N-glycan biosignatures as a potential diagnostic biomarker for early-stage pancreatic cancer
- Yan-Rong Wen 1, Xia-Wen Lin 1, Yu-Wen Zhou 2, Lei Xu 2, Jun-Li Zhang 2, Cui-Ying Chen 2, Jian He 3
- Yan-Rong Wen 1, Xia-Wen Lin 1, Yu-Wen Zhou 2
- 1Department of Nuclear Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, Jiangsu Province, China.
- 2Department of Research and Development, Sysdiagno (Nanjing) Biotech Co., Ltd, Nanjing 210008, Jiangsu Province, China.
- 3Department of Nuclear Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, Jiangsu Province, China. hjxueren@126.com.
- 0Department of Nuclear Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, Jiangsu Province, China.
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View abstract on PubMed
Summary
This summary is machine-generated.Early detection of pancreatic cancer (PDAC) is crucial for improving survival rates. A novel serum N-glycan biomarker signature shows promise for identifying early-stage PDAC, enhancing diagnostic capabilities.
Area Of Science
- Biochemistry
- Oncology
- Biomarker Discovery
Background
- Pancreatic ductal adenocarcinoma (PDAC) has a poor prognosis, with survival rates below 10% due to late diagnosis.
- Early detection of pancreatic cancer (PC) significantly improves patient survival outcomes.
Purpose Of The Study
- To identify serum biomarker signatures for early-stage PDAC using N-glycan analysis.
- To develop a diagnostic model for early-stage pancreatic cancer detection.
Main Methods
- Utilized a case-cohort study design with a large patient cohort including early-stage PDAC (I and II) and controls.
- Employed multiparametric analysis to identify specific N-glycan signatures.
- Developed an N-glycan signature-based diagnostic model termed the "Glyco-model".
Main Results
- A biomarker signature effectively discriminated PC patients from controls (AUC 0.86).
- Combining the signature with cancer antigen 19-9 improved discrimination (AUC 0.919).
- The Glyco-model showed high diagnostic performance across all PC stages, with 89.66% sensitivity for stage I PDAC.
Conclusions
- The developed serum biomarker signature shows potential as a viable method for early-stage PDAC detection.
- Prospective validation is recommended to confirm the clinical utility of this N-glycan signature.
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