ArticleHepatology communications2025
Integrating multi-omics in bile for biomarker discovery in cholangiocarcinoma.
Article in Hepatology communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Unraveling role of arginine-NO metabolism by targeting HIF-1α signaling in mediating esophageal squamous cell carcinoma.Frontiers in molecular biosciences · 2026Article
- Biliary Microbiome Dysbiosis Is Associated with Susceptibility to Post-ERCP Pancreatitis.Endoscopy international open · 2026Article
- A Proteomics and Metabolomics-based Approach to Biomarkers Identification for the Early Diagnosis of Cholangiocarcinoma in a Hamster Model: A Preliminary Study.Asian Pacific journal of cancer prevention : APJCP · 2026Article
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.
Funding
Abstract
backgroundCholangiocarcinoma (CCA) is an aggressive cancer with a poor prognosis. Histopathology evaluation of brushings and biopsies obtained during endoscopic retrograde cholangiopancreatography (ERCP) currently remains the main method of diagnosis, which has limited sensitivity for malignancy detection. Our study aimed to identify human bile-derived biomarkers to improve CCA diagnosis. Bile samples were collected from patients during ERCP for primary sclerosing cholangitis, CCA, or benign biliary disease.
methodsBile samples were collected from patients undergoing ERCP for biliary obstruction due to primary sclerosing cholangitis, newly identified malignant strictures concerning for CCA, or benign biliary disease. Using 16S sequencing, metabolomics, and bile acid quantification, we aimed to identify distinctive microbial and metabolite signatures associated with CCA.
resultsMulti-omics analyses revealed distinct microbial and metabolite signatures associated with CCA. From these findings, we identified and validated microbial and metabolite markers capable of accurately detecting CCA with improved sensitivity and specificity for malignancy detection compared to current cytology-based methods.
conclusionsThese findings highlight the potential of multi-omics bile-based diagnostic panels to enhance endoscopic detection of biliary malignancies, offering a promising tool for evaluating indeterminate biliary strictures and advancing precision in ERCP diagnostics.
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.