Distinct biological subtypes of chronic GVHD after pediatric hematopoietic cell transplantation
Bibliographic record
Abstract
ABSTRACT: Chronic graft-versus-host-disease (cGVHD) is the primary nonrelapse limitation to a successful hematopoietic cell transplantation and is largely treated as a single biological entity. We hypothesized that there exist different biological subtypes of cGVHD. Using the Applied Biomarkers of Late Effects of Childhood Cancer (ABLE) network database, which is derived from the largest pediatric cGVHD cohort worldwide, we applied clustering analysis to subtype patients with cGVHD from the ABLE1.0 and 2.0 studies (51 patients with cGVHD and 158 with non-cGVHD). We found 3 distinct cGVHD subtypes: cGVHD-1 was characterized by an effector memory T-cell, cytotoxic natural killer cell, and early precursor B-cell predominant pattern; cGVHD-2 was phosphatidylcholine, cytokine, and plasma cell predominant; and cGVHD-3 had more naïve CD4+ T cells and naïve regulatory T cells, had later onset, and was the only subtype with measurable T-cell receptor excision circles. We partially replicated these subtypes using metabolomic data from a separate pediatric cohort of the Children's Oncology Group trial ASCT0031 (33 patients with cGVHD and 39 with non-cGVHD). Furthermore, cGVHD-1 was associated with serotherapy (predominantly antithymocyte globulin) exposure, and cGVHD-3 was associated with receiving peripheral blood stem cells from donors, total body irradiation, and no previous acute GVHD. cGVHD-2 was associated with liver involvement and cGVHD-2 and -3 with de novo cGVHD. Overall, none of the subtypes were closely associated with organ involvement. Contrasting each subtype against patients with non-cGVHD, the 3 subtypes shared common markers, all of which were used in our previous cGVHD diagnostic classifier. These findings suggest the presence of distinct biological subtypes of cGVHD that may help guide therapeutic strategies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".