ArticleJournal of proteome research2014
Glycoprotein biomarker panel for pancreatic cancer discovered by quantitative proteomics analysis.
Article in Journal of proteome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
67 citing papers in PubMed, 1 synthesis or guideline pooled it, 125 citations in OpenAlex.
- Clinical Perspective on Proteomic and Glycomic Biomarkers for Diagnosis, Prognosis, and Prediction of Pancreatic Cancer.International journal of molecular sciences · 2021Pooled it
- Solvent Interaction Analysis: A New Lens for Protein Structure and Diagnostics.International journal of molecular sciences · 2026Review
- Catching pancreatic cancer early: Are we there yet?Journal of the National Cancer Center · 2026Review
- Discovery of a Secretory Granule Lumen-Enriched Serum Protein Signature in Resectable Pancreatic Ductal Adenocarcinoma.Medicina (Kaunas, Lithuania) · 2026Article
- Confirmatory Clinical Validation of a Serum-Based Biomarker Signature for Detection of Early-Stage Pancreatic Ductal Adenocarcinoma.Current oncology (Toronto, Ont.) · 2025Article
- Library-based virtual match-between-runs quantification in GlyPep-Quant improves site-specific glycan identification.Nature communications · 2025Article
- Affinity on Demand: A One-Pot Method for Synthesis and Sample Enrichment Using TentaGel-Functionalized Resins.ACS omega · 2025Article
- Blood-based biomarkers in pancreatic ductal adenocarcinoma: developments over the last decade and what holds for the future- a review.Frontiers in oncology · 2025Review
- Optimization of glycopeptide enrichment techniques for the identification of clinical biomarkers.Expert review of proteomics · 2024Review
- Multibiomarker panels in liquid biopsy for early detection of pancreatic cancer - a comprehensive review.Journal of experimental & clinical cancer research : CR · 2024Review
- Plasma THBS1 as a predictive biomarker for poor prognosis and brain metastasis in patients with HER2-enriched breast cancer.International journal of clinical oncology · 2024Article
- Robust Glycoproteomics Platform Reveals a Tetra-Antennary Site-Specific Glycan Capping with Sialyl-Lewis Antigen for Early Detection of Gastric Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Mass spectrometry analysis of intact proteinJournal of Zhejiang University. Science. B · 2024Article
- Aberrant Glycosylation in Pancreatic Ductal Adenocarcinoma 3D Organoids Is Mediated by KRAS Mutations.Journal of oncology · 2024Article
- Disease specific urinary biomarkers in the central nervous system.Scientific reports · 2023Article
- Deciphering the Properties and Functions of Glycoproteins Using Quantitative Proteomics.Journal of proteome research · 2023Review
- Chemical conjugation to differentiate monosaccharides by Raman and surface enhanced Raman spectroscopy.The Analyst · 2023Article
- David M. Lubman-The University of Michigan-A retrospective in research.Mass spectrometry reviews · 2023Review
- Systematic characterization of extracellular glycoproteins using mass spectrometry.Mass spectrometry reviews · 2023Review
- Methods for quantification of glycopeptides by liquid separation and mass spectrometry.Mass spectrometry reviews · 2023Review
7 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
Pancreatic cancer is a lethal disease where specific early detection biomarkers would be very valuable to improve outcomes in patients. Many previous studies have compared biosamples from pancreatic cancer patients with healthy controls to find potential biomarkers. However, a range of related disease conditions can influence the performance of these putative biomarkers, including pancreatitis and diabetes. In this study, quantitative proteomics methods were applied to discover potential serum glycoprotein biomarkers that distinguish pancreatic cancer from other pancreas related conditions (diabetes, cyst, chronic pancreatitis, obstructive jaundice) and healthy controls. Aleuria aurantia lectin (AAL) was used to extract fucosylated glycoproteins and then both TMT protein-level labeling and label-free quantitative analysis were performed to analyze glycoprotein differences from 179 serum samples across the six different conditions. A total of 243 and 354 serum proteins were identified and quantified by label-free and TMT protein-level quantitative strategies, respectively. Nineteen and 25 proteins were found to show significant differences in samples between the pancreatic cancer and other conditions using the label-free and TMT strategies, respectively, with 7 proteins considered significant in both methods. Significantly different glycoproteins were further validated by lectin-ELISA and ELISA assays. Four candidates were identified as potential markers with profiles found to be highly complementary with CA 19-9 (p < 0.001). Obstructive jaundice (OJ) was found to have a significant impact on the performance of every marker protein, including CA 19-9. The combination of α-1-antichymotrypsin (AACT), thrombospondin-1 (THBS1), and haptoglobin (HPT) outperformed CA 19-9 in distinguishing pancreatic cancer from normal controls (AUC = 0.95), diabetes (AUC = 0.89), cyst (AUC = 0.82), and chronic pancreatitis (AUC = 0.90). A marker panel of AACT, THBS1, HPT, and CA 19-9 showed a high diagnostic potential in distinguishing pancreatic cancer from other conditions with OJ (AUC = 0.92) or without OJ (AUC = 0.95).
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.