Expression of C-kit in retinoblastoma: a potential therapeutic target
Bibliographic record
Abstract
BACKGROUND: C-kit is a transmembrane tyrosine kinase protein thought to play an important role in tumourigenesis. With the development of the compound imatinib mesylate, which specifically inhibits tyrosine kinase receptors, C-kit has emerged as a potential therapeutic target. This study aims to determine the immunoexpression of C-kit in retinoblastoma and correlate this expression with histopathological prognostic features. METHODS: Eighty-four paraffin-embedded retinoblastomas were collected from the Henry C Witelson Ocular Pathology Registry. C-kit immunostaining was used according to the protocol provided by Ventana Medical System Inc., Arizona. Immunoreactivity was correlated with the presence or absence of invasion into the choroid and optic nerve and the degree of tumour differentiation. Odds ratios were calculated to quantify differences in C-kit expression between tumours with different patterns of invasion and differentiation. RESULTS: Twenty-one slides (25%) were excluded from analysis because of the presence of extensive tissue necrosis or the absence of sufficient optic nerve tissue for analysis. Overall, C-kit expression was identified in 33/63 specimens analysed (52.38%). Two of the 13 tumours without choroidal or optic nerve invasion (15.4%) were positive for C-kit. C-kit expression was seen in 31 of the 50 tumours with extraretinal invasion (62%, p<0.01), 26 of 44 specimens with choroidal involvement (59.9%, p<0.2), and 20 of the 29 with optic nerve involvement (68.96%, p<0.02). Fourteen of 25 moderate or well-differentiated specimens (56%) and 19 of 38 undifferentiated specimens (50%) displayed positivity for C-kit (p>0.5). CONCLUSIONS: More than half the retinoblastomas in this study expressed C-kit. The expression of C-kit strongly correlated with histopathological features of a worse prognosis including optic nerve and choroidal invasion.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".