<0.01), which is consistent with previous results with D-containing regimens. Within the circulating T-cell population, a significant and sustained decrease in CD4+ T-cells (median absolute count: 421 cells/ml at baseline vs 251 cells/ml at C2D1 (40% reduction), p<0.0001; vs 211 cells/ml at C5D1 (50% reduction), p<0.01) was observed, with naïve and central memory CD4+ T-cells being more sensitive than effector memory T-cells (median absolute count: 61 cells/ml at baseline vs 34 cells/ml (45% reduction) at C3D1, p<0.01; 162 cells/ml at baseline vs 79 cells/ml (51% reduction) at C3D1, p<0.001; 151 cells/ml at baseline vs 120 cells/ml (21% reduction) at C3D1, p<0.01; respectively). A rapid and sustained decrease in immunosuppressive regulatory T-cells (CD4+/CD25 hi/CD127 dim) was observed in VenDd treated patients (median absolute count: 42 cells/ml at baseline vs 18 cells/ml at C2D1 (56% reduction), p<0.0001; vs 15 cells/ml at C5D1 (63% reduction), p<0.01). In contrast to the CD4+ T-cell subsets, a transient decrease in CD8+ T-cells was observed at C2D1 (median absolute count: 333 cells/ml at baseline vs 259 cells/ml at C2D1 (22% reduction), p<0.001) with levels returning to near-baseline by C3D1, including effector memory CD8+ T-cells. TCR-sequencing revealed a significant increase in T-cell clonality upon treatment with VenDd (Figure 1A). A significant decrease in T-cell richness was observed (Figure 1B), indicating a focusing of the T-cell repertoire. The observed increases in T-cell clonality upon VenDd treatment were due to expansion of both newly detected clones and clones that were present at baseline (Figure 1C). Finally, the immunomodulatory effects of VenDd described herein were consistent between the Ven dose cohorts (400 and 800mg). Conclusions: Treatment of t(11;14) RRMM patients with VenDd resulted in selective depletion of B-cells, NK-cells, and immunosuppressive regulatory T-cells, but not CD8+ T-cell subsets. Increased T-cell clonality indicates focusing of the T-cell repertoire and generation of an adaptive anti-myeloma immune response upon treatment with VenDd. The study is continuing with a randomized, open-label expansion that will further evaluate the safety and efficacy of VenDd in patients with t(11;14) RRMM, including correlative studies between the observed immune modifications and patient outcome. Figure 1 Figure 1. Disclosures Bahlis: Genentech: Consultancy; Pfizer: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; GlaxoSmithKline: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; BMS/Celgene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria. Kaufman: Fortis Therapeutics: Research Funding; Sutro, Takeda: Research Funding; Roche/Genetech, Tecnopharma: Consultancy, Honoraria; Heidelberg Pharma: Research Funding; BMS: Consultancy, Research Funding; Janssen: Honoraria; Incyte, TG Therapeutics: Membership on an entity's Board of Directors or advisory committees; Tecnofarma SAS, AbbVie: Honoraria; Amgen: Research Funding; Novartis: Research Funding; Incyte, celgene: Consultancy; Genentech, AbbVie, Janssen: Consultancy, Research Funding. Baz: BMS, sanofi, Karyopharm, Janssen, AbbVie: Consultancy, Research Funding; Merck: Research Funding; GlaxoSmithKline: Consultancy, Honoraria; Oncopeptides: Consultancy. Quach: Karyopharm: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; GlaxoSmithKline: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen/Cilag: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; CSL: Consultancy, Membership on an entity's Board of Directors or advisory committees; Antengene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Plesner: Genmab, Genentech, Roche: Research Funding; Janssen, Celgene, Takeda, Oncopeptides, AbbVie: Consultancy, Research Funding. Moreau: Celgene BMS: Honoraria; Janssen: Honoraria; Amgen: Honoraria; Sanofi: Honoraria; Abbvie: Honoraria; Oncopeptides: Honoraria. Gibbs: AbbVie: Consultancy; Janssen, Celgene, Amgen, Takeda, BMS and Pfizer: Consultancy, Honoraria. Bueno: AbbVie: Current Employment, Current equity holder in publicly-traded company. Luo: AbbVie: Current Employment, Current equity holder in publicly-traded company. Mantis: AbbVie: Current Employment, Current equity holder in publicly-traded company. Vishwamitra: AbbVie: Current Employment, Current equity holder in publicly-traded company. Ross: AbbVie: Current Employment, Current equity holder in publicly-traded company, Current holder of individual stocks in a privately-held company. Harrison: Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Abbvie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche/Genentech: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Eusa: Consultancy, Honoraria, Speakers Bureau; GSK: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Haemalogix: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Sanofi: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Terumo BCT: Consultancy, Honoraria; Janssen Cilag: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Celgene/ Juno/ BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. OffLabel Disclosure: Venetoclax is a highly selective, potent, oral BCL-2 inhibitor that is being investigated as therapy for the treatment of relapsed/refractory multiple myeloma.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.220
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2021
Admission routes1
Has abstractyes

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