Na+/H+ exchange in the tumour microenvironment: does NHE1 drive breast cancer carcinogenesis?
Bibliographic record
Abstract
Ionic messengers signal several critical events in carcinogenesis, including metastasis, the leading cause of patient mortality. The aberrant metabolic, proliferative and anti-apoptotic nature of neoplastic cells can be traced to the abnormal expression of their ion transporters and related signalling networks. In this manuscript, we discuss Na(+)/H(+)flux, as mediated by the sodium-hydrogen exchanger isoform 1 (NHE1), a major ion transporter involved in tumourigenesis. Allosteric activation of NHE1 by external stimuli is controlled by phosphorylation of key amino acids on its cytosolic C-terminal tail, which also acts as a signal scaffold for its regulation by intracellular protein and lipid binding partners. In breast cancer cells, pH homeostasis and proton dynamics are disrupted early in transformation. This constitutively activates NHE1, causing a reversal of the plasma membrane pH gradient, resulting in a more alkaline intracellular pH and a more acidic extracellular pH. NHE1-mediated cellular alkalinization potentiates cytoskeletal remodelling, mobilizing cells for directed migration. Concomitant redistribution of NHE1 to invadopodia, where increased proton extrusion promotes proteolytic digestion of the extracellular matrix, primes cells for invasion into the bloodstream. NHE1 hyperactivity therefore heralds an important stage in cancer cell development, critically facilitating the acquisition of the invasive phenotype necessary for metastasis to occur. The potential for targeting NHE1 in the development of novel chemotherapeutic applications is explored.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".