Autologous Stem Cell Transplantation Is Superior to Myeloablative Allogeneic SCT as a Salvage Therapy for Patients with Refractory/Relapsed Transformed Lymphoma
Bibliographic record
Abstract
Abstract There is no literature comparing the outcome of autologous vs allogeneic SCT as a salvage therapy for refractory/relapsed transformed lymphoma. We therefore evaluated 73 patients with refractory/relapsed transformed and composite lymphoma (TNHL) treated with either autologous (AUTO) (n=33, 45%) or myeloablative allogeneic (ALLO) (n=40, 55%) SCT between Jan 89 and Oct 07 in this single center, population based study. We hypothesized that patients would fare better with allo SCT due to lower relapse risk. The median follow up for surviving patients treated with AUTO SCT is 21 m (range: 3–174 m) and with ALLO 48 m (rang: 12–166 m). Baseline characteristics for the 2 groups are outlined in the table. The ALLO group had a significantly higher proportion of patients with advanced stage NHL and IPI of 2 or more at the initial diagnosis. The 2- and 5-y OS for the whole group is 55% and 46% respectively. The 1-y cumulative incidence (CI) of relapse and therapy related mortality (TRM) for the whole group is 30% and 26% respectively. Twenty-six of 33 patients (79%) treated with AUTO and 13 of 40 pts (33%) treated with ALLO are alive. OS for the AUTO and ALLO groups at 2-y is 72% vs 45% and at 5-y 72% vs 33% respectively, (p=0.005). EFS for the AUTO and ALLO groups at 2-y is 47% vs 38% and at 5-y 33% vs 29% respectively, (p=0.39). The risk of disease relapse at 5 yr is non-significantly lower in the ALLO compared to the AUTO group at 36 vs 57% (p=0.1). CI of disease relapse for the AUTO and ALLO groups at 1-y is 31% vs 23% and at 5-y 57% vs 36% respectively, (p=0.1). TRM was however significantly lower for the AUTO compared to the ALLO group with 1- and 5-year CI - TRM at 10% vs 33% and 10% vs 35% respectively, (p=0.008). Evaluation of these 2 cohorts suggest that the higher TRM of allografting in this group of lymphoma patients is not overcome by a compensatory improvement in relapse risk. Use of myeloablative ALLO SCT did not result in superior OS when compared to use of AUTO SCT for patients with refractory/relapsed transformed lymphoma. Moreover, we did not observe a plateau in the survival curve with use of ALLO SCT. Whether this situation may be improved with use of AUTO followed by non-myeloablative or reduced intensity ALLO SCT remains to be determined. Table 1: Baseline characteristics of the autologous and allogeneic groups. Parameter AUTO group (%) ALLO group (%) p value *at diagnosis Patient number 33 (45) 40 (55) Gender: Male/Female; Ratio 22/11; 2:1 27/13; 2:1 0.88 Age (years): Median/Range 53/25–70 y 44/30–85 y 0.34 Prior rituximab therapy 19 (58) 14 (35) 0.12 Stage: * limited/advanced 5/22 (15/67) 3/36 (8/90) 0.009 IPI (number of factors)* 0.03 0/1 16 (48) 18 (45) 2/3 7 (21) 18 (45) 4/5 0 (0) 2 (5) OS for patients with transformed NHL post autologous and myeloablative allogeneic SCT OS for patients with transformed NHL post autologous and myeloablative allogeneic SCT CI of TRM for patients with transformed NHL post autologous and myeloablative allogeneic SCT CI of TRM for patients with transformed NHL post autologous and myeloablative allogeneic SCT
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".