The role of transient receptor potential channel blockers in human gastric cancer cell viability
Bibliographic record
Abstract
Transient receptor potential cation channel, subfamily M, receptor 7 (TRPM7) is a ubiquitous divalent-selective ion channel with its own kinase domain. Human gastric cancer cells express the TRPM7 channel, and the presence of this channel is essential for cell survival. Recent studies have suggested that 5-lipoxygenase (5-LOX) inhibitors are potent blockers of the TRPM7 channels. The aim of this study was to show the effects of 5-LOX inhibitors on the growth and survival of gastric cancer cells. Among 5-LOX inhibitors, nordihydroguaiaretic acid (NDGA), 2,3,5-trimethyl-6-(12-hydroxy-5,10-dodecadiynyl)-1,4-benzoquinone (AA861), and 3-[1-(p-chlorobenzyl)-5-(isopropyl)-3-tert-butylthioindol-2-yl]-2,2-dimethylpropanoic acid (MK886) were potent blockers of TRPM7-like currents in gastric cancer cells and also induced cell death. However, zileuton was ineffective in suppressing TRPM7-like current activity and inducing cell death. Moreover, a specific transient receptor potential cation channel, subfamily C, member 3 (TRPC3) inhibitor, a pyrazole compound (Pyr3), and a specific melastatin TRP (TRPM4) inhibitor, 9-phenanthrol, did not affect TRPM7-like currents or induce cell death. We conclude that TRPM7 has an important role in the growth and survival of gastric cancer cells and a likely potential target for the pharmacological treatment of gastric cancer.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".