Histiocyte Society blueprint for Langerhans cell histiocytosis research: from cell-of-origin to a more comprehensive cure
Bibliographic record
Abstract
Langerhans cell histiocytosis (LCH) is a rare myeloid neoplastic disorder driven by tissue-accumulating histiocytes expressing somatic mutations mostly in genes encoding components of the intracellular mitogen-activated protein kinase (MAPK) pathway. Its clinical presentation is highly variable, ranging from self-limiting unifocal lesions to severe, multisystem disease. As a result of new therapeutic strategies, the outcomes of patients with LCH have improved significantly during the past decade. Although mortality risk is minimal nowadays, a substantial proportion of patients experience significant morbidity due to (recurrent) disease reactivations or the development of (late) complications such as organ dysfunction - including neurodegeneration - or second hematologic cancers. To date, there are no prognostic tools that adequately predict who is at risk of developing such late sequelae. Given that all major clinical advances in the field of LCH have been driven by pivotal discoveries regarding its pathophysiology, we advocate that a deeper understanding of the cell-of-origin that gives rise to pathology-inducing cells found in the patients' blood and tissues before treatment initiation and occasionally even after treatment completion is an important missing piece of evidence with respect to understanding the pathophysiology of LCH and its late effects. Emerging techniques, such as longitudinal monitoring of driver mutations in the blood, now offer the potential to unveil the biological dynamics of the disease over its natural history. It is hoped that the much needed information, obtainable only through international collaboration and sustained long-term research projects, will bridge current gaps in clinical decision-making with the ultimate goal of improving outcomes of LCH patients worldwide.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".