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Lymphocyte Recovery At Day 28 Post-Transplant Is Predictive Of Relapse In Patients With Acute Myeloid Leukemia Transplanted With Peripheral Blood Stem Cell Grafts

2013· article· en· W2563604752 on OpenAlexaffabout
Fotios V. Michelis, Hans A. Messner, Jieun Uhm, Vikas Gupta, John Kuruvilla, Jeffrey H. Lipton, Dennis Dong Hwan Kim

Bibliographic record

VenueBlood · 2013
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineInternal medicineTransplantationUnivariate analysisMyeloid leukemiaPopulationLymphocyteHematopoietic stem cell transplantationGastroenterologySurgeryLeukemiaDonor lymphocyte infusionMultivariate analysis

Abstract

fetched live from OpenAlex

Abstract Allogeneic hematopoietic cell transplantation (HCT) is a potentially curative treatment option for patients with acute myeloid leukemia (AML). The impact of lymphocyte recovery on post- transplant outcomes has been suggested but has not been evaluated in a homogeneous population of AML patients. The present study attempted to evaluate the impact of lymphocyte recovery at 28 days post-HCT in a homogeneous population of 212 patients with AML that underwent HCT between 1999 and 2011 at the Princess Margaret Hospital, Toronto, Canada. All patients in the study group received peripheral blood stem cells as a graft source. Patients were divided into two groups: those with absolute lymphocyte count (ALC) ≥0.5x109/L (n=122, 57%) and those with ALC <0.5x109/L (n=90, 43%), at day 28 post-transplant. Median age of all patients was 49 years (range 18-70), 102 patients (48%) were female. HCT was performed in first complete remission (CR1) for 134 patients (63%) and second complete remission (CR2) for 78 patients (37%). Cytogenetics at diagnosis were available in 189 patients (89%). Donors were matched related (n=145, 68%) or matched unrelated (n=67, 32%). Myeloablative conditioning was administered to 131 (62%) patients, 81 (38%) received reduced-intensity conditioning (RIC) regimens. Median follow up duration among survivors was 49 months (range 7-120 months). Univariate analysis demonstrated overall survival (OS) was significantly different in favor of the group with ALC ≥0.5x109/L vs those with ALC <0.5x109/L (p=0.016) with a 3-year OS of 57% vs 39% respectively. The cumulative incidence of relapse (CIR) was significantly lower in the group with ALC ≥0.5x109/L vs those with the ALC <0.5x109/L (p=0.0002), with a 3-year CIR of 16% vs 37% respectively (Figure). Cumulative incidences of non-relapse mortality (NRM) were not significantly different between the two groups (p=0.22). Multivariable analysis for OS and NRM did not demonstrate ALC ≥0.5x109/L at 28 days post-transplant to be an independent prognostic factor. Multivariable analysis for CIR demonstrated that ALC ≥0.5x109/L at 28 days post-transplant is an independent prognostic factor decreasing the risk of relapse compared to ALC <0.5x109/L (p=0.015, HR=0.47, 95%CI=0.25-0.86), which implies that early lymphocyte recovery suggests lower risk of relapse post-transplant. Significant decrease in CIR was also seen with the occurrence of chronic graft-versus-host disease (GvHD) (p=0.00002, HR=0.29, 95%CI=0.16-0.51), while increased CIR was associated with the use of RIC regimens (p=0.03, HR=1.9, 95%CI=1.1-3.5). The present study concludes that lymphocyte recovery with ALC ≥0.5x109/L at day 28 post transplant is associated with decreasing risk of relapse in a homogeneous population of AML patients that underwent allogeneic peripheral blood HCT, but without overall survival benefit. Disclosures: No relevant conflicts of interest to declare.

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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.004
GPT teacher head0.191
Teacher spread0.187 · 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
Published2013
Admission routes2
Has abstractyes

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