Lymphoepithelioma‐like carcinoma of the breast: lack of evidence of Epstein–Barr virus infection
Bibliographic record
Abstract
AIMS: Six cases of lymphoepithelioma-like carcinomas of the breast were studied in order to better define the morphology of this type of breast tumour and to see if these neoplastic lesions are related to Epstein-Barr virus (EBV) infection by analogy with histologically similar tumours located in other organs. METHODS AND RESULTS: The cases were studied with immunohistochemistry using several antibodies and with in-situ hybridization method employing different types of nucleotides in four cases. The cases presented the distinctive morphology of the lymphoepithelioma-like carcinomas as seen in other organs. Specifically Rigaud and Schminke's patterns of growth were observed. In addition, at the edge of the neoplastic lesions, a lymphoepithelial lobulitis was seen. In-situ hybridization failed to reveal any positivity for EBV genome. CONCLUSION: Lymphoepithelioma-like carcinoma is a specific type of breast tumour, but its relation to EBV has yet to be proven. The differential diagnosis with medullary carcinoma is discussed.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".