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Incidence and Characteristics of Secondary Myelodysplastic Syndrome Developing During Lenalidomide-Based Regimens In Relapsed and/or Refractory Multiple Myeloma Patients

2010· article· en· W2587621549 on OpenAlexaff
Donna Reece, Esther Masih‐Khan, Rashmi S. Goswami, Sharon Fung, David Barth, Christine Chen, Vishal Kukreti, Haowei Sun, Saima Dean, Suzanne Trudel

Bibliographic record

VenueBlood · 2010
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversity of TorontoOntario Institute for Cancer ResearchUniversity Health NetworkPrincess Margaret Cancer Centre
Fundersnot available
KeywordsLenalidomideMedicineMultiple myelomaInternal medicineMelphalanCyclophosphamideOncologyPrednisoneIncidence (geometry)SurgeryGastroenterologyChemotherapy

Abstract

fetched live from OpenAlex

Abstract Abstract 1877 Secondary myelodysplastic syndrome and acute myelogenous leukemia (2° MDS/AML) are well-known complications that can occur after alkylating agent therapy for multiple myeloma (MM) or other cancers. However, until recently, the survival of MM pts was relatively short, a feature which may have contributed to a relatively low reported incidence of this complication in MM. The introduction of novel agents has improved survival rates of MM pts; lenalidomide (len) + dexamethasone–currently approved for MM after one prior therapy– is one of the main regimens that has contributed to this finding. Since alkylating agents—either given orally or as part of high-dose melphalan + ASCT—still remain an important component of myeloma therapy, more pts may survive to be at risk for 2° MDS/AML. Using the MM database at PMH, we retrospectively reviewed the charts of pts with relapsed/refractory (rel/ref) MM treated with len-based regimens to determine the incidence and characteristics of 2° MDS/AML that developed during this therapy. Between 06/2006—11/2009, 230 pts with rel/ref MM received ≥ 1 cycle of len + corticosteroids (195 pts), len alone (3 pts) or cyclophosphamide + len + prednisone (CPR) (32 pts). 2° MDS/AML developed in 6 (2.6%) at a median of 76 months (range 43–190) from the time of diagnosis of MM and 61 (21-168) months from the time of initiation of len regimens. The cytogenetic changes were variable, but 4 pts had deletions of all or part of chromosome 5. The characteristics of pts, at the time of starting len, in those who later developed (+) or did not develop (-) 2° MDS/AML during therapy, are shown in Table 1. The median number of len cycles given was 21 (9-35) versus 9 (1-50) and Grade 3–4 neutropenia occurred during len in 50% versus 54% in those with and without 2° MDS/AML, respectively. G-CSF was used in 50% of pts who developed MDS compared with 54% who did not. The cumulative incidence of 2° MDS/AML (95% CI) was 1% (0-5 %) at 1 yr, 3% (1-9 %) at 8 yrs and 7% (2-19 %) at 12 yrs from the time of diagnosis of MM, while the cumulative incidence was 1% (0-5 %) at 1 yr, 4% (1-9 %) at 2 yr and 9% (4-12%) at 3 yrs after commencing len-based regimens. We conclude: 1) pts developing MDS/AML while on len regimens were slightly older and had less often received prior ASCT, thalidomide and bortezomib; 2) the pattern of MDS development is consistent with the hypothesis that extensive exposure to cytotoxic agents, particularly oral alkylating agents (which had been given to 5/6 [83%] of affected pts), increases the risk of 2° MDS/AML; 3) although len is effective therapy in some pts with MDS, its use does not protect heavily pre-treated MM pts from this complication. Disclosures: Reece: Celgene: Honoraria, Research Funding. Off Label Use: Combination of lenalidomide and cylophosphamide plus prednisone in relapsed and refractory myeloma patients. Chen:Celgene Corporation: Consultancy, Honoraria, Research Funding. Kukreti:Celgene: Honoraria. Trudel:Celgene: Honoraria.

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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.012
GPT teacher head0.249
Teacher spread0.237 · 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

Citations7
Published2010
Admission routes1
Has abstractyes

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