Abstract
Pancreatic cancer is an aggressive malignancy that carries a high mortality rate. A major contributor to the poor outcome is the lack of effective molecular markers. The purpose of this study was to develop protein markers for improved prognostication and noninvasive diagnosis. A mass spectrometry (MS)-based discovery approach was applied to pancreatic cancer tissues and healthy pancreas. In the verification phase, extracellular proteins with differential expression were further quantified in targeted mode using parallel reaction monitoring (PRM). Next, a tissue microarray (TMA) cohort including 140 pancreatic cancer resection specimens was constructed, in order to validate protein expression status and investigate potential prognostic implications. The levels of protein candidates were finally assessed in a prospective series of 110 serum samples in an accredited clinical laboratory using the automated Cobas system. Protein sequencing with nanoliquid chromatography tandem MS (nano-LC-MS/MS) and targeted PRM identified alpha-1-acid glycoprotein 1 (AGP1) as an upregulated protein in pancreatic cancer tissue. Using TMA and immunohistochemistry, AGP1 expression was significantly associated with shorter overall survival (HR = 2.22; 95% CI 1.30–3.79, P = 0.004). Multivariable analysis confirmed the results (HR = 1.87; 95% CI 1.08–3.24, P = 0.026). Circulating levels of AGP1 yielded an area under the curve (AUC) of 0.837 for the discrimination of resectable pancreatic cancer from healthy controls. Combining AGP1 with CA 19-9 enhanced the diagnostic performance, with an AUC of 0.963. This study suggests that AGP1 is a novel prognostic biomarker in pancreatic cancer tissue. Serum AGP1 levels may be useful as part of a biomarker panel for early detection of pancreatic cancer but further studies are needed.
| Original language | English |
|---|---|
| Pages (from-to) | 67-79 |
| Number of pages | 13 |
| Journal | Translational Research |
| Volume | 212 |
| DOIs | |
| Publication status | Published - 2019 Jun 29 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Subject classification (UKÄ)
- Clinical Laboratory Medicine
- Bioinformatics and Computational Biology
Fingerprint
Dive into the research topics of 'Alpha-1-acid glycoprotein 1 is upregulated in pancreatic ductal adenocarcinoma and confers a poor prognosis'. Together they form a unique fingerprint.Research output
- 1 Doctoral Thesis (compilation)
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Mass Spectrometry-Based Protein Biomarker Discovery in Pancreatic Cancer
Zhou, Q., 2020, Lund: Lund University, Faculty of Medicine. 84 p.Research output: Thesis › Doctoral Thesis (compilation)
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