Underexpression of p27/Kip in Thyroid Papillary Microcarcinomas With Gross Metastatic Disease
Bibliographic record
Abstract
OBJECTIVE: Papillary microcarcinomas (PMCs) of the thyroid (measuring less than 1 cm in maximum dimension) are extremely common incidental histologic findings, and most of these tumors are not considered clinically significant. However, rare PMCs behave aggressively and metastasize early, giving rise to clinically significant metastatic disease. We hypothesized that p27 and MIB-1/Ki-67 immunoreactivity would allow us to identify this small subgroup of PMCs that have the potential to behave aggressively. METHODS: We reviewed the histopathology reports of 2000 patients who underwent thyroid surgery at our institution between 1995 and 1999 and identified 22 patients who presented with gross regional metastases from a primary PMC. The primary and metastatic tumors were stained for ret, p53, p27, and MIB-1 using the avidin-biotin-peroxidase complex technique. A control group of 33 nonmetastasizing PMCs was also analyzed. RESULTS: Immunoreactivity for ret, p53, and MIB-1 showed no difference between metastasizing and nonmetastasizing PMCs. In most tumors, ret was present, while p53 immunoreactivity was absent in all tumors. MIB-1 staining was present in a small number of cells in both groups of tumors. Immunoreactivity for p27 was quantitated by the intensity of expression as well as the distribution of positive cells within each tumor. All tumors showed lower p27 expression than normal thyroid tissue. However, metastasizing PMCs demonstrated a significantly lower expression of p27 than nonmetastasizing PMCs (P<.001). CONCLUSION: Our results suggest that p27 immunohistochemical analysis may be a valuable diagnostic tool in predicting aggressive potential in PMCs.
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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) | 0.001 | 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".