Adolescent-and-Young-Adult-Onset Multisystem Langerhans Cell Histiocytosis With Central Nervous System Involvement: A Case Report
Bibliographic record
Abstract
Langerhans cell histiocytosis (LCH) is a proliferative disorder causing normally immune-responsive Langerhans cells to abnormally accumulate in various tissues and organs. Most available data on LCH is derived from pediatric populations, with limited literature focusing on adult LCH, which is rarer. Multisystem involvement in LCH, including central nervous system (CNS) involvement, is often higher risk and poorer prognosis. Standardized treatment recommendations remain limited, particularly in adolescent and young adult (AYA) populations. Discussed below is a case of AYA-onset multisystem LCH with CNS and skeletal system involvement, which was successfully treated with cladribine therapy. An 18-year-old male with no significant past medical history presented with left orbital pain and swelling. Laboratory, imaging, and biopsy results were consistent with a diagnosis of multisystem LCH. The patient was started on cladribine at 0.1 mg/kg/day for 7 days, along with Pneumocystis pneumonia prophylaxis and symptomatic management of facial pain and headaches. After four cycles of cladribine therapy, the patient exhibited symptomatic resolution and complete response of CNS and skeletal lesions. This highlights one potential therapeutic approach yielding a favorable outcome in a borderline case of AYA-onset LCH without targetable mutations on tissue next-generation sequencing (NGS). It also underscores the need for systemic therapy in patients with CNS involvement to avoid future long-term neurodegenerative complications. Further prospective studies and clinical trials are warranted to yield standardized treatment regimens for adult patients with LCH, particularly with multisystem involvement, including CNS.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| 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".