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Record W2611789448 · doi:10.25011/cim.v34i1.14906

Expression and significance of FOXM1 in human cervical cancer: A tissue micro-array study

2011· article· en· W2611789448 on OpenAlexvenueno aff
Ping Guan, Hong Chen, Hua-ju Li, Jie Duan, Jingyi Chen

Bibliographic record

VenueClinical and investigative medicine · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicFOXO transcription factor regulation
Canadian institutionsnot available
Fundersnot available
KeywordsCervical cancerFOXM1OncologyMedicineCancerClinical significanceInternal medicineCancer researchBiologyGynecologyCell cycle

Abstract

fetched live from OpenAlex

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.312
Threshold uncertainty score0.973

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.146
GPT teacher head0.364
Teacher spread0.218 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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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