Cyclin D1 Is Transcriptionally Regulated by and Required for Transformation by Activated Signal Transducer and Activator of Transcription 3
Bibliographic record
Abstract
Signal transducers and activators of transcription 3 (STAT3) is a transcription factor that is aberrantly activated in many cancer cells. Constitutively activated STAT3 is oncogenic, presumably as a consequence of the genes that it differentially regulates. Activated STAT3 correlated with elevated cyclin D1 protein in primary breast tumors and breast cancer-derived cell lines. Cyclin D1 mRNA levels were increased in primary rat-, mouse-, and human-derived cell lines expressing either the oncogenic variant of STAT3 (STAT3-C) or vSrc, which constitutively phosphorylates STAT3. Mutagenesis of STAT3 binding sites within the cyclin D1 promoter and chromatin immunoprecipitation studies showed an association between STAT3 and the transcriptional regulation of the human cyclin D1 gene. Introduction of STAT3-C and vSrc into immortalized cyclin D1(-/-) and cyclin D1(-/+) fibroblasts led to anchorage-independent growth of only cyclin D1(-/+) cells. Furthermore, knockdown of cyclin D1 in breast carcinoma cells led to a reduction in anchorage-independent growth. Phosphorylation of the retinoblastoma (Rb) protein [a target of the cyclin D1/cyclin-dependent kinase 4/6 (cdk4/6) holoenzyme] was delayed in the cyclin D1(-/-) cells relative to cyclin D1(-/+) cells. The E7 oncogene, whose activity includes degradation of Rb and dissociation of Rb from E2F, did not confer anchorage-independent growth to the cyclin D1(-/-) cells but, in conjunction with vSrc, resulted in robust growth in soft agar. These results suggest both a cdk-dependent and cdk-independent role for cyclin D1 in modulating transformation by different oncogenes.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".