Detection of Pancreatic Ductal Adenocarcinoma-Associated Proteins in Serum

T Mamie Lih; Liwei Cao; Parham Minoo; Gilbert S Omenn; Ralph H Hruban; Daniel W Chan; Oliver F Bathe; Hui Zhang

doi:10.1016/j.mcpro.2023.100687

Detection of Pancreatic Ductal Adenocarcinoma-Associated Proteins in Serum

Mol Cell Proteomics. 2024 Jan;23(1):100687. doi: 10.1016/j.mcpro.2023.100687. Epub 2023 Nov 27.

Authors

T Mamie Lih¹, Liwei Cao², Parham Minoo³, Gilbert S Omenn⁴, Ralph H Hruban⁵, Daniel W Chan⁶, Oliver F Bathe⁷, Hui Zhang⁸

Affiliations

¹ Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. Electronic address: [email protected].
² Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
³ Department of Pathology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
⁴ Departments of Computational Medicine & Bioinformatics, Internal Medicine, Human Genetics, and School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
⁵ Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, Maryland, USA; The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University, Baltimore, Maryland, USA; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
⁶ Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, Maryland, USA; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Department of Urology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
⁷ Departments of Surgery and Oncology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
⁸ Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, Maryland, USA; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Department of Urology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. Electronic address: [email protected].

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancer types, partly because it is frequently identified at an advanced stage, when surgery is no longer feasible. Therefore, early detection using minimally invasive methods such as blood tests may improve outcomes. However, studies to discover molecular signatures for the early detection of PDAC using blood tests have only been marginally successful. In the current study, a quantitative glycoproteomic approach via data-independent acquisition mass spectrometry was utilized to detect glycoproteins in 29 patient-matched PDAC tissues and sera. A total of 892 N-linked glycopeptides originating from 141 glycoproteins had PDAC-associated changes beyond normal variation. We further evaluated the specificity of these serum-detectable glycoproteins by comparing their abundance in 53 independent PDAC patient sera and 65 cancer-free controls. The PDAC tissue-associated glycoproteins we have identified represent an inventory of serum-detectable PDAC-associated glycoproteins as candidate biomarkers that can be potentially used for the detection of PDAC using blood tests.

Keywords: data-independent acquisition; glycoproteomics; mass spectrometry; pancreatic cancer; serum.

MeSH terms

Biomarkers, Tumor / metabolism
Carcinoma, Pancreatic Ductal* / metabolism
Glycoproteins
Humans
Mass Spectrometry
Pancreatic Neoplasms* / metabolism

Substances

Biomarkers, Tumor
Glycoproteins

Abstract

MeSH terms

Substances

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