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Record W2553090920 · doi:10.1182/blood.v118.21.494.494

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

2011· article· en· W2553090920 on OpenAlexaff
Erica D. Warlick, Brian McClune, Tanya L. Pedersen, Kwang W Awn, Joseph H. Antin, Jean‐Yves Cahn, Marcos de Lima, Vikas Gupta, David I. Marks, Donald Bunjes, John F. DiPersio, Steven M. Devine, Daniel J. Weisdorf

Bibliographic record

VenueBlood · 2011
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineInternal medicineCohortGraft-versus-host diseaseTransplantationTyrosine-kinase inhibitorHematopoietic cellChronic myelogenous leukemiaHematopoietic stem cell transplantationLeukemiaGastroenterologyOncologySurgeryCancerStem cellHaematopoiesis

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.024
GPT teacher head0.256
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2011
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