Bortezomib-Based Therapy, without Stem Cell Transplantation, for Newly Diagnosed Multiple Myeloma Patients with t(4;14).
Bibliographic record
Abstract
Abstract Abstract 3861 Poster Board III-797 Previous studies have reported that multiple myeloma (MM) patients (pts) with t(4;14) identified by FISH who are treated with a single ASCT as part of first-line therapy have worse outcomes than those lacking this adverse cytogenetic marker; two trials have described a median progression-free survival (PFS) of only 8-9 months and median overall survival (OS) of 18 mos in this setting (Chang H, et al. Bone Marrow Transplant 2005; 36: 793; Gertz M, et al. Blood 2005; 106: 2837). Since the novel agent bortezomib appears to have efficacy in patients with t(4;14), we designed a phase II protocol in which pts receive induction with pegylated liposomal doxorubicin, bortezomib and dexamethasone (DBD) x 4 cycles, followed by post-induction therapy with oral cyclophosphamide 300 mg/m2 days 1,8 15, 22 with bortezomib 1.5 mg/m2 days 1,8,15 and prednisone 100 mg q 2 days of a 28-day cycle (CyBor-P) x 8 additional cycles. Maintenance therapy with dexamethasone (dex) 40 mg/month was then administered until progression. Although elective stem cell collection was recommended after induction, routine ASCT was not performed in the absence of disease progression. Between February 2008-August 2009, 153 newly diagnosed MM pts were screened for t(4;14) in 7 Canadian centers, and 14 (9%) were found to be positive by FISH. Four did not meet the critieria for symptomatic MM, 2 had received ≥ 2 mos of prior therapy while 8 were entered onto study. One of these was later determined to have a variant abnormality of chromosome 4 but not t(4;14) and underwent ASCT after induction; this pt is included in the safety analysis only. The median age was 56 (49-69) and 43% were male. The median percent nuclei positive for t(4;14) was 30% (10-41%), serum β2-microglobulin 394 nmol/L (190-1695) and albumin 34 g/L (28-39); one pt had ISS stage 1,3 had stage 2 and 3 had stage 3 MM. Immunoglobulin subtype included IgGκ in 2 and IgAκ in 2 and IgAλ in 3. All pts have completed DBD induction, with the best response in the 7 evaluable pts consisting of PR in 2 and VGPR in 5; one in PR progressed quickly after induction and has achieved nCR after D-PACE followed by ASCT and lenalidomide maintenance. Four are receiving post-induction therapy with CyBor-P currently, with VGPR in 3 and PR in 1. No SAEs or grade3/4 neutropenia or thrombocytopenia has occurred; other toxicities were mild, with grade 2 skin toxicity noted in 37.5% and grade 2 neurotoxicity observed in 7.4%. All pts are alive at a median follow-up (F/U) of 8 mos (2-11), and 6 (86%) are free of progression. We conclude: 1) the incidence of t(4;14) in newly diagnosed MM pts appears to be lower than the 15% anticipated; 2) 28% of newly diagnosed pts with this entity have asymptomatic MM; 3) preliminarily, DBD induction has resulted in ≥ PR in all pts although 1 progressed quickly; 4) this bortezomib-based regimen is very well-tolerated; 5) longer F/U is required to determine the PFS and OS with this approach. Disclosures: Reece: Ortho Biotech: Honoraria, Research Funding, Speakers Bureau; Celgene: Honoraria, Research Funding, Speakers Bureau. Off Label Use: Use of bortezomib as part of initial therapy with pegylated liposomal doxorubicin and dexamethasone. Piza Rodriguez:Ortho Biotech: Honoraria. Belch:Ortho Biotech: Honoraria, Research Funding. Shustik:Ortho Biotech: Honoraria. Bahlis:Ortho Biotech: Honoraria; Celgene: Honoraria. White:Ortho Biotech: Honoraria, Research Funding. Chen:Ortho Biotech: Honoraria. Kukreti:Celgene: Honoraria. Stewart:Genzyme, Celgene, Millenium, Proteolix: Honoraria; Takeda, Millenium: Research Funding; Takeda-Millenium, Celgene, Novartis, Amgen: Consultancy. Trudel:Ortho Biotech: Honoraria, Research Funding.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".