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Record W4389243001 · doi:10.1182/blood-2023-190720

Multiple Myeloma B Cells and Pre-Plasma Cells Are Important Reservoirs for Myeloma Relapse Following Plasma Cell-Directed Therapy and Prevent Cure with Standard Therapies

2023· article· en· W4389243001 on OpenAlexaff
Rodger E. Tiedemann, Inès Tagoug, Natalie Erdmann, Ali Mahdipour–Shirayeh, Kim Chan Chung

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsAmgen (Canada)Princess Margaret Cancer Centre
Fundersnot available
KeywordsPomalidomideDaratumumabCarfilzomibLenalidomideBortezomibPlasma cellMultiple myelomaPlasma Cell MyelomaCD20Cancer researchclone (Java method)Plasma cell neoplasmPlasma cell leukemiaCD38MedicineBiologyStem cellImmunologyLymphomaCD34Plasmacytoma

Abstract

fetched live from OpenAlex

Multiple Myeloma (MM) is a B cell neoplasm characterized by the accumulation of mature plasma cells (PCs) within the bone marrow (BM). Despite treatment advances, MM remains incurable in the vast majority of patients. Disease relapse typically occurs regardless of treatment with proteasome inhibitors (such as bortezomib and carfilzomib), immunomodulatory drugs (such as lenalidomide and pomalidomide), anti-CD38 monoclonal antibodies (such as daratumumab and isatuximab) or myeloablative melphalan and autologous stem cell transplantation, and also occurs following treatment with immunotherapeutics such as bispecific antibodies and/or CAR-T cells (targeting BCMA, FcRH5 or GPRC5D). This failure to achieve reliable cure in MM, despite the routine attainment of deep treatment responses against PCs, indicates the existence of important intra-tumor heterogeneity and the presence of rare drug-resistant MM cells with full tumorigenic capacity. To identify intra-clonal MM cell subpopulations, we examined BM samples from MM patients using a combination of FACS, single cell resolved immunoflourescence-FISH (IF-FISH), whole exome sequencing (WES), custom-capture targeted deep sequencing (CC-Seq) and single cell RNA sequencing (scRNAseq). We sought to characterize the genomic landscape and to track the dynamic interconnectedness of these intra-clonal subpopulations in patients over time. Using sequential FACS-IF-FISH studies of MM BM samples (n=140) we identified MM clone cellular subpopulations within the BM of MM patients that recapitulate the normal maturation stages between non-malignant post germinal centre B cells and mature PCs. These subpopulations include rare MM cells that resemble CD20 +CD38 -CD138 -Bcma -Irf4 - Xbp1s - B cells, CD20 -CD38 -CD138 - Bcma -Irf4 -Xbp1s - pre-plasmablasts and CD38 +CD138 -Bcma -/lowIrf4 -/+Xbp1s + pre-plasma cells, as well as predominating tumor-bulk CD38 +CD138 +Irf4 +Bcma +Xbp1s + plasma cells. Importantly, MM progenitor cells were typically found to possess all of the chromosomal translocations and copy number variations (CNV) present in MM PCs including whole chromosome ploidy changes, translocations such as t(11;14), t(4;14) and t(14;16), and secondary aberrations such as gain(1q), del(1p) and del(17p). To examine if MM progenitor cells also possess the single nucleotide variations (SNV) present within MM PCs, and are thus fully malignant, and to track MM progenitor subpopulations and their inter-relatedness within patients over time, we performed WES (n=60) plus targeted deep CC-Seq (n=210) on purified cell subpopulations from 17 patients, including 5 patients whom we sampled serially over >3 years. A median of 5 cellular subpopulations were isolated from each BM sample, enriched by factors of up to 1000-fold or more, and each subpopulation was then sequenced to a depth of 4,000-20,000x. Significantly, SNVs that were present in tumor-bulk MM PCs were also regularly detected in MM progenitor cells, although the low frequency of the clonal progenitor cells often prevented capture of complete SNV profiles. At the same time, analyses of serial BM samples from repeat donor patients taken pre- and post-treatment demonstrated that relapsing MM PCs typically did not appear to derive linearly from pre-treatment PCs, as the relapsing PCs commonly lacked a number of SNVs that had been present in pre-treatment PCs. Importantly, we instead observed that relapsed MM plasma cells appeared to consistently derive from MM progenitor cell populations, frequently B cells, as emergent relapse-specific SNVs that were exclusively detected in relapsing post-treatment PCs (but in not pre-treatment PCs) could often also be detected within pre-treatment CD138- CD38- progenitor cells isolated from BM samples that had been collected up to 3 years prior to relapse. We conclude that MM B cells and pre-plasma cell progenitors possess all of the clonal genomic aberrations required for full malignant potential. Tracking of these cells in vivo in patients over time by their SNV profile implicates them as the cellular origin of PC relapse and recurrent MM disease. We propose that cure of MM requires eradication of MM progenitor cells alongside plasma cells. We are currently conducting scRNA-seq and CITE-seq studies of primary MM samples to further characterize MM progenitor cells for gene and protein expression in order to define their optimal therapeutic targets.

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 score0.002
Threshold uncertainty score0.006

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.268
Teacher spread0.248 · 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
Published2023
Admission routes1
Has abstractyes

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