Dose-intensive cyclophosphamide, etoposide, cisplatin reinduction for relapsed/refractory aggressive non-Hodgkin lymphoma (r/r-aNHL).
Bibliographic record
Abstract
6548 Background: Approximately 2/3 r/r-aNHL patients (pts) respond to salvage R-ICE or R-DHAP, 1/2 proceed to autologous stem cell transplantation (ASCT), and 1/3 achieve 3 year (yr) progression-free survival (PFS); however, PFS is only 20% if prior Rituximab, time to progression (TTP)<1yr, or age-adjusted International Prognostic Index (aaIPI)=2-3 [JCO 2010;28: 4184-90]. Since 1995, we re-induced poor prognosis r/r-aNHL with dose-intensive Cyclophosphamide 5.25g/m2, Etoposide 1.05g/m2 and Cisplatin 105mg/m2 (DICEP), G-CSF days (d) 14-19, and apheresis d19,20, or 21. Rituximab was added d0,7 after 2006. Methods: We retrospectively analyzed 113 consecutive transplant eligible r/r-aNHL pts [diffuse large B-cell=95, transformed=9, peripheral T-cell=6, other=3] who received one cycle of DICEP (n=93) or R-DICEP (n=20) from 1995-2009. Patient characteristics included: median age=49yr (22-69); primary refractory=68; TTP<1yr=85; elevated LDH=60; ECOG 2-4=42; aaIPI 2-3=59; bulk>10cm=26. Results: Of 113 pts, 77% responded to DICEP and 90% (102) proceeded to ASCT. The median CD34+ cells collected was 19x106/kg (0.3-142). Early treatment-related mortality (TRM) occurred in 3 pts (2.7%), and 4 others developed late second cancers (MDS/AML=2). With 94 months median follow-up (26-194), 5 and 10yr OS rates for all 113pts are 48% and 41%, and PFS rates are 42% and 37%, respectively. 5 year PFS rates for ASCT vs no-ASCT are 46% vs 9%, for relapse aaIPI=0-1 vs aaIPI=2-3 are 53.3% vs 32.1% (p=0.01), and for TTP>1yr vs <1yr are 63.9% vs 35.2% (p=0.009). Other predictors of inferior PFS in univariate analysis were elevated LDH, ECOG 2-4, no response to DICEP; however, PFS for 27 pts who failed prior Rituximab-chemotherapy (56%) was similar to other 86 pts (38%) (logrank p=0.09). Predictors of PFS and OS in multivariate analysis include: TTP<1yr, elevated LDH, bulk, no response to DICEP. Conclusions: (R)DICEP is an effective re-induction regimen for r/r-aNHL, leading to excellent stem cell mobilization and a high chance of proceeding to ASCT. Long-term PFS and OS rates compare favourably to reports of other re-induction regimens, and a prospective multicentre trial is warranted.
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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) | 0.000 | 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) | 0.001 | 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".