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An Early Naïve T Cell Population Lacking PD1 Expression at Day 100 As A Prognostic Biomarker of Chronic GVHD

2017· article· en· W2615847265 on OpenAlexaff
Amanda M. Li, Sibyl Drissler, Amina Kariminia, Peter Subrt, Ryan R. Brinkman, Kirk R. Schultz

Bibliographic record

VenueTransplantation · 2017
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsChild and Family Research InstituteBC Cancer AgencyBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsGraft-versus-host diseaseInterleukin-7 receptorMedicineHematopoietic stem cell transplantationImmunologyPeripheral blood mononuclear cellIL-2 receptorCD8T cellPopulationInternal medicineBiomarkerTransplantationOncologyGastroenterologyImmune systemBiology

Abstract

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Chronic graft-versus-host disease (cGVHD) remains one of the leading causes of morbidity and non-relapse mortality in patients surviving allogeneic hematopoietic stem cell transplantation (HSCT) beyond 100 days. T cells have a well-recognized role in cGVHD, although distinct subpopulations of T cells likely play different roles in mediating and modulating cGVHD. There is a need to define more precise biomarkers of cGVHD that are predictive of clinical outcome. Methods: Fifty-two peripheral blood mononuclear cell (PBMC) samples were collected from adults at Day +100 following HSCT. NIH clinical diagnostic consensus criteria were used to define patients with cGVHD (n = 23) and no cGVHD (n = 36) for two-group analyses, and then further divided into the following categories for four-group analyses: Tolerant (no GVHD; n = 11), Isolated (acute GVHD only, n = 20), De Novo (cGVHD only; n = 6), or Progressive (both acute and cGVHD; n = 15). PBMCs were sorted by flow cytometry using T cell markers CD45RA, CD3, CD4, CD5, CD25, CD31, CCR7, and PD1, using a gating strategy by flowDensity. The two-group analyses also included an unstructured gating technique using flowType pipeline to phenotype all T cell populations without an a priori gating sequence. Those with a minimum mean two-fold change using RchyOptimyx were reported. Results: In a population of naïve CD4 + CD8-CD45RA+ cells T cells, (excluding CD25 + CD127- Treg cells), PD1- was predictive of cGVHD in both a two-group comparison of cGVHD+ versus cGVHD- (29% vs. 10%; p = 0.02, Table 1), and a four-group comparison of GVHD subgroups (p = 0.004), with an AUC of ROC curve of 0.76. Other markers which were significant in the cGVHD population included CD31+ (p = 0.01), and CCR7+ (p = 0.004), both with AUCs of 0.71. However, the addition of CD31+, CCR7+, or both, did not increase the AUC in unstructured analysis beyond the effect of the PD1- population alone. Conclusion: At Day +100 following HSCT, patients with cGVHD had significantly larger populations of naïve CD4 T cell with CD31+, CCR7+, and PD1-, compared to patients without cGVHD. This was seen with both the structure and unstructured gating strategies. PD1- appeared to be the strongest factor, without significant additive effect of CD31+ and CCR7+ reflected in the AUC. Taken together, this early naïve T cell phenotype CD4 + CD8-CD45RA + PD1- may be an important prognostic biomarker to predict the later development of cGVHD.Figure

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 score0.001
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
Bibliometrics0.0010.000
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 head0.027
GPT teacher head0.315
Teacher spread0.287 · 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
Published2017
Admission routes1
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