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Record W1863477739 · doi:10.25011/cim.v34i3.15192

Reduced expression of Δp63α in cervical squamous cell carcinoma

2011· article· en· W1863477739 on OpenAlexvenueno aff
Ying Zhou, Qianqian Xu, Bin Ling, Weihua Xiao, Peishu Liu

Bibliographic record

VenueClinical and investigative medicine · 2011
Typearticle
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsnot available
Fundersnot available
KeywordsBasal cellMedicineInternal medicineOncologyCancer research

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.173
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.005
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.171
GPT teacher head0.330
Teacher spread0.159 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations14
Published2011
Admission routes1
Has abstractyes

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