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Machine Learning-based Exosome Liquid Biopsy Enables Stratification of Occult Metastasis Risk in Patients With Intrahepatic Cholangiocarcinoma
Occult metastasis at the time of surgery is a major driver of poor outcomes in intrahepatic cholangiocarcinoma (ICC), yet reliable preoperative biomarkers to identify such patients are lacking. The EXOMIC study aims to develop and validate a circulating exosomal microRNA (exo-miRNA)-based liquid biopsy assay to detect occult metastasis preoperatively in patients with resectable ICC.
Intrahepatic cholangiocarcinoma (ICC) incidence is rising globally, and prognosis remains poor. Patients harboring occult micrometastases that are not detected on preoperative imaging often experience rapid recurrence and significantly worse survival. Tumor-derived exosomes contribute to pre-metastatic niche formation and carry microRNAs that reflect aggressive metastatic potential. Circulating exosomal microRNA profiles may serve as non-invasive biomarkers to reveal occult metastasis before surgery. Preoperative exosomes will be analyzed using small RNA sequencing (discovery) followed by RT-qPCR validation and machine-learning modeling to develop a predictive score for occult metastasis. The study will evaluate diagnostic performance (sensitivity, specificity, accuracy, AUROC), prognostic relevance (OS/RFS), and clinical utility (decision curve analysis) to establish a biologically informed framework for treatment stratification in ICC.
Age
18 - No limit years
Sex
ALL
Healthy Volunteers
No
City of Hope Medical Center
Duarte, California, United States
Start Date
June 21, 2024
Primary Completion Date
January 18, 2026
Completion Date
February 18, 2026
Last Updated
March 13, 2026
230
ACTUAL participants
EXOMIC small RNA sequencing
DIAGNOSTIC_TEST
EXOMIC assay (qRT-PCR validation)
DIAGNOSTIC_TEST
Lead Sponsor
City of Hope Medical Center
NCT07337850
NCT06925516
Data Source & Attribution
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View ClinicalTrials.gov Terms and ConditionsNCT06862934