Immunostaining for Ret Oncogene Proteins in Papillary Thyroid Carcinoma: A Correlation of Ret Immunoreactivity and Potential of Lymph Node Metastasis
Bibliographic record
Abstract
Ret oncogenes, particularly Ret/PTC, have been associated with the potential of local invasion of papillary thyroid carcinoma (PTC). The purpose of this study was to investigate the correlation between the Ret oncogene expression and the potential of lymph node metastasis of PTC. A total of 107 PTC were microscopically reviewed to identify areas of infiltrating carcinoma (IC). IC was defined as tumor cells disposed in a haphazard pattern and in lobules, nests, follicles, or single cells within a desmoplastic or sclerotic stroma. All cases were submitted to immunostaining for Ret oncogene. There were 36 noninfiltrating PTC with lymph node metastasis in 1 case and 71 infiltrating PTC with lymph node metastasis in 40 cases. For non-PTC, the positive immunoreactivity was often weak to moderate and focal. For infiltrating PTC with IC, the IC displayed strong immunoreactivity. The noninfiltrating component of PTC with IC usually showed stronger reactivity than PTC without an infiltrating component. Furthermore, 36 of 40 metastatic PTC in lymph node were immunoreactive. Three follicular adenomas with areas of scar caused by fine-needle aspiration biopsy were not immunoreactive for Ret. In view of the high potential of infiltrating PTC for lymph node metastasis, distinction of this type of carcinoma from its noninfiltrating form is clinically important. Because immunoreactivity for Ret is usually positive in areas of infiltrating PTC and is often negative or focally positive in noninfiltrating PTC, immunostaining for Ret is helpful to identify infiltrating PTC and distinguish it from changes caused by fine-needle aspiration biopsy in benign thyroid lesions.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".