Phosphatases of Regenerating Liver (PRL) as Therapeutic Targets in Cancer
Bibliographic record
Abstract
Background: Phosphatases of regenerating liver (PRL) represent a class of protein tyrosine phosphatases with oncogenic activity. PRL overexpression enhances cell proliferation, transformation, and promotes metastasis in many human cancers. Most notably, PRLs interact with a family of magnesium transporters, cyclin M (CNNM), to regulate intracellular Mg2+ levels. Thus, PRLs are attractive therapeutic targets given their role in oncogenic and tumour suppressor signaling pathways by modulating cellular growth. Methods: Academic research articles were obtained by searching key terms in the PubMed database. This review specifically focuses on the articles that provided a comprehensive overview of PRLs, CNNMs, and small molecule inhibitors of PRLs. Summary: This review discusses the role of PRLs in promoting cancer metastasis and explores current strategies for targeting PRL activity through the use of small molecule inhibitors. Although several potent PRL inhibitors have been discovered, improvements must be made prior to clinical applications. Therefore, understanding the molecular basis of PRL inhibition is essential for developing novel therapeutic agents in cancer treatments.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".