Cyclin D1 is frequently overexpressed in microsatellite unstable colorectal cancer, independent of CpG island methylator phenotype
Bibliographic record
Abstract
AIMS: Cyclin D1 and cyclin-dependent kinases are commonly activated in colorectal cancer. Microsatellite instability (MSI) and CpG island methylator phenotype (CIMP) are important molecular classifiers in colorectal cancer. The aim was to clarify the relationship between cyclin D1, MSI and CIMP. METHODS AND RESULTS: Among 865 colorectal cancers with MSI and CIMP data, 246 tumours (28.4%) showed cyclin D1 overexpression by immunohistochemistry. DNA methylation in p14 and eight CIMP-specific promoters (CACNA1G, CDKN2A (p16), CRABP1, IGF2, MLH1, NEUROG1, RUNX3 and SOCS1) was quantified by real-time polymerase chain reaction (MethyLight). Both MSI-high and CIMP-high were associated with cyclin D1 overexpression (P < 0.0001). After tumours were stratified by MSI and CIMP status, the relationship between MSI-high and cyclin D1 persisted (P < or = 0.02), whereas the relationship between CIMP-high and cyclin D1 did not. Cyclin D1 overexpression was correlated with BRAF mutation (P = 0.0001), p27 loss (P = 0.0007) and p16 loss (P = 0.02), and inversely with p53 expression (P = 0.0002) and p21 loss (P < 0.0001). After stratification by MSI status, the inverse relationship between cyclin D1 and p21 loss still persisted (P < 0.008). CONCLUSIONS: Cyclin D1 activation is associated with MSI and inversely with p21 loss in colorectal cancers. Cyclin D1 may play an important role in the development of MSI-high tumours, independent of CIMP status.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".