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Record W3174662807 · doi:10.1002/hon.7_2881

T‐CELL SUBSET COMPOSITION AND FUNCTIONALITY IN PATIENTS WITH WALDENSTRÖM’S MACROGLOBULINEMIA

2021· article· en· W3174662807 on OpenAlexaff
Karima Amaador, Anne W. J. Martens, Joanne M. Rietveld, Eric Eldering, M. J. Kersten, Arnon P. Kater, Josephine M. I. Vos, Sanne H. Tonino

Bibliographic record

VenueHematological Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsMedicineCytotoxic T cellChronic lymphocytic leukemiaCD19Waldenstrom macroglobulinemiaCD8T cellImmunologyMacroglobulinemiaB cellCancer researchLymphomaLeukemiaImmune systemBiologyMultiple myelomaAntibody

Abstract

fetched live from OpenAlex

Background: Waldenström's macroglobulinemia (WM) is an incurable low-grade B-cell Non-Hodgkin lymphoma. WM resembles chronic lymphocytic leukemia (CLL) with regard to biologic and clinical characteristics. In CLL, extensive abnormalities in T-cell subset distribution and function have been described. These alterations may contribute to disappointing responses to T-cell directed immunotherapies. Novel autologous T-cell directed immunotherapy may improve the outlook for WM patients. However, studies evaluating T-cell functionality in WM are lacking. Methods: We systematically evaluated peripheral blood (PB) T-cell subset composition and function in WM patients. PB samples were collected from treatment-naive, relapsed and symptomatic WM patients, HCs and treatment-naïve CLL patients. Lymphocyte phenotyping was performed and differences in functionality were assessed by determining the potential of T-cells to degranulate and produce cytokines. Cytotoxic potential was assessed via engagement of blinatumomab (CD3 x CD19 bi-specific T-cell engager), that re-directs T-cells via CD3 to kill CD19+ tumor cells. Correlations between T-cell subset numbers, cytokine production, cytotoxic capacity and markers of disease activity were performed for treatment-naïve and pretreated WM separately. Results: This study included 16 treatment-naïve WM patients, 10 pretreated symptomatic WM patients, 21 age-matched HCs and 17 treatment-naïve CLL patients. In WM patients, following cell types had counts similar to HCs: T-cells (relative), CD4+ T-cells (relative), absolute CD4+ and CD8+ T-cells, Tfh cells, Treg cells, and Vδ1/ Vδ2 T-cells (relative). This is in contrast to CLL, in which T-cell numbers (relative) were decreased, absolute CD4+ and CD8+ T-cells were increased compared to HCs, Tfh, Treg, and Vδ1 T-cell numbers were increased as expected. CD4+/CD8+ T-cell differentiation was normal in WM as opposed to CLL in which a known skewing towards terminal differentiation in CD8+ T-cells was observed. No difference in Vδ2 T-cell count was observed between all groups (Figure 1). No significant differences were found in cytokine production and degranulation between CD4+ and CD8+ T-cells from WM patients in comparison with HCs, in contrast to CLL in which decreased amounts of TNF-α and increased expression of CD107a were found. Cytotoxic potential of WM-derived T-cells was intact and similar to HCs, while CLL-derived T-cells have impaired cytotoxic response to blinatumomab. Conclusion: These data represent the first systematic evaluation of the T-cell compartment in WM. The qualitative and quantitative changes in the immune system seen in CLL are not found in WM; T-cell numbers, distribution and functionality seem mostly preserved even in pretreated patients. These findings are encouraging for application of T-cell directed immunotherapy in WM, especially for relapsed/refractory WM. Keywords: Immunotherapy, Indolent non-Hodgkin lymphoma No conflicts of interests pertinent to the abstract.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score0.739

Codex and Gemma teacher scores by category

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 head0.018
GPT teacher head0.297
Teacher spread0.279 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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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Citations0
Published2021
Admission routes1
Has abstractyes

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