Immunohistochemical Analysis of PDGFR-α, PDGFR-β and c-Abl in Retinoblastoma: Potential Therapeutic Targets
Bibliographic record
Abstract
BACKGROUND: Our laboratory previously reported that imatinib mesylate (IM) has an inhibitory effect on two retinoblastoma (Rb) cell lines in vitro. AIMS: The purpose of this project was to determine the immunoexpression of platelet-derived growth factor receptor (PDGFR)-α, PDGFR-β and c-Abl in 61 human samples of Rb to determine if IM-sensitive receptors are present. Additionally, this paper seeks to establish a correlation between the expression of PDGFR, c-Abl and the histopathological prognosis. METHODS: Sixty-one paraffin-embedded Rbs were collected from the Henry C. Witelson Ocular Pathology Registry. PDGFR-α, PDGFR-β and c-Abl immunostaining was performed according to the protocol provided by Ventana Medical System Inc. Immunoreactivity was correlated with the presence or absence of invasion into the choroid and optic nerve. RESULTS: Overall, c-Abl expression was identified in 50 out of 61 specimens (81.97%), PDGFR-α was identified in 20 out of 60 specimens (33.33%) and PDGFR-β expression was identified in 57 out of 61 specimens (93.44%). Histopathological prognosis was not correlated with immunoreactivity except in the case of PDGFR-β. CONCLUSIONS: Rb is a cancer that expresses PDGFR-α, PDGFR-β and c-Abl, which are known targets of IM. These markers may be responsible for the documented therapeutic effect of IM on Rb cell lines.
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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 | 0.001 | 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) | 0.001 | 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".