Dynamic role of gastric stem cells and chief cells in precancerous lesions of gastric cancer: global knowledge mapping and emerging trends based on bibliometric analysis from 2004 to 2024
Bibliographic record
Abstract
Background: Gastric stem cells (GSCs) and chief cells are vital for maintaining gastric epithelial homeostasis. However, under pathological conditions, these cells undergo significant functional changes, contributing to the progression of precancerous lesions of gastric cancer (PLGC). Dysregulation of key signaling pathways such as WNT, NF-κB, and YAP leads to aberrant cellular behaviors, which are implicated in the early stages of gastric carcinogenesis. This study aimed to elucidate the roles of GSCs and chief cells in maintaining gastric epithelial integrity, their contributions to the development of precancerous lesions, and the molecular mechanisms that regulate their behavior during disease progression. Methods: The study integrated bibliometric analysis, pathfinding, and data visualization using tools such as CiteSpace, VOSviewer, and R software. Functional enrichment of target genes was analyzed using KEGG and GO databases. The study focused on gastric cell changes, including differentiation, dedifferentiation, and signaling pathway activation, within the context of GSC and chief cell plasticity. Molecular markers and pathway-specific mechanisms were analyzed to clarify their contributions to gastric precancerous lesions. Results: Data from the WoSCC database from 2004 to 2024 showed a steady increase in publications on "PLGC-gastric stem cells" and "PLGC-chief cells," with the United States, China, and Japan leading in publication volume. International cooperation was evident, particularly with Canada playing a central role in academic exchanges. Key terms included stem cells, intestinal chemotaxis, and cancer, with recent focus on spasmolytic polypeptide-expressing metaplasia. Conclusion: The dynamic interactions between GSCs and chief cells are fundamental to gastric homeostasis and disease progression. GSCs primarily drive chronic inflammation-induced metaplasia and dysplastic changes, while chief cells facilitate acute epithelial repair through dedifferentiation. These findings highlight potential therapeutic targets and emphasize the importance of regulating dysregulated pathways to prevent gastric cancer. The research results will guide future studies in the fields of "PLGC-gastric stem cells" and "PLGC-chief cells," focusing on the spatiotemporal dynamics of each cell type under various injury and inflammatory conditions, as well as identifying early biomarkers of cellular changes for timely intervention.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.105 | 0.178 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".