Bioinformatics analysis to investigate the genetic associations between diabetes and pancreatic cancer.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 2/4)
유사 논문P · Population 대상 환자/모집단
환자: type 2 diabetes mellitus (T2DM)
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
Six potential therapeutic agents targeting ITGA2, LAMB3, and FN1 were identified. [CONCLUSION] Three genes and associated known drugs identified in this study may serve as potential targets for treating the coexistence of the two diseases.
ℹ️ 이 논문은 무료 전문이 아직 없습니다. 코퍼스 전체의 44.0%는 무료 가능 (통계 →) · 🏥 기관 EZproxy로 시도
[AIMS] Epidemiological studies indicate a heightened risk of pancreatic adenocarcinoma (PAAD) in patients with type 2 diabetes mellitus (T2DM).
APA
Wei JB, Chen XM (2025). Bioinformatics analysis to investigate the genetic associations between diabetes and pancreatic cancer.. The aging male : the official journal of the International Society for the Study of the Aging Male, 28(1), 2572524. https://doi.org/10.1080/13685538.2025.2572524
MLA
Wei JB, et al.. "Bioinformatics analysis to investigate the genetic associations between diabetes and pancreatic cancer.." The aging male : the official journal of the International Society for the Study of the Aging Male, vol. 28, no. 1, 2025, pp. 2572524.
PMID
41099341 ↗
Abstract 한글 요약
[AIMS] Epidemiological studies indicate a heightened risk of pancreatic adenocarcinoma (PAAD) in patients with type 2 diabetes mellitus (T2DM). This study investigates the molecular mechanisms underlying their comorbidity.
[MATERIALS AND METHODS] Common DEGs between T2DM and PAAD were identified from GEO datasets. Functional and pathway enrichment analyses were performed PPI, GO, and KEGG. Core genes were screened and their diagnostic value was validated by ROC curves. Immune infiltration and TF-mRNA-miRNA regulatory networks were constructed to explore disease mechanisms. Core gene expression and prognostic significance in PAAD were assessed using GEPIA2 and HPA. Potential therapeutics targeting core genes were predicted the Therapeutic Target Database.
[RESULTS] A total of 35 DEGs were identified. GO analysis linked these genes to cell adhesion and extracellular matrix (ECM) components. KEGG enrichment highlighted ECM-receptor interaction as the top pathway. Key ECM-related molecules-ITGA3, FN1, LAMB3, ITGA2, and LAMC2-were upregulated in both T2DM and PAAD. Six potential therapeutic agents targeting ITGA2, LAMB3, and FN1 were identified.
[CONCLUSION] Three genes and associated known drugs identified in this study may serve as potential targets for treating the coexistence of the two diseases.
[MATERIALS AND METHODS] Common DEGs between T2DM and PAAD were identified from GEO datasets. Functional and pathway enrichment analyses were performed PPI, GO, and KEGG. Core genes were screened and their diagnostic value was validated by ROC curves. Immune infiltration and TF-mRNA-miRNA regulatory networks were constructed to explore disease mechanisms. Core gene expression and prognostic significance in PAAD were assessed using GEPIA2 and HPA. Potential therapeutics targeting core genes were predicted the Therapeutic Target Database.
[RESULTS] A total of 35 DEGs were identified. GO analysis linked these genes to cell adhesion and extracellular matrix (ECM) components. KEGG enrichment highlighted ECM-receptor interaction as the top pathway. Key ECM-related molecules-ITGA3, FN1, LAMB3, ITGA2, and LAMC2-were upregulated in both T2DM and PAAD. Six potential therapeutic agents targeting ITGA2, LAMB3, and FN1 were identified.
[CONCLUSION] Three genes and associated known drugs identified in this study may serve as potential targets for treating the coexistence of the two diseases.
🏷️ 키워드 / MeSH 📖 같은 키워드 OA만
- Humans
- Pancreatic Neoplasms
- Computational Biology
- Diabetes Mellitus
- Type 2
- Adenocarcinoma
- Laminin
- Fibronectins
- Gene Regulatory Networks
- Integrin alpha2
- Integrin alpha3
- Gene Expression Regulation
- Neoplastic
- Gene Expression Profiling
- Male
- Databases
- Genetic
- Extracellular matrix integrin
- chronic inflammation
- diabetes
- drug development
- pancreatic adenocarcinoma
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