Primary or Secondary Plasma Cell Leukemia: Dismal Outcome Despite Modern Treatments
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".