Expression and significance of FOXM1 in human cervical cancer: A tissue micro-array study
Bibliographic record
Abstract
OBJECTIVE: This study was designed to investigate the expression and significance of the Forkhead Box M1 (FOXM1) transcription factor in human cervical cancer. METHODS: The expression of FOXM1 protein was assessed in tissue microarrays containing 102 cervical cancer tissues by the Streptavidin-Peroxidase (SP) immunohistochemistry technique. The relationship between FOXM1 protein and clinico-pathological features (pathological stages, pathological types, TNM stage) was analyzed. RESULTS: FOXM1 protein was located in the cytoplasma and/or nucleus. The overall expression of FOXM1 in the cytoplasm and nucleus was not associated with T stages (P=0.217) or lymph node status (P=0.313). The nuclear expression of FOXM1 protein was not associated with T stage (P=0.508) or lymph node status (P=0.345). Elevated translocation and activity of FOXM1 were discovered with a secondary analysis that showed that the differences of the nuclear expression of FOXM1, among different pathological stages, were statistically significant (P < 0.05). The nuclear expression of FOXM1 in low differential cervical cancer tissues was significantly higher than in high differential cervical cancer tissues (P < 0.05). CONCLUSION: The overexpression of FOXM1 protein in cervical cancer maybe associated with the progression of cervical cancer, and could be a potentially novel tumor marker useful for diagnosis and therapy of cervical cancer.
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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 | 0.000 | 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".