Ret Oncogene Protein Expression in Papillary Thyroid Carcinoma and Related Lesions
Bibliographic record
Abstract
BACKGROUND: Activation of Ret oncogenes, particularly Ret/PTC, has been identified in papillary thyroid carcinoma (PTC). The purpose of this study was to investigate the immunostaining pattern of Ret oncogene protein in PTC and nodular non-PTC lesions with a fine chromatin pattern. MATERIALS AND METHODS: Ninety-three PTC and 139 nodular non-PTC lesions were microscopically reviewed to identify the nuclear changes of "limited nuclear features of PTC" (focal nuclear grooves, nuclear inclusions or optically clear nuclei) and areas of infiltrating carcinoma (IC) and were submitted for immunostaining with Ret oncogene protein antiserum. RESULTS: Immunoreactivity for Ret protein ranged from negative in follicular adenoma (FA) with a coarse chromatin pattern, to negative or weak reactivity in FA with a fine chromatin pattern, to strong reactivity in PTC with areas of infiltrating carcinoma (IC). In FA with fine chromatin, FA and follicular carcinoma (FC) containing an admixture of areas of coarse and fine chromatin, areas with nuclear changes with "limited nuclear features of PTC" displayed varying degrees of immunoreactivity. The intensity of immunostaining varied with the degree of nuclear change. The noninvasive component of PTC with IC usually showed more extensive and stronger reactivity than PTC without IC. PTCs with and without IC were associated with a rate of lymph node metastasis of 48% and 3%, respectively. CONCLUSIONS: The expression of Ret oncogenes (Ret/PTC, other unknown variants or wild type) is focally or extensively present in all PTC with IC. The degree of immunoreactivity is likely to be proportional to the potential for lymph node metastasis of PTC. In the context of this study and due to the specificity of Ret oncogenes, it is likely that nodular non-PTC lesions with a fine chromatin pattern and focal positive reactivity for Ret oncogene represent PTC-related 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 | 0.000 | 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 | 0.000 |
| 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".