Primary Lymphoepithelioma-Like Carcinoma of Ocular Adnexa: Clinicopathologic Features and Treatment
Bibliographic record
Abstract
BACKGROUND AND METHODS: Lymphoepithelioma-like carcinoma (lelc) is a rare malignancy in ocular adnexa. Here, we report 4 patients with lelc and review 11 patients reported in the literature. Clinical profiles, association with Epstein-Barr virus (ebv), treatment, and outcomes are analyzed. RESULTS: Lacrimal glands and the lacrimal drainage system, eyelid, and conjunctiva are potential primary sites for lelc. The tumours are characterized histologically by nests of undifferentiated malignant cells surrounded by lymphoid infiltrates. Infection with ebv was confirmed in lelc of ocular adnexa, and that association seemed to be restricted to Asian populations. Results from our centre uniformly showed expression of ebv-encoded small rnas in primary tumour, locally recurrent tumour, and metastatic lymph nodes. This disease had a tendency to relapse regionally. Postoperative radiotherapy seems to improve disease-free survival. Tumours appear to be sensitive to radiotherapy and chemotherapy based on cisplatin and 5-fluorouracil. At our centre, 3 patients were still living at 22, 33, and 76 months after surgery. One patient died of distant metastasis after a survival of 38 months. CONCLUSIONS: Lymphoepithelioma-like carcinoma is a heterogenous entity among ocular adnexal malignancies. Multimodality treatment provides a better chance at survival. Further investigation is required to achieve a better understanding of the biologic behavior of this entity and of its optimal treatment.
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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 | 0.001 |
| 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 | 0.001 |
| 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".