Lenalidomide Overcomes Poor Prognosis Conferred by del13q and t(4;14) but Not del17p13 in Multiple Myeloma: Results of the Canadian MM016 Trial.
Bibliographic record
Abstract
Abstract The outcome of conventional therapy in MM is highly heterogeneous and appears to be largely dictated by the presence of recurrent genomic aberrations. Among these t(4;14), deletion 17p13 (TP53 locus), maf gene translocations and to a lesser extent del13q define a subgroup of patients with high risk disease. We here report on the efficacy (RR, PFS and OS) of lenalidomide and dexamethasone (len-dex) in relapsed MM patients according to their del13q, t(4;14) and del17p13 status. The MM016 is a multicenter single arm open label expanded access program for len in relapsed and refractory MM. Pts received dex orally (40mg, days 1–4; 9–12 and 17–20 for 4 cycles, then days 1–4 beginning with cycle 5) and len 25mg orally on days 1–21 of a 28 days cycle. FISH studies with commercially available probes detected the presence or absence of del13q, t(4;14)(p16;q32) and del17p13 on the interphase bone marrow aspirates. Blade criteria were used to define RR. PFS and OS were defined according to the international uniform response criteria. 159 patients with FISH results available for a least one of the genomic aberrations were included in this analysis: median age was 61 yrs (32–85), 50.3% had ISS stage II or III, median beta2-microglobulin was 3.055 mg/L (0.69–17.5), median number of prior treatments was 3 (1–6) with 50.3% previously treated with thalidomide, 43.7% with bortezomib and 73% with SCT. Del13q, t(4;14) and del17p13 were detected in 57 (37.3%), 21(19.1%) and 11 (11.6%) of patients, respectively. The overall response RR (CR+PR) to len-dex was 77.3% (14.4% CR and nCR) and 64.9% for the del13q, 76.2% for t(4;14) and 63.6% for del17p patients. The median PFS was 10.56 months (95%C.I.[6.65–14.48]). The median OS was not reached at the time of this analysis with 55.4% alive at a median follow-up of 16 months. PFS and OS were also similar when results were analyzed according to the presence or absence of del13q, t(4;14), ISS stage and prior SCT. In univariate analysis, prior thalidomide or bortezomib exposure, number of prior lines of therapy, depth of response (CR vs PR) and the presence of del17p13 by FISH did result in lower PFS and OS. However in multivariate analysis only the presence of 17p13 deletion and the depth of response correlated with PFS and OS (Table). Treatment with len-dex overcomes the poor prognosis conferred by t(4;14), high beta2-microglobulin and del13q in relapsed and refractory MM. Patients with deletion of the TP53 locus still fare very poorly despite a rapid initial response to len-dex. Confirmation of these results in patients with del17p13 with a larger prospective study is clearly warranted. Variable PFS OS HR, 95% CI p value HR, 95% CI p value t(4;14) 0.92(0.29–2.13) 0.920 1.26(0.46–3.42 0.641 Del 13 0.90 (0.44–1.83) 0.783 0.56 (0.25–1.29) 0.179 Del17p13 6.26 (2.48–15.77) 0.000 3.83(1.34–10.93) 0.012 ISS III 2.03 (0.42–9.82) 0.376 1.72 (0.39–11.33) 0.378 Prior Thal 1.12 (0.51–2.44) 0.768 1.22 (0.53–2.82) 0.633 Prior Bortez 1.29 (0.61–2.74) 0.501 1.66 (0.74–3.71) 0.215 Response ≤ PR vs CR 3.031 (2.14–4.27) 0.000 2.17 (1.50–3.12) 0.000
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".