Older Adults with Chronic Myelogenous Leukemia (CML), During the Tyrosine Kinase Inhibitor (TKI) Era, Can Be Successfully Treated with Reduced Intensity Conditioning (RIC) Hematopoietic Cell Transplant (HCT) Using Sibling or Unrelated Donors: A Center for International Blood and Marrow Transplant Research (CIBMTR) Analysis
Bibliographic record
Abstract
Abstract Abstract 494 The introduction of tyrosine kinase inhibitors (TKI) and advent of RIC and non-myeloablative (NMA) conditioning hematopoietic cell transplants (HCT) have changed and the therapeutic strategy for patients with CML. We analyzed the post HCT outcomes of CML patients aged 40 and older undergoing RIC/NMA HCT in 2001–2007. Detailed information regarding pre HCT TKI use or rationale for timing of transplant was not available; however, the analysis time period captures the entry of TKIs into clinical practice. Outcomes were compared between age cohorts of 40–49, 50–59, and ≥ 60 years. Overall survival (OS), Day +100 acute graft versus host disease (aGVHD) grades II-IV, chronic (cGVHD), transplant-related mortality (TRM), relapse, and disease-free survival (DFS) were analyzed with multivariate analysis testing the impact of age, gender, disease status at HCT (CP1vs. CP2/accelerated phase (AP) vs. blast phase (BP), sex match, HLA match, GVHD prophylaxis, and conditioning intensity (RIC versus NMA as described by Bacigalupo et all 2009) on outcomes. A total of 306 CML patients underwent HCT at 125 centers: 117 (38%) aged 40–49; 119 (39%) aged 50–59; and 70 (23%) aged ≥ 60. At HCT most patients in the 40–49 age cohort were in CP1 (72%), while only 44% of patients aged 50–59 and 31% aged ≤ 60 were in CP1. Interval from diagnosis to HCT for CP1 patients was similar across age groups with a large percentage of each age cohort undergoing HCT ≥ 2 years (32%, 40%, and 45%, respectively). Sibling donors were the stem cell source for 56% of those aged 40–49; older cohorts had a higher percentage of unrelated donors (58 and 60%, respectively). Primarily peripheral blood grafts (78%, 80% and 90%) and RIC (78%, 76% and 70%) were used across age groups, respectively. GVHD prophylaxis was similar. Three year OS and cGVHD, Day +100 grade II-IV acute GVHD, and 1 year TRM were similar in all age cohorts. Three year relapse incidence increased and DFS decreased with age. Importantly in analysis of CP1 patients only, relapse and DFS were similar in each age cohort.Table 1:Univariate AnalysisOutcomeAge 40–49 Probability (95% CI)Age 50–59 Probability (95% CI)Age ≥ 60 Probability (95% CI)P-valueEntire CohortOSA54% (44–64)52% (42–61)41% (30–54)0.26aGVHDB II-IV26% (18–34)32% (24–40)32% (21–43)0.53cGVHDA58% (47–68)51% (41–61)43% (33–55)0.19TRMC18% (11–26)20% (13–27)13% (6–22)0.43RelapseA36% (27–46)43% (34–52)66% (53–77)0.001DFSA35% (26–45)32% (24–41)16% (7–27)0.01CP1 OnlyRelapseA34% (23–46)42% (28–56)51% (29–72)0.40DFSA43% (31–55)36% (23–51)39% (19–61)0.81A=3 year; B=Day +100; C=1 year Multivariate analysis confirmed the significant adverse impact of advanced CML (AP/CP2+ and BP) at HCT, NMA conditioning intensity, male gender, and older age on relapse and DFS. Overall survival was not impacted by age, but was significantly worse with advanced CML at HCT. (Table 2)Table 2:Multivariate AnalysisOutcomeRR95% CIP valueRelapse:Age:10.69–1.6420.000340–491.0641.441–3.60750–592.28≥60Disease Status:10.1319–0.9170.01CP11.3350.0036–1.403AP/CP2+2.823BPConditioning Intensity10.222–0.469<0.0001NMA0.323RICGender10.397–0.830.0032Male0.574FemaleOverall SurvivalAge:10.55–1.2260.4240–490.8210.683–1.61850–591.051≥60Disease Status:11.206–2.47<0.0001CP11.7263.199–10.0740.42AP/CP2+5.677BPGender:10.0189–0.4810.019Male0.671Female These data indicate that HCT is safe in older patients with CML with equivalent acute and chronic GVHD, TRM, and OS across age cohorts. Relapse increased in patients receiving NMA conditioning and in those aged 60 and above; most of whom had advanced disease. However, for HCT during CP1 relapse risks and DFS were similar, regardless of age. Allogeneic HCT using RIC conditioning for older patients with CP1 CML can control relapse with acceptable toxicity and survival. Comparison of outcomes with second line TKI versus HCT are as yet unreported but these favorable findings indicate appropriate consideration of HCT for older patients with CML. Disclosures: Gupta: Incyte: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".