Real-World Outcomes of Upfront Autologous Hematopoietic Stem Cell Transplantation in Patients With Newly Diagnosed Multiple Myeloma With Deletion 17p
Bibliographic record
Abstract
• Retrospective study of 115 patients with NDMM with del(17p) undergoing upfront auto-HCT. • Median PFS was 19.9 months and median OS was 71.5 months. • Better PFS associated with MRD-negative CR post-transplant and maintenance therapy. • Dismal outcomes with concurrent del(17p) and t(4;14). Despite tremendous advancements in multiple myeloma (MM) therapeutics, outcomes remain heterogeneous, heavily influenced by clinical and cytogenetic factors. Among these, deletion of the short arm of chromosome 17 (del(17p)) is a strong predictor of poor prognosis. The aim of this study was to evaluate real-world outcomes in patients with newly diagnosed MM (NDMM) with del(17p) undergoing upfront autologous hematopoietic stem cell transplantation (auto-HCT). We conducted a single-center retrospective analysis of patients with NDMM who underwent upfront auto-HCT at MD Anderson Cancer Center between 2008 and 2018. Primary endpoints were progression-free survival (PFS) and overall survival (OS), with secondary endpoints being hematological response and measurable residual disease (MRD) status postauto-HCT. MRD status in the bone marrow biopsy was evaluated using 8-color next-generation flow cytometry with a sensitivity of 1/10 –5 cells. One hundred and fifteen patients were included (55% male). Median age at auto-HCT was 62 years (range 34 to 83). The median del(17p) clone size was 20%, with 51 (53%) patients having clone sizes >20% and 15 (15%) patients having clone sizes >55%. Additional high-risk cytogenetic abnormalities included t(4;14) in 15 (13%) patients, t(14;16) in 8 (7%) patients, and 1q21+ in 25 (22%) patients. After induction, 10% of patients achieved ≥ CR, and 50% achieved ≥ VGPR, with 25% having MRD-negative ≥ VGPR. Post-transplant, 42% achieved ≥ CR, and 83% achieved ≥ VGPR as best response, with 55% (48/87) having MRD-negative ≥ VGPR. With a median follow-up of 31.4 months (range 3.1 to 199.1), median PFS and OS for the entire cohort were 19.9 and 71.5 months, respectively, and 5-year OS was 53%. Concurrent del(17p) and t(4;14) were associated with significantly worse outcomes, with median PFS and OS of 11.5 and 22.4 months, respectively. In multivariable analysis (MVA), female sex was associated with worse PFS (HR [95% CI] 2.87 [1.75 to 4.72], P < .001), while MRD negative CR post-transplant (0.35 [0.18 to 0.68], P = .002) and maintenance therapy (0.46 [0.27 to 0.77], P = 0.003) were associated with better PFS. In MVA for OS, female sex (2.22 [1.18 to 4.17], P = 0.013) and the presence of t(4;14) (2.55 [1.09 to 5.95], P = 0.030) were associated with worse OS, whereas Karnofsky Performance Status of ≥90 (0.47 [0.23 to 0.94], P = 0.034) was associated with better OS. This study affirms del(17p) as a high-risk abnormality with unfavorable outcomes despite modern therapies. The co-occurrence of del(17p) and t(4;14) was associated with particularly poor outcomes. Novel approaches are needed for this high-risk subgroup.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".