Nicotinic Acetylcholine Receptor Pathways in Cancer: From Psychiatric Clues to Therapeutic Opportunities
Bibliographic record
Abstract
Objectives: The objective of this study was to investigate the impact of acetylcholine signaling pathways on tumor progression, focusing on the activation of nicotinic acetylcholine receptors in breast, prostate, and lung cancer cell lines. Methods: We examined the production and release of acetylcholine in the central nervous system and its potential effects on tumors in the peripheral environment. Utilizing breast, prostate, and lung cancer cell lines, we explored the signaling pathways associated with the activation of nicotinic acetylcholine receptors. Results: Our study revealed insights into the modulation of specific tumor profiling signaling pathways through the activation of nicotinic acetylcholine receptors. We observed notable implications for patient well-being and mortality rates based on the manipulation of these pathways. Conclusion: The findings from this investigation provide valuable information on the intricate relationship between acetylcholine signaling and tumor progression. By elucidating these pathways, there is potential for targeted interventions to enhance patient outcomes and mitigate mortality rates in breast, prostate, and lung cancer cases.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".