Reduced expression of Δp63α in cervical squamous cell carcinoma
Bibliographic record
Abstract
PURPOSE: As a member of the p53 family, p63 is considered to be an important differentiation regulation transcriptional factor, but the roles of p63 in many epithelial tumourigenesis and metastasis processes are still not clear. This study was designed to investigate the expression of p63 and its isoform in normal tissues and squamous cell cancer tissues of uterine cervix, and its significance in cancer cell differentiation. METHODS: The expression of p63 was assessed in cervical tissue and cell lines by immunohistochemistry, RT-PCR and Western Blotting. The relationships between p63 protein, various clinico-pathological features, and the differentiation marker involucrin were analyzed. RESULTS: ΔΝp63α is the predominant isoform expressed in cervical epithelial tissues, and it is decreased in moderately or poorly differentiated cervical squamous carcinoma, as well as in the HeLa, SiHa and C33A cervical cancer cell lines. The expression level of ΔΝp63α was positively correlated with that of involucrin in cervical squamous cancer tissue, and the expression of ΔΝp63α is decreased with the degree of tumour invasion. CONCLUSION: The decrease of ΔΝp63α in cervical squamous cell cancer appears to be associated with the tumour progression, and ΔΝp63α may be a sensitive marker for cervical squamous cancer differentiation.
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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 | 0.001 |
| 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".