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Pilot Multi-Omic Analysis of Human Bile from Benign and Malignant Biliary Strictures: A Machine-Learning Approach
Jesús M Urman1,2, José M Herranz3,4, Iker Uriarte3,4
1Department of Gastroenterology and Hepatology, Navarra University Hospital Complex, 31008 Pamplona, Spain.
Cancers
|June 25, 2020
Summary
Diagnosing biliary strictures is challenging. This study identifies novel lipid and protein biomarkers in bile using AI, achieving high accuracy in distinguishing benign from malignant conditions like cholangiocarcinoma and pancreatic cancer.
Area of Science:
- Gastroenterology
- Oncology
- Biochemistry
Background:
- Biliary strictures can stem from benign or malignant causes, complicating diagnosis.
- Cholangiocarcinoma (CCA) and pancreatic ductal adenocarcinoma (PDAC) are common causes of obstructive cholestasis.
- Differentiating benign from malignant biliary strictures remains a clinical challenge.
Purpose of the Study:
- To characterize bile composition in patients with biliopancreatic diseases.
- To identify diagnostic biomarkers for differentiating benign biliary strictures from malignant conditions (CCA, PDAC).
- To develop AI-driven algorithms for accurate etiological diagnosis of biliary strictures.
Main Methods:
- Metabolomic and proteomic analyses of bile samples.
- Utilized mass spectrometry (MS) and nuclear magnetic resonance spectroscopy (¹H-NMR).
- Implemented artificial intelligence (AI), including machine learning and neural networks (NN), for biomarker selection and predictive modeling.
Main Results:
- Identified panels of 10 lipids and 5 proteins with significant discriminatory power.
- AI-powered analysis of these biomarkers accurately differentiated between benign and malignant biliary strictures.
- Achieved unprecedented accuracy in the differential diagnosis of biliary strictures.
Conclusions:
- Bile lipid and protein profiles, analyzed by AI, offer a highly accurate method for diagnosing biliary strictures.
- This approach holds potential for improving the differential diagnosis of benign versus malignant causes of biliary obstruction.
- Novel biomarkers identified can aid clinicians in patient management and treatment decisions.
