AB045. Prognostic significance and characterization of small epithelioid cell population in uveal melanoma
Bibliographic record
Abstract
Background: Uveal melanoma (UM) is a malignant neoplasia that is composed of two main types of cells: spindle and epithelioid. There is a subset of neoplastic small epithelioid cells located predominantly in the infiltrative tumor margins or surrounding blood vessels. The aim of this study is to characterize and evaluate the correlation between the presence of these small epithelioid cells and clinical outcome. Methods: The clinical-pathological features of 70 UM patients were evaluated. The presence of small epithelioid cells was quantified based on percentage of tumor volume, and they were characterized using melanocytic markers (HMB-45, Melan A and SOX-10), stem cell markers (CD133, CD24 and CD38), and T cell lymphocytes (CD3). Univariate and multivariate analyses were conducted. Clinical follow up was available for all patients. Results: The ratio of small epithelioid cell components of all 70 tumors ranged from 0% to 30% (median, 1%). Thirty-nine tumors (55.7%) had areas with small epithelioid cells. Univariate analysis showed that mixed versus spindle cell, higher lymphocytic infiltration, macrophage infiltration, ciliary body involvement, and >5% of small epithelioid cell component had a significant negative impact on metastasis-free survival. Small epithelioid cell component >5% was present in 24 cases (34.3%). Of these, three were classified as spindle and 21 were mixed. Multivariate analysis revealed that a >5% small cell component was the most significant morphological adverse prognostic factor. Moreover, the small epithelioid cells were negative for HMB45, stem cell markers and CD3, and focally and weakly positive for MELAN A and SOX10. Conclusions: A high small epithelioid cell component is a strong negative prognostic indicator in patients with UM.
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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) | 0.000 | 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) | 0.000 | 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".