Novel RING E3 Ubiquitin Ligases in Breast Cancer
Bibliographic record
Abstract
Defects in ubiquitin E3 ligases are implicated in the pathogenesis of several human diseases, including cancer, because of their central role in the control of diverse signaling pathways. RING E3 ligases promote the ubiquitination of proteins that are essential to a variety of cellular events. Identification of which ubiquitin ligases specifically affect distinct cellular processes is essential to the development of targeted therapeutics for these diseases. Here we discuss two novel RING E3 ligases, BCA2 and RNF11, that are closely linked to human breast cancer. BCA2 E3 ligase is coregulated with estrogen receptor and plays a role in the regulation of epidermal growth factor receptor (EGF-R) trafficking. RNF11 is a small RING E3 ligase that affects transforming growth factorbeta and EGF-R signaling and is overexpressed in invasive breast cancers. These two proteins demonstrate the complexity of RING E3 ligase interactions in breast cancer and are potential targets for therapeutic interventions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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".