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Expansion of Large Granular Lymphocytes Following Allogeneic Stem Cell Transplantation: Its Association with Graft-Versus-Host Disease and Graft-Versus-Leukemia Effect.

2009· article· en· W2582897585 on OpenAlexaffabout
Dong‐Hwan Kim, Ghuzayel Aldawsari, Chul Won Jung, Suzanne Kamel‐Reid, Janice Wright, Ahmed Galal, Vikas Gupta, John Kuruvilla, Jeffrey H. Lipton, Hans A. Messner

Bibliographic record

VenueBlood · 2009
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineHematopoietic stem cell transplantationTransplantationPopulationLeukemiaGastroenterologyGraft-versus-host diseaseInternal medicineIncidence (geometry)ImmunologySurgery

Abstract

fetched live from OpenAlex

Abstract Abstract 2253 Poster Board II-230 Background: Expansion of large granular lymphocytes (LGLs) following allogeneic hematopoietic stem cell transplantation (HSCT) has been reported infrequently, and data from large scaled population is still lacking. Expansion of LGLs following HSCT has been suggested to be associated either with the development of graft-versus-host disease (GVHD) associated with graft-versus-leukemia (GVL) effect or with viral infection such as CMV or VZV reactivation. Methods: A total of 500 consecutive patients who received HSCTs from related or unrelated donors between January 2000 and October 2007 at the Princess Margaret Hospital, Toronto, Canada were included in this retrospective study. LGL expansion has been defined as 1) increasing number of peripheral blood lymphocyte counts ≥ 3.0×109/L for at least 3 months, and 2) the predominance of LGLs in the peripheral blood smears. Cases with LGL expansion were investigated prospectively for immunophenotypic profiles and T-cell receptor RT-PCR for T-cell monoclonality. Results: Out of 500 recipients, 77 cases (15.4%) showed LGL expansion after HSCT. The median onset of LGL expansion was 312 days (95% C.I. 233-390 days). The 1-, 2- and 3-year(s) incidence of LGL expansion was 12.8±1.8%, 20.6±2.4%, and 25.7±2.9%, respectively. Compared to the patients without LGL expansion, improved transplant outcomes were observed in patients with LGL expansion: better overall survival (OS; 90% vs 46%, p<0.001), lower non-relapse mortality (NRM; 3% vs 38%, p<0.001), lower relapse incidence (10% vs 31%, p<0.001) and higher GVHD-specific survival (GSS; 97% vs 64%, p<0.001). Three risk factors were identified for the development of LGL expansion such as CMV serostatus of recipient, CMV reactivation, and occurrence of chronic GVHD. Higher incidence of LGL expansion was noted 1) in CMV seropositive recipients (CMV-R+) compared to CMV seronegative recipients (CMV-R-) regardless of CMV serostatus of the donor (p<0.001); 2) in patients experiencing CMV reactivation (p<0.001); 3) in patients developing chronic GVHD (p=0.007). Of interest, when dividing patients according to the recipient's CMV serostatus and the occurrence of chronic GVHD, the group with CMV-R+ and cGVHD+ showed the highest incidence of LGL expansion up to 46%, while those with CMV-R- and cGVHD+ showed intermediate risk of LGL expansion with 25% incidence, and those with CMV-R+/cGVHD- or with CMV-R-/cGVHD- showed only 3-6% incidence of LGL expansion. Conclusion: Expansion of LGLs following allogeneic HSCT is not uncommon, and strongly associates with favorable transplant outcomes including a lower relapse rate suggesting that LGLs may be involved in the mediation of a GVL effect. 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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.236
Teacher spread0.228 · 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".

Quick stats

Citations0
Published2009
Admission routes2
Has abstractyes

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