Prognostic Value of Expression of Cyclin E in Gastrointestinal Cancer
Bibliographic record
Abstract
Cyclin E is a critical regulator in cell cycle and promotes the initiation of DNA replication and centrosome duplication in late G1. The overexpression of cyclin E is common in cancers of the digestive system. However, whether cyclin E represents a prognostic biomarker in gastrointestinal cancer remains controversial. We reviewed the published literatures to clarify the association between cyclin E determined by immunohistochemistry (IHC) and survival in gastrointestinal cancer. Literatures were searched in PubMed and Cochrane Library published up to December 1, 2014. A total of 282 articles were initially identified, and 14 articles were included in this study. Meta-analysis was performed for 10 studies with a total of 1300 patients. Combined hazard risk (HR) and corresponding 95% confidence interval (CI) were calculated by random-effect model due to the heterogeneity. The quality of included studies was assessed by the Newcastle-Ottawa Scale and the Methodological Index for Non-Randomized Studies (MINORS). We found that high level of cyclin E was a predicator of poor prognosis among patients with gastrointestinal cancer (HR = 1.67, 95% CI = 1.06-2.63, P = .028). In summary, overexpression of cyclin E is associated with poor prognosis in gastrointestinal cancer and expression of cyclin E determined by IHC might be a prognostic marker for gastrointestinal cancer in clinical practice.
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 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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".