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Influence of Killer Immunoglobulin-Like Receptor (KIR) Matching on Achieving T Cell (CD3+) Complete Donor Chimerism (CDC) in Related Donor Nonmyeloablative Allogeneic Hematopoietic Stem Cell Transplantation (NMHSCT).

2006· article· en· W2979973001 on OpenAlexaff
Ronald Sobecks, Edward J. Ball, Medhat Askar, Karl S. Theil, Lisa Rybicki, Dawn Thomas, Jennifer Bates, Matt Kalaycio, Steven Andrèsen, Brad Pohlman, Robert M. Dean, John Sweetenham, Laura Bernhard, Kelly Cherni, Jaroslaw P. Maciejewski, Brian J. Bolwell

Bibliographic record

VenueBlood · 2006
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsFludarabineHematopoietic stem cell transplantationHuman leukocyte antigenImmunologyTransplantationCD3GenotypeBiologyT cellMedicineInternal medicineImmune systemAntigenGeneticsChemotherapyCD8CyclophosphamideGene

Abstract

fetched live from OpenAlex

Abstract The reactivity of NK cells and some T cell populations is regulated by KIR interactions with HLA class I molecules. Such interactions have been suggested to influence outcomes after myeloablative allogeneic HSCT. However, in NMHSCT the effect of KIR interactions on outcomes including the development of CDC has not been well described. We analyzed 51 pts who received related donor NMHSCT at our institution from 1/10/00–10/25/05. All pts received fludarabine 30 mg/m2/d x 3 days followed by total body irradiation 200 cGy (n=35) or 400 cGy (n=16) for conditioning. The median age was 54 (range, 21–64). Short tandem repeat analysis for T cell (CD3+) chimerism was performed on peripheral blood and CDC was defined as achievement of >95% DNA of donor origin in the CD3+ T cells. 37 (73%) of patients achieved CDC at a median time of 3.3 mos (range, 0.4–11.2). KIR genotypes were determined for recipients by PCR-rSSOP analysis. Donor HLA KIR ligands were categorized as: HLA-Cw groups C1 (+ or −); C2 (+ or −); HLA-Bw4 (+ or −); and HLA-A3 or -A11 (+ or −) [as reviewed by Farag et al. Blood2002; 100:1935–47]. Recipient KIR genotype and donor HLA KIR ligands were used to generate an inhibitory KIR score for pts from 1 to 4 corresponding to the potential number of inhibitory KIRs engaged. 7 pts had a score of 1, 27 had a score of 2, 14 had a score of 3 and 3 had a score of 4. Figure Figure The Kaplan-Meier method was used to estimate the achievement of CDC by inhibitory KIR score (figure, p=0.09). Pts with a score of 1 were less likely to achieve CDC compared to those with a score of 2 (p=0.02), while those with a score of 2 tended to be less likely to develop CDC than those with a score of 4 (p=0.07). There were no differences in CD34+ or CD3+ cell doses between any of the groups. When combined with the inhibitory KIR score data the presence of single or multiple activating KIR’s was not found to influence the development of CDC. Thus, pts with lower inhibitory KIR scores may have more active anti-donor effector cells (NK cells and T cell subsets) that may reduce donor cell chimerism. Conversely, those with higher inhibitory KIR scores may have less active populations and be more likely to achieve CDC. Given the genotypic potential to inhibit all NK cells KIR expression may be variable among different clones, and may affect the development of CDC. Further investigation of KIR expression at the cellular level rather than by genotyping alone should be pursued.

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)0.001
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.196
Teacher spread0.190 · 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
Published2006
Admission routes1
Has abstractyes

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