ArticleGastroenterology report2015
Bile proteomics for differentiation of malignant from benign biliary strictures: a pilot study.
Article in Gastroenterology report, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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
25 citing papers in PubMed.
- Emerging omics diagnosis of perihilar cholangiocarcinoma.Journal of gastroenterology · 2026Article
- Primary sclerosing cholangitis: a narrative review of diagnostic and prognostic biomarkers.Translational gastroenterology and hepatology · 2025Review
- Cytoskeleton Remodeling-Related Proteins Represent a Specific Salivary Signature in PSC Patients.Molecules (Basel, Switzerland) · 2024Article
- The Clinical Utility of the Saliva Proteome in Rare Diseases: A Pilot Study for Biomarker Discovery in Primary Sclerosing Cholangitis.Journal of clinical medicine · 2024Article
- Identification of a novel bile marker clusterin and a public online prediction platform based on deep learning for cholangiocarcinoma.BMC medicine · 2023Article
- Biliary Metabolome Profiling for Evaluation of Liver Metabolism and Biliary Tract Function Related to Organ Preservation Method and Degree of Ischemia in a Porcine Model.International journal of molecular sciences · 2023Article
- Insight into the mechanism of gallstone disease by proteomic and metaproteomic characterization of human bile.Frontiers in microbiology · 2023Article
- The application of high-throughput proteomics in cytopathology.Journal of pathology and translational medicine · 2022Review
- Quantitative bile and serum proteomics for the screening and differential diagnosis of primary sclerosing cholangitis.PloS one · 2022Article
- Transcriptome Analysis of Liver Cancer Cell Huh-7 Treated With Metformin.Frontiers in pharmacology · 2022Article
- Review
- Pilot Multi-Omic Analysis of Human Bile from Benign and Malignant Biliary Strictures: A Machine-Learning Approach.Cancers · 2020Article
- Evaluation of kininogen 1, osteopontin and α-1-antitrypsin in plasma, bronchoalveolar lavage fluid and urine for lung squamous cell carcinoma diagnosis.Oncology letters · 2020Article
- Prognostic Nomogram That Predicts Overall Survival of Patients with Distal Cholangiocarcinoma After Pancreatoduodenectomy.Cancer management and research · 2020Article
- Quantitative proteomic analysis of bile in extrahepatic cholangiocarcinoma patients.Journal of Cancer · 2020Article
- Advances on diagnostic biomarkers of pancreatic ductal adenocarcinoma: A systems biology perspective.Computational and structural biotechnology journal · 2020Review
- Preoperative Bilirubin-Adjusted Carbohydrate Antigen 19-9 as a Prognostic Factor for Extrahepatic Cholangiocarcinoma Patients at a Single Center.Cancer management and research · 2020Article
- UEG Week 2019 Poster Presentations.United European gastroenterology journal · 2019Article
- Potential candidate treatment agents for targeting of cholangiocarcinoma identified by gene expression profile analysis.Biomedical reports · 2018Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundDetermining the etiology of biliary strictures is challenging, and the sensitivities of the current tests to diagnose them are low. Protein biomarkers in bile, in combination with other tests, may improve sensitivity in diagnosing biliary strictures.
objectiveTo analyse the differential abundance of proteins in benign and malignant biliary strictures through proteomic analysis of bile.
methodsIn this prospective, cross-sectional study, bile was aspirated in 24 patients undergoing endoscopic retrograde cholangiopancreatography (ERCP) including six patients with primary sclerosing cholangitis (PSC), three with cholangiocarcinoma (CCA), ten with pancreatic cancer, and five with benign biliary conditions. Liquid chromatography/mass spectrometry was used to examine the bile for differential abundance of protein biomarkers. The relative abundance of various proteins was compared in the malignant vs. benign groups and in CCA vs. PSC.
resultsThe majority of the proteins identified in bile were similar to those of the plasma (plasma proteins) and certain proteins were differentially expressed among the different groups (CCA, pancreatic cancer, PSC or benign). A total of 18 proteins were identified as being more abundant in the malignant group (CCA and pancreatic cancer) than in the benign strictures group, including myeloperoxidase, complement C3, inter-alpha-trypsin inhibitor heavy chain H4, apolipoprotein B-100, and kininogen-1 isoform 2. A total of 30 proteins were identified to be less abundant in the malignant group than in the benign group, including trefoil factor 2, superoxide dismutase [Cu-Zn], kallikrein-1, carboxypeptidase B and trefoil factor 1.
conclusionsProtein biomarkers in bile may differentiate malignant from benign biliary strictures. Larger studies are warranted to validate these observations.
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.