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Record W3097634875 · doi:10.1182/blood-2020-139031

Naïve Helper T-Cell and Regulatory T- and NK-Cell Subsets Are Associated with Pediatric Chronic Graft-Versus-Host Disease: Results of the ABLE / PBMTC 1202 Study

2020· article· en· W3097634875 on OpenAlexaff
Geoff D.E. Cuvelier, Amina Kariminia, Eneida R. Nemecek, Carrie L. Kitko, Justin T. Wahlstrom, Andrew C. Harris, Henrique Bittencourt, Victor Lewis, Michael A. Pulsipher, Tal Schechter‐Finkelstein, Sung Won Choi, Emi Caywood, Monica Bhatia, Kimberly A. Kasow, David A. Jacobsohn, Benjamin Oshrine, Sonali Chaudhury, Joseph H. Chewning, Flower Allyson, Donald W. Coulter, Michael Joyce, Süreyya Savaşan, Anna Pawłowska, Gail Megason, David Mitchell, Alexandra Cheerva, Ánita Lawitschka, Bernard Ng, Kirk R. Schultz

Bibliographic record

VenueBlood · 2020
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsUniversity of British ColumbiaHospital for Sick ChildrenAlberta Children's HospitalMcGill UniversityUniversity of CalgaryCentre Hospitalier Universitaire Sainte-JustineMontreal Children's HospitalUniversity of ManitobaBC Children's HospitalCancerCare Manitoba
Fundersnot available
KeywordsMedicineGraft-versus-host diseaseHematopoietic stem cell transplantationBiomarkerImmunologyImmune systemInternal medicineDiseaseBiology

Abstract

fetched live from OpenAlex

Pediatric chronic graft-versus-host disease (cGvHD) contributes to poor quality of life and increased morbidity and mortality in long term survivors of hematopoietic stem cell transplant (HSCT). Given the insidious nature of cGvHD, diagnosing cGvHD in children according to the National Institutes of Health Consensus Criteria (NIH-CC) can be challenging, particularly in the early phase of disease development. Diagnostic cGvHD biomarkers could aid in diagnosis. The Applied Biomarkers of Late Effects / Pediatric Blood and Marrow Transplant Consortium (ABLE / PBMTC 1202) study was a prospective, multi-institution study at 27 pediatric HSCT centers that evaluated biomarkers of cGvHD. Detailed clinical evaluation of cGvHD, including central adjudication when necessary, occurred as per the NIH-CC. Of the 302 enrolled children, 233 were included in this diagnostic cGvHD biomarker analysis, including 43 with cGvHD and 190 non-cGVHD controls. Peripheral blood was drawn into a STRECK tube at the onset of cGvHD and before escalation of immune suppression, sent overnight to a central laboratory, and evaluated by flow cytometry. Five flow cytometric antibody panels consisting of 76 combinations of cell surface markers were used to delineate subpopulations of T, Regulatory T (Tregs, CD4+CD127LowCD25+), B, NK, and myeloid cells. We analyzed each marker in two ways. First, to control for normal post-HSCT immune reconstitution, we divided cGvHD subjects into early- (day 0-120), mid- (day 121-240), and late-onset (>day 240) and compared their marker values against non-cGVHD controls at day 100, 6-months, and 12-months, respectively, using fixed effect linear regression models. Second, we compared the marker values of all cGvHD subjects at diagnosis against the marker values of non-cGvHD controls at all three time points and used mixed effect linear regression models to account for within-subject correlations. A cellular subpopulation was considered a clinically relevant and potential diagnostic cGvHD biomarker if all 4 criteria were met: a) the effect ratio (mean marker value of cGvHD subjects over non-cGvHD controls) was ≥1.3 or ≤0.75, b) the p-value was ≤.05, c) the receiver-operating characteristic area under the curve was ≥0.60, and d) the marker was detected by both the mixed effect model and in the same direction across all measurement time points in the fixed effect models. Using these criteria, 8 cellular subpopulations arose as potential diagnostic biomarkers of pediatric cGvHD (Table). Key subsets identified in cGvHD patients included decreased proportions of naïve helper T cells (CD4+CD45RA+, PD1-CD4+CD45RA+, CCR7+CD4+CD45RA+, CD27+CD4+CD45RA+), decreased naïve and recently emigrated Tregs (CD31+CD45RA+, PD1-CD45RA+), and decreased non-cytolytic regulatory NK cells (CD56BrightCD335High, CD56BrightPerforinLow). CD4+ recent thymic emigrants (CD4+CD31+CD45RA+), markers of thymopoeisis, were also significantly decreased in cGvHD (p=0.01) but did not meet all the required biomarker criteria. Evaluation of specific subsets of pediatric cGvHD showed that CD21LowCD19+ B cells were lower in patients with pulmonary (n=12) compared to a mucocutaneous predominant phenotype (n=31) (p=0.048). Cases of progressive cGvHD (n=18), characterized by concurrent acute GvHD features (overlap syndrome), had decreased proportions of CD19 B cells, T3 transitional B cells (CD38LowCD10-) and mature naïve B cells (IgD+CD27-), decreased naïve helper T cells (CCR7+CD4+CD45RA+) and increased activated NK cells (CD56dimCD69+) (all p<0.05). No cellular subsets were associated with the number of organ systems involved with cGvHD or global cGvHD severity according to the NIH-CC. Using a well characterized cohort of pediatric patients with cGvHD, the ABLE / PBTMC 1202 study showed that a variety of subpopulations of naïve helper T cells, Tregs, and regulatory NK cells were associated with cGvHD. Additional B-cell markers were associated with progressive cGvHD in children. These data support alterations in thymopoeisis and decreases in regulatory T- and NK-cell populations underlying pediatric cGvHD. Future work includes the addition of non-cellular plasma markers into a clinically applicable diagnostic biomarker algorithm to aid clinicians in the accurate diagnosis of pediatric cGvHD, as well as further validation in the ABLE 2.0 / Pediatric Transplant Cellular Therapy Consortium 1901 study. Disclosures Wahlstrom: Pharmacyclics: Current Employment. Pulsipher:Mesoblast: Honoraria; Adaptive: Research Funding; Miltenyi: Honoraria, Research Funding; Bellicum: Honoraria; Jasper: Honoraria; Novartis: Honoraria.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.215
Teacher spread0.201 · 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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Citations2
Published2020
Admission routes1
Has abstractyes

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