Arginine methyltransferases as novel therapeutic targets for breast cancer
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Breast cancer is the most commonly diagnosed female cancer in the world. Though therapeutic treatments are available to treat breast cancer and in some instances are successful, the occurrence of unsuccessful treatment, or the rate of tumour recurrence, still remains strikingly high. Therefore, novel therapeutic treatment targets need to be discovered and tested. The protein arginine methyltransferases (PRMTs) are a family of enzymes that catalyse arginine methylation and are implicated in a myriad of cellular pathways including transcription, DNA repair, RNA metabolism, signal transduction, protein-protein interactions and subcellular localisation. In breast cancer, the expression levels and enzymatic activity of a number of PRMTs is dysregulated; significantly altering the regulation of many cellular pathways that are implicated in breast cancer development and progression. Here, we review the current knowledge on PRMTs in breast cancer and provide a rationale for how PRMTs may provide novel therapeutic targets for the treatment of breast cancer.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 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 it