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Record W4389233288 · doi:10.1182/blood-2023-173362

Primary or Secondary Plasma Cell Leukemia: Dismal Outcome Despite Modern Treatments

2023· article· en· W4389233288 on OpenAlexaffabout
Camille Tessier, Richard LeBlanc, Jean Roy, Sabrina Trudel, Julie Cote, Marc Lalancette, Jean‐Samuel Boudreault, Émilie Lemieux‐Blanchard, Rayan Kaedbey, Michel Pavic

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsCentre Hospitalier Universitaire de SherbrookeJewish General HospitalMcGill UniversityHôtel-Dieu de QuébecHôpital Charles-Le MoyneUniversité LavalUniversité de MontréalConcordia UniversityHôpital du Sacré-Cœur de MontréalHôpital Maisonneuve-RosemontUniversité de Sherbrooke
Fundersnot available
KeywordsPlasma cell leukemiaMedicineMultiple myelomaPlasma cell dyscrasiaInternal medicineIncidence (geometry)GastroenterologyBortezomibCohortRetrospective cohort studySurgeryImmunologyImmunoglobulin light chainAntibody

Abstract

fetched live from OpenAlex

BACKGROUND Plasma cell leukemia (PCL) is a rare and aggressive plasma cell dyscrasia, associated with short survival. This disease is usually divided into primary PCL (pPCL), when occurring de novo, or secondary PCL (sPCL), when a patient previously diagnosed with multiple myeloma (MM) undergoes leukemic transformation. Because of the very low incidence of PCL, only a few cohorts have been reported and thus, information on this disease is scarce. The goal of this study was to better understand PCL, particularly in regard to the characteristics of MM before leukemic transformation and the outcomes following modern treatments in both pPCL and sPCL. METHODS We performed a retrospective, multicenter study of patients diagnosed with PCL between January 2005 and December 2020 in eight institutions in the Province of Québec, Canada. Patients were identified through digital medical records. The 2013 International Myeloma Working Group (IMWG) diagnostic criteria for PCL (circulating plasma cells ≥ 20% and/or ≥ 2 x 10 9/L) were used to determine eligibility. Patients were excluded if they received treatment for another malignancy after the diagnosis of PCL. RESULTS We identified 99 eligible PCL patients, of whom 33 were pPCL and 66 were sPCL. Among significant clinical characteristics, both pPCL and sPCL patients showed a high frequency of thrombocytopenia, splenomegaly, and light chain isotype (Table I). At MM diagnosis, patients who eventually progressed to sPCL were much younger (median 61.8 years) than a typical MM cohort and many of them already demonstrated markers of poor prognosis, including elevated lactate dehydrogenase (LDH), elevated ß 2-microglobulin and complex cytogenetics (Table I). The median time between initial MM diagnosis and leukemic progression was 27.3 months (IQR, 12.7 - 41.6). The median number of lines of treatment prior to transformation was 2 (range 1 - 7). Overall, autologous stem cell transplant (ASCT; n = 28) or tandem ASCT-allogeneic stem cell transplant (ASCT-alloSCT; n = 4) did not result in longer time to PCL progression when compared to those who received chemotherapy alone (31.6 vs 22.9 months, p = 0.164). Median overall survival (OS) for pPCL and sPCL were respectively 18.3 months (95% CI, 0.0 - 39.0) and 1.2 months (95% CI, 0.9 - 1.5) (p < 0.001). When considering survival from MM diagnosis to death, the median OS for sPCL was 30.2 months (95% CI, 24.1 - 36.2). Patients with pPCL who underwent ASCT or tandem ASCT-alloSCT had a significantly longer OS than patients treated with chemotherapy alone (HR 0.27, 95% CI 0.11 - 0.64, p = 0.003). The impact of stem cell transplant on sPCL survival could not be assessed, as only one of 66 sPCL patients received this type of treatment. The median number of lines of treatment was 2 (range 1 - 9) for pPCL and 1 (range 0 - 5) for sPCL. Interestingly, patients receiving more recent regimens (2013-2020) did not have a better OS than patients receiving earlier treatments (2005-2012) (p = 0.391). When analysed separately, OS for pPCL or sPCL did not improve significantly in the later period (Figure 1). Clinical characteristics independently associated with poor outcomes were sPCL subtype and elevated LDH (respectively, HR 4.9, 95% CI 2.2 - 11.9, p < 0.001 and HR 2.4, 95% CI 1.0 - 5.7, p = 0.049). Although expression of CD19 and/or CD20 was not statistically significant in multivariable analysis, a trend towards improved survival was observed in patients expressing these markers (HR 0.4, 95% CI 0.1 - 1.1, p = 0.062). CONCLUSION This retrospective, multicenter study is one of the largest PCL cohorts reported and we are, to our knowledge, the first to investigate characteristics of MM patients before their transformation into sPCL. Although this subgroup is often described as a late-stage complication of heavily pretreated MM, our data suggest that sPCL originates from an already high-risk MM population rather than being the result of long-term selection of an aggressive clone. More information is however needed for early identification of MM patients at risk of PCL transformation. Finally, despite the use of newer chemotherapy regimens, we observed no improvement in OS in recent years, highlighting the urgent need for better treatment options for both pPCL and sPCL.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.043
GPT teacher head0.305
Teacher spread0.263 · 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".

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Citations2
Published2023
Admission routes2
Has abstractyes

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