AB079. HER2 as a possible therapeutic target in squamous cell carcinoma of the conjunctiva
Bibliographic record
Abstract
Background: Invasive squamous carcinoma (SCC) is the most frequent malignant neoplasia of the conjunctiva, 33% of which will metastasize. C-erbB-2/neu (HER2) is an oncogene associated with poor prognosis, metastatic potential and aggressive behavior in several tumors, including breast, stomach, among others. HER2 amplification is also associated with the response to anti-HER2 treatment. The aim of this study is to evaluate HER2 expression in the progression of ocular surface squamous neoplasia (OSSN) and as a potential therapeutical target. Methods: Ninety-eight OSSN lesions including 17 papillomas (P), 27 conjunctival intraepithelial neoplasia (CIN) I, 19 CIN II, 13 CIN III, and 11 SCC were evaluated. Eleven conjunctivas from normal human eyes (NHE) were also included in the analysis. Immunohistochemistry was performed to analyze HER2 (clone 29D8) expression, which was graded as follows: complete membrane staining in more than 10% of malignant cells (3+); week to moderate complete staining in more than 10% of malignant cells (2+); none or fewer than 10% cells staining (0 to 1+, respectively). Positive HER2 was considered when a score 2+ or 3+ was determined. Breast carcinoma with HER2 amplification was used as a positive control. FISH technique was performed in the positive cases to confirm results. Statistical analysis was performed using Fisher’s exact test. Results: HER2 positive expression was detected in 6% of P (100% score 2+), 11% of CIN I (100% score 2+), 32% of CIN II (100% score 2+), 30% of CIN III (100% score 2+), 29% of SCC (50% score 2+ and 50% score 3+). Benign lesions showed lower HER2 expression than in situ (P=0.03) and invasive tumors (P=0.02). No correlation between HER2 and age or tumor thickness in SCC was found (P>0.05). Conclusions: HER2 is expressed in conjunctival SCC. Moreover, one third of SCC were graded as 2+ or 3+. These results support the evaluation of anti-HER2 therapy in conjunctival SCC. Pre-clinical trials should be performed to determine the importance of this marker in conjunctival SCC for predicting response to treatments targeting this pathway.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.003 | 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".