PGD2/PTGDR2 Signaling Affects the Stemness of Gastric Cancer Stem Cells by Regulating Autophagy.

IF 1.6 4区医学 Q4 BIOCHEMICAL RESEARCH METHODS

Combinatorial chemistry & high throughput screening Pub Date : 2025-01-27 DOI:10.2174/0113862073372570250123091700

Feifan Wang, Hengjin Tian, Peiyao Gao, Zhanshan Cha, Qiang Zhang

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引用次数: 0

Abstract

Background: Prostaglandin D2 (PGD2) can inhibit the development of gastric cancer (GC); however, its role in the autophagic death of GC stem cells (GCSCs) remains elusive. Therefore, this study aims to evaluate the mechanisms by which PGD2 regulates the stemness in GCSCs.

Methods: In this study, HGC27-derived GCSCs were employed to knock down PGD2 receptor 2 (PTGDR2). Subsequently, cell stemness and autophagic activity in these GCSCs were assessed via sphere-forming capacity, transmission electron microscopy, and western blot analyses.

Results: The results revealed that PGD2 suppressed the stemness of GCSCs and induced GCSCs autophagy, whereas the downregulation of PTGDR2 had the opposite effect. Furthermore, PGD2 was also found to inhibit the expression of stemness-associated proteins CD44 and OCT4, which were blocked by 3-MA and enhanced by RAPA. Moreover, the shPTGDR2 + PGD2 group indicated higher stemness than the PGD2 group, with 3-MA enhancing this effect and RAPA reducing this change.

Conclusion: In summary, this study indicated that PGD2/PTGDR2 signaling affects stemness and autophagy in GCSCs. The results suggest that PGD2/PTGDR2 signaling may affect the stemness of GCSCs by regulating autophagy.

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来源期刊

Combinatorial chemistry & high throughput screening 化学-生化研究方法

CiteScore

3.10

自引率

5.60%

发文量

327

审稿时长

7.5 months

期刊介绍： Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.