Roles of Transforming Growth Factor-β in Graft-versus-Host and Graft-versus-Tumor Effects
Bibliographic record
Abstract
Transforming growth factor (TGF)-β is a pleiotropic cytokine with widespread and profound effects on immune cells. Consequently, it has generated considerable interest in relation to the immunologic outcomes after allogeneic hematopoietic cell transplantation. The TGF-β pathway has been shown to be an important modulator of alloimmunity, with direct consequences on graft-versus-host disease pathophysiology and graft-versus-tumor response. The TGF-β-related effects can be both beneficial and detrimental to the host, underscoring the complexity of TGF-β biology. This article reviews the evidence linking TGF-β to alloimmune responses in allogeneic hematopoietic cell transplantation and highlights foreseeable strategies that would maximize the beneficial effects of TGF-β pathway modulation on both graft-versus-host disease pathophysiology and the graft-versus-tumor effect.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".