Comparison of Outcomes of Elderly Patients with Acute Myeloid Leukemia (AML) in CR1 Receiving Reduced Intensity Allogeneic Stem Cell Transplantation (RICT) from Matched Sibling (MSD) or Unrelated Donors (URD)
Bibliographic record
Abstract
Abstract BACKGROUND. Comparative data on the results of RICT from MSD or URD in elderly patients (pts) are scarce. We describe outcomes of AML CR1 pts > 50 years (yrs) allografted from MSDs or URDs as part of a multinational, prospective, controlled study (NCT00342316), which aims to compare RICT vs chemotherapy. The study started in 2004 and completed enrollment (339 pts) in 2016. In this report, we compare the impact of MSD or URD and therefore we focus only on the time period when both MSD and URD transplants were performed within the study (2010-2016). PATIENTS AND PROCEDURES. Included were 136 pts (53 females, 83 males). Median age was 64 (50-70) and 62 (52-70) yrs in URD and MSD groups, respectively. Pts were high (54%) or intermediate (IR) (46%) risk, donors were URD (n=81), and MSD (n=55). Prespecified high risk criteria were: poor risk cytogenetics, secondary or therapy-related AML, blasts >15% after induction #1, or FLT3-ITD+/NPM1-. Eight URDs were STATISTICS Overall survival (OS) and leukemia free survival (LFS) after Tx were estimated by means of the Kaplan-Meier method, whereas cumulative incidence functions were used for non-relapse mortality (NRM) and relapse incidence. The Cox regression model was used to analyze incidence rates. RESULTS. Median time from CR to Tx in URD and MSD groups was 4.0 (range 1.1-8.7), and 3.1 (0.8-10) mo, respectively (p Median follow-up from Tx for living pts was 23 (4-78) and 25 (3-82) mo for URD and MSD pts, respectively. During follow-up, 36 pts relapsed, 24 URD (30%) and 12 MSD (22%) and 47 pts died, 23 URD (28%) and 24 MSD (44%). Causes of deaths in the URD and MSD groups were AML (n=18,11), GvHD (1,5), infections (2,5) and other (2,3). Estimated 2-year OS for all pts was 64% (95% CI 54-72%). For the subgroups of high and IR risk pts OS at 2 yrs was 49% (36-61%) and 82% (69-90%), respectively. For MSD and URD groups OS were 53% (38-67%) and 72% (60-81%); hazard ratio (HR) 1.66 (0.94-2.95; p=0.08). If adjusting for confounders [risk category (high vs . IR), country (Canada/other vs . Sweden), gender, age] the HR for OS was 1.57 (0.80-3.08; p=0.19). LFS was similar in URD and MSD groups: 53% (38-66%) vs 63% (50-73%); adjusted HR 1.21 (0.65-2.26; p=0.54). The 2-yrs cumulative incidence (CI) of relapse (NRM competing) was 23% (13-35%) in the MSD group and 32% (21-43%) in the URD group; adjusted HR 0.71 (0.32-1.60; p=0.41). The 2-yrs CI of NRM (relapse competing) was 24% (13-37%) in the MSD group and 5% (2-11%) in the URD group, adjusted HR 3.45 (1.03-11.6; p=0.045). Grade III-IV acute GvHD and chronic extensive GvHD were less common in the URD group, 5% vs 21% (p=0.009) and 10% vs 45% (p CONCLUSION. No significant differences in OS, LFS or relapse rate were found between MSD and URD transplants. However, RICTs from URDs were associated with less acute and chronic GvHD, and less NRM. These findings may be explained by lower donor age, more chemo, longer time from CR to Tx in MUDs and probable contribution of ATG. Our data suggest that URD RICT may be used safely in older patients with AML with satisfactory OS. Disclosures Kiss: Otsuka: Membership on an entity's Board of Directors or advisory committees, Other: meeting attendance support, Research Funding; Alexion: Membership on an entity's Board of Directors or advisory committees, Research Funding. Delage: BMS: Research Funding; Pfizer: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees; AbbVie: Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding. Ritchie: Amgen Inc.: Honoraria. Sabloff: Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Brune: Novartis: Other: reimbursement for lecture.
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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) | 0.000 | 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".