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Record W4389231558 · doi:10.1182/blood-2023-187458

Analysis of the Impact of Whole Blood and T-Cell Donor Chimerism after Allogeneic Stem Cell Transplant

2023· article· en· W4389231558 on OpenAlexaffabout
M Radford, Alejandro Garcia‐Horton, Rohail Badami, Elaine Jin, Nida Javed Usmani, Daria Grafodatskaya, M. Elizabeth McCready, Dina Khalaf, Irwin Walker, Brian Leber, Kylie Lepic, Gregory R. Pond, Tobias Berg

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsPopulation Health Research InstituteJuravinski Cancer CentreHamilton Health SciencesJuravinski HospitalCentre Hospitalier Universitaire Sainte-JustineMcMaster UniversityHamilton Regional Laboratory Medicine Program
Fundersnot available
KeywordsMedicineInternal medicineStem cellTransplantationMyeloid leukemiaOncologyHematopoietic stem cell transplantationHaematopoiesisMyelodysplastic syndromesMyeloidImmunologyGastroenterologyBone marrowBiology

Abstract

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Background: Allogeneic stem cell transplant (alloSCT) is one of the few currently available therapies to cure acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS). Positive outcomes are dependent on engraftment of donor cells to provide hematopoiesis as well as a graft-versus-tumor effect. Measurement of whole blood (WB) and T-cell (TC) chimerism at routine intervals post alloSCT allows for monitoring of engraftment. Development of mixed donor chimerism (MC) may indicate impending graft failure or disease relapse. The ideal frequency for chimerism measurements as well as the role of WB versus TC chimerism remains unclear. In this study, we analyzed the impact of WB versus TC mixed chimerism on survival outcomes in patients with AML and MDS. Furthermore, we studied baseline factors associated with the development of MC. Methods: In this retrospective analysis, adults with AML or MDS who received an alloSCT between January 1, 2016 and February 1, 2022 that had at least 1 donor chimerism measured on Day 30 (D30), Day 60 (D60), Day 90 (D90) at Juravinski Hospital and Cancer Centre (Hamilton, ON, Canada). Baseline demographic and transplant-related characteristics were collected. AML and MDS diagnoses were based on WHO 2016 classification of myeloid neoplasm and acute leukemia. Conditioning intensities were classified according to CIBMTR definitions. A total of 271 transplants were completed during the study period for AML or MDS. 128 were excluded from the analysis (chimerism testing not performed (n=121), second transplants (n=7)). We analyzed a total of 143 patients with median age of 63 years (19 - 76) who were transplanted for AML (n=105) and MDS (n=38). Donors were HLA-matched siblings (MRD, n=26), unrelated donors (MUD (8/8 or 7/8), n=85) or haploidentical related donor (MMRD, n=32). All patients except one received peripheral blood stem cell grafts. For alloSCT, 20 % of patients received myeloablative conditioning (MAC) and 80% received reduced-intensity conditioning (RIC). Complete chimerism (CC) was defined as ≥95%, whereas MC was defined as ≤95%. All chimerism measurements were measured using a PowerPlex® 16 System (Promega) (Hamilton Regional Laboratory Medicine Program, Hamilton, ON). Results: In our cohort, OS at 2 years was 57% and RFS 49%. Of the baseline factors, only disease-risk based on ELN 2022 for RFS with a hazard ratio (HR) of 1.43, 95% CI [0.83, 2.49] for adverse risk and HR 0.53 95% CI [0.23, 1.03] (p=0.03) for favourable risk. WB MC was detected in 22%, 22%, 23% of patients on D30, D60, and D90, respectively. TC MC was detected in 48%, 46%, and 43% of patients on D30, D60, and D90, respectively. WB MC had a strong negative impact on RFS, with a HR of 2.81, 95% CI [1.69, 4.66; p<0.001] on D30, 3.07, 95% CI [1.67, 5.66; p<0.001] on D60 and 4.77, 95% CI [2.47, 9.22; p<0.001] on D90. The influence of TC MC on RFS was also significant at all time points. Of 101 patients who were alive and did not have a relapse prior to D90 and had D30 chimerism and D90 chimerism evaluated, the patients who had a mixed WB and TC chimerism on D90 had a HR of 6.13, 95% CI [2.23, 16.85] and HR 2.73, 95% CI [1.24, 5.98] for RFS, which was statistically significant even after adjusting for known information of D30 WB/TC chimerism status (Table 1). WB MC had a strong negative impact on OS with a HR of 2.67, 95% CI (1.54, 4.64; p=0.001) on D30, 2.81, 95% CI (1.47, 5.38; p=0.002) on D60 and 4.78, 95% CI (2.47, 9.24; p<0.001) on D90. Again, the later time points remained statistically significant, when adjusting for known D30 chimerism status. The influence of TC MC on OS was also significant at all time points, however only a non-significant trend remained at later time points when adjusting for D30 TC chimerism (Table 2). We analyzed baseline factors predictive for D30 chimerism. For WB chimerism, only donor source remained statistically significant (p=0.038) with MMRD having a lower HR for MC 0.39, 95% CI [0.11, 1.41] and MRD having a higher HR for MC 2.33, 95% CI [0.9 - 5.99]. Conclusions: Our data confirm that a mixed chimerism as early as D30 post-alloSCT can have a detrimental impact on outcomes (RFS and OS) in alloSCT. Patients receiving haploidentical alloSCT had a lower risk to develop mixed chimerism in our cohort. These dismal outcomes of patients with mixed chimerism in our cohort provides a strong rationale to study interventions such as novel maintenance strategies or donor-lymphocyte infusions in this patient group.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.001
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
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 head0.012
GPT teacher head0.260
Teacher spread0.249 · 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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Citations1
Published2023
Admission routes2
Has abstractyes

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