Activation of calcineurin in cancer: many paths, one hub
Bibliographic record
Abstract
Calcineurin is a calcium dependent serine/threonine phosphatase that integrates changes in intracellular calcium with downstream signaling pathways. A recent paper by Peuker et al . published in Nature Medicine identifies calcineurin as a key mediator of tumor growth and proliferation in response to altered stratification of the microbiota. Peuker et al . show that alterations in microbiota stratification activate toll-like receptor (TLR) signaling, which in turn activates calcineurin-NFAT signaling. While this is the first example of calcineurin activation in cancer through the intestinal microbiota, calcineurin is increasingly being recognized as a commonly activated target in cancer. Increases in intracellular calcium in response to hypoxic conditions, inflammation, and vascular endothelial growth factor signaling have all been demonstrated to result in increased calcineurin activation in malignant cells. More recently, cleavage of calcineurin has been associated with increased activity in cancer. Activation of calcineurin is implicated in signaling pathways promoting proliferation, migration, and metastasis. The elevated frequency of calcineurin activation in cancer highlights the importance of this pathway as a potential therapeutic target.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".