MétaCan
Menu
← Back to cohort
Record W3097858251 · doi:10.1182/blood-2020-136991

Clonally Expanded Bone Marrow T Cells Show Effector Differentiation and Rarely Recognize Disease-Associated Antigens in Multiple Myeloma

2020· article· en· W3097858251 on OpenAlexaff
Carlotta Welters, Meng-Tung Hsu, Christian Stein, Livius Penter, María Fernanda Lammoglia Cobo, Kerstin Dietze, Eric Blanc, Dieter Beule, Lars Bullinger, Julian Strobel, Holger Hackstein, Armin Gerbitz, Klaus Dornmair, Thomas Blankenstein, Leo Hansmann

Bibliographic record

VenueBlood · 2020
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsBiologyBone marrowCytotoxic T cellAntigenMultiple myelomaImmunologyCD8T cellImmune systemCancer researchIn vitro

Abstract

fetched live from OpenAlex

Multiple myeloma is a malignancy of monoclonal plasma cells accumulating in the bone marrow. The critical influence of tumor-infiltrating T cells on disease control and therapeutic responses has been shown in a variety of malignancies, however, the role of multiple myeloma bone marrow-infiltrating T cells is incompletely understood. Although it has been shown that multiple myeloma neo-antigen-specific T cells can be expanded in vitro, little is known about functions and specificities of clonally expanded multiple myeloma-infiltrating bone marrow T cells. Here we asked at the single cell level whether clonally expanded T cells i) were detectable in multiple myeloma bone marrow and peripheral blood, ii) showed characteristic immune phenotypes, and iii) recognized antigens selectively presented on multiple myeloma cells. A total of 6,744 single bone marrow T cells from 13 treatment-naïve patients were index-sorted and sequenced using our methodologies for determination of paired T cell receptor (TCR) αβ sequences along with immune phenotype, transcription factor and cytokine expression. Clonal T cell expansion occurred predominantly within the CD8+ compartment. Phenotypes of clonally expanded T cells were distinctive of cytolytic effector differentiation and significantly different from non-expanded CD8+ T cells. Less than 25% of expanded CD8+ T cell clones expressed the immune checkpoint molecules programmed death-1 (PD-1), cytotoxic T lymphocyte antigen-4 (CTLA-4), or T cell immunoglobulin and mucin-domain containing-3 (TIM-3), while B and T lymphocyte attenuator (BTLA) was expressed on more than half of the expanded clones. Clonal T cell expansion did not correlate with neo-antigen load as determined by whole exome and RNA sequencing of purified multiple myeloma cells. Furthermore, peripheral blood TCRβ repertoire sequencing from five selected patients with substantial bone marrow T cell expansion identified 90% of expanded bone marrow T cell clones overlapping with peripheral blood. To determine whether clonally expanded bone marrow T cells recognized antigens selectively presented on multiple myeloma cells, 71 dominant TCRs from five selected patients with substantial clonal T cell expansion were re-expressed in 58α-β- T-hybridoma reporter T cells and co-incubated with CD38-enriched multiple myeloma cells from the same patients. Only one of these TCRs recognized antigens selectively presented on multiple myeloma cells and this TCR was not neo-antigen-specific. Hypothesizing that the target antigen was a non-mutated self-antigen, we could show that this TCR also recognized the plasma cell leukemia cell line U-266 in an HLA-A*02:01-restricted manner. In summary, clonally expanded T cells in multiple myeloma bone marrow of newly diagnosed patients show cytolytic effector differentiation. In the majority of patients, clonally expanded bone marrow T cells do not recognize antigens presented on multiple myeloma cells and are not neo-antigen-specific. Our findings are relevant for the design of future therapeutics and clinical trials. The identified TCR, which recognizes a multiple myeloma antigen shared with U-266 in an HLA-A*02:01-restricted manner, could be a promising candidate for T cell therapy. Disclosures Bullinger: Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Hexal: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Menarini: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees; Astellas: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Daiichi Sankyo: Membership on an entity's Board of Directors or advisory committees.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

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 head0.027
GPT teacher head0.253
Teacher spread0.226 · 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 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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueBlood→Same topicMultiple Myeloma Research and Treatments→French-language works237,207→