Evaluation of tumor targets selected from public genomic databases for imaging of pancreatic ductal adenocarcinoma.
1/5 보강
Pancreatic ductal adenocarcinoma (PDAC) is an aggressive malignancy with a 5-year survival rate of approximately 5-7%, and complete surgical resection remains the only curative treatment but is often
- p-value p < 0.001
APA
Badr N, Elshof LT, et al. (2025). Evaluation of tumor targets selected from public genomic databases for imaging of pancreatic ductal adenocarcinoma.. Scientific reports, 15(1), 17102. https://doi.org/10.1038/s41598-025-00517-1
MLA
Badr N, et al.. "Evaluation of tumor targets selected from public genomic databases for imaging of pancreatic ductal adenocarcinoma.." Scientific reports, vol. 15, no. 1, 2025, pp. 17102.
PMID
40379788 ↗
Abstract 한글 요약
Pancreatic ductal adenocarcinoma (PDAC) is an aggressive malignancy with a 5-year survival rate of approximately 5-7%, and complete surgical resection remains the only curative treatment but is often unfeasible. Fluorescence-guided surgery (FGS) using tumor-targeted probes may improve tumor visualization and facilitate complete resection. This study aimed to identify and validate tumor targets for FGS during PDAC resection procedures. RNA expression data from over 4000 cell surface genes, obtained from public genomic databases, were analyzed to identify genes encoding PDAC-associated proteins. Eleven potential tumor targets were identified, including CEACAM5, TMPRSS4, COL17A1, CLDN18, and AQP5. Protein expression was evaluated by immunohistochemistry (IHC) in tissues from 44 PDAC and 7 chronic pancreatitis (CP) patients. All targets, except COL17A1, showed significantly higher expression in PDAC tissue compared to healthy pancreatic, CP, and duodenal tissue (p < 0.001), as well as in tumor-positive versus tumor-negative lymph nodes. Especially CEACAM5, TMPRSS4, and AQP5 were identified as the most promising targets for distinguishing PDAC from healthy tissues and detecting lymph node metastasis during FGS. The development of probes targeting multiple markers, such as AQP5 with CEACAM5 and/or TMPRSS4, may help overcome interpatient variability and enhance detection across patients.
🏷️ 키워드 / MeSH 📖 같은 키워드 OA만
- Humans
- Carcinoma
- Pancreatic Ductal
- Pancreatic Neoplasms
- Female
- Male
- Middle Aged
- Databases
- Genetic
- Aged
- Biomarkers
- Tumor
- Aquaporin 5
- Serine Endopeptidases
- Claudins
- Carcinoembryonic Antigen
- Gene Expression Regulation
- Neoplastic
- Membrane Proteins
- GPI-Linked Proteins
- Immunohistochemistry
- Data-driven approach
- Fluorescence-guided surgery
- Molecular imaging
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🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반
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