Comparable Disease-Free and Overall Survival After “Well-Matched” Unrelated Donor and Matched Sibling Donor Transplantation in Acute Myeloid Leukemia with Adverse Risk Karyotype in First Complete Remission: A Report From the Acute Leukemia Working Committee of the Centre for International Blood and Marrow Transplant Research.
Bibliographic record
Abstract
Abstract Abstract 526 In patients with acute myeloid leukemia (AML) in first complete remission (CR1), the indications for matched sibling donor (MSD) transplants and unrelated donor (URD) haemopoietic stem cell transplantation (HSCT) are different. We sought to determine the prognostic impact of donor type on the outcomes of AML with adverse risk karyotype in CR1, a high-risk AML population considered as a standard indication for MSD and URD HSCT. We evaluated the outcomes of 584 patients undergoing allogeneic HSCT for AML with adverse risk karyotype in CR1 between 1995 and 2006, reported to the CIBMTR. Adverse risk karyotype was defined according to SWOG/ECOG classification. Cytogenetics abnormalities were further classified as: complex karyotype (3 or more abnormalities), 32%; and Non-complex divided as abnormal chromosome 7, 25%; chromosome 5, 9%; MLL gene rearrangements, 18%; t (6;9), 5%; and others, 10%. 226 patients underwent MSD and 358 URD. URD were classified based on high resolution typing as:” well matched” [n=254 (71%)] with no known disparity at HLA A, B, C, DRB1; and, “partially matched” [n=104 (29%)] with one locus known or likely mismatched. Previous MDS was present in 19% and 14% had therapy-induced (t-AML). Conditioning regimens were myeloablative and reduced intensity in 74% and 26%, respectively. At 3 years treatment-related mortality (TRM) incidence was 28% (95% CI 24-31); relapse 36%(32-40); disease-free survival (DFS) 36%(32-41) and overall survival (OS) 39%(35-44). Multivariate analyses are summarized in the table. “Well matched” URD and MSD yielded similar DFS and OS, while outcomes were significantly inferior for “partially matched” URD. Cytogenetically defined subsets had similar outcomes. Evaluated as a time-dependent covariate, chronic GVHD had a significantly lower risk of relapse (RR 0.68, p=0.046), while acute GVHD had no effect (RR 0.99, p=0.96). “Well matched” URD and MSD lead to similar DFS and OS in AML CR1patients with adverse risk karyotype. The pool of patients who may benefit from graft-vs-leukemia effect generated with allogeneic HSCT may be considerably expanded with “well-matched” URD HSCT. If a suitable MSD is not availabel, “well-matched” URD should be strongly considered where a MSD HSCT would otherwise be undertaken. Disclosures: No relevant conflicts of interest to declare.
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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 | 0.001 |
| 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".