TRAF1 promotes the progression of Helicobacter pylori-associated gastric cancer through EGFR/STAT/OAS signalling.
[AIMS] Helicobacter pylori (H.
APA
Zhang M, Yuan L, et al. (2025). TRAF1 promotes the progression of Helicobacter pylori-associated gastric cancer through EGFR/STAT/OAS signalling.. Life sciences, 373, 123656. https://doi.org/10.1016/j.lfs.2025.123656
MLA
Zhang M, et al.. "TRAF1 promotes the progression of Helicobacter pylori-associated gastric cancer through EGFR/STAT/OAS signalling.." Life sciences, vol. 373, 2025, pp. 123656.
PMID
40287055
Abstract
[AIMS] Helicobacter pylori (H. pylori) is associated with various gastric diseases and is one of the pathogenic factors of gastric cancer (GC). We found that H. pylori induce the expression of TRAF1, but its mechanism of action is still unclear. Therefore, we wanted to determine whether TRAF1 is involved in the mechanism of H. pylori-related GC progression.
[MATERIALS AND METHODS] In this study, we analysed TRAF1 expression and its prognostic significance using clinical specimens, performed functional studies involving TRAF1 overexpression or knockdown in cellular models, identified downstream signalling pathways regulated via RNA-seq, validated these mechanisms through pathway blockade and rescue experiments, and further confirmed the findings in an H. pylori-infected gastritis mouse model.
[KEY FINDINGS] TRAF1 expression was significantly elevated in GC tissues and served as a poor prognostic biomarker. TRAF1 promoted GC cell proliferation, migration and invasion. RNA-seq analysis revealed that TRAF1 activated the EGFR/STAT/OAS signalling axis, upregulated STAT3 expression and increased the transcription of the OAS gene family. Pharmacological inhibition with ruxolitinib and AG490 effectively blocked EGFR/STAT/OAS signalling. In H. pylori-treated cell models, H. pylori infection activated the EGFR/STAT/OAS signalling axis. In vivo, we established an H. pylori-induced gastritis mouse model to validate the activation of this signalling pathway during the gastritis-carcinoma transition.
[SIGNIFICANCE] TRAF1 may promote the proliferation, migration and invasion of H. pylori-associated GC by activating the EGFR/STAT/OAS signalling axis, suggesting that TRAF1 is a promising novel prognostic biomarker and therapeutic target for this malignancy.
[MATERIALS AND METHODS] In this study, we analysed TRAF1 expression and its prognostic significance using clinical specimens, performed functional studies involving TRAF1 overexpression or knockdown in cellular models, identified downstream signalling pathways regulated via RNA-seq, validated these mechanisms through pathway blockade and rescue experiments, and further confirmed the findings in an H. pylori-infected gastritis mouse model.
[KEY FINDINGS] TRAF1 expression was significantly elevated in GC tissues and served as a poor prognostic biomarker. TRAF1 promoted GC cell proliferation, migration and invasion. RNA-seq analysis revealed that TRAF1 activated the EGFR/STAT/OAS signalling axis, upregulated STAT3 expression and increased the transcription of the OAS gene family. Pharmacological inhibition with ruxolitinib and AG490 effectively blocked EGFR/STAT/OAS signalling. In H. pylori-treated cell models, H. pylori infection activated the EGFR/STAT/OAS signalling axis. In vivo, we established an H. pylori-induced gastritis mouse model to validate the activation of this signalling pathway during the gastritis-carcinoma transition.
[SIGNIFICANCE] TRAF1 may promote the proliferation, migration and invasion of H. pylori-associated GC by activating the EGFR/STAT/OAS signalling axis, suggesting that TRAF1 is a promising novel prognostic biomarker and therapeutic target for this malignancy.
MeSH Terms
Stomach Neoplasms; Humans; Helicobacter Infections; Animals; Mice; ErbB Receptors; Helicobacter pylori; Signal Transduction; TNF Receptor-Associated Factor 1; Disease Progression; Cell Proliferation; Cell Line, Tumor; Female; Male; Gastritis; Cell Movement; STAT3 Transcription Factor; STAT Transcription Factors; Gene Expression Regulation, Neoplastic; Prognosis
같은 제1저자의 인용 많은 논문 (5)
- Deep Learning-based Multiple Arterial Phase MRI: A Step toward Improved Hepatocellular Carcinoma Diagnosis.
- Artificial intelligence-driven pharmacovigilance analysis of polypharmacy and adverse events in breast cancer survivors treated with antidepressants.
- Explainable artificial intelligence for multi-modal cancer analysis: From genomics to immunology.
- pH and temperature dual-responsive covalent organic framework composites for efficient enrichment of phosphoproteins.
- Novel nanoparticle-combined therapy through EGFR and PD-L1 blockade: PFPR-siRNA-mediated suppressing NSCLC proliferation via PDT and enhanced antitumor immunity.