ReviewInternational journal of molecular sciences2026
Advances in In Vitro Diagnostics for Cholangiocarcinoma: From Biomarker Discovery to Artificial Intelligence.
Review in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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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.
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Authors and funding
4 authors.
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Abstract
Cholangiocarcinoma (CCA) is a highly aggressive malignancy that is difficult to diagnose early and carries a poor prognosis. Conventional serological diagnostics are limited by inadequate sensitivity and the risks of invasive procedures, resulting in most patients being diagnosed at an advanced stage. In recent years, liquid biopsy has emerged as a novel approach for non-invasive and dynamic molecular tumor monitoring by detecting biomarkers such as circulating tumor cells (CTCs), extracellular vesicles (EVs), circulating tumor DNA (ctDNA) and clusterin (CLU). Furthermore, artificial intelligence (AI) has demonstrated strong potential in aiding diagnosis through medical image analysis, pathological pattern recognition, and multi-omics data integration, significantly improving the precision of early detection, risk stratification, and treatment response monitoring in CCA. This review systematically summarizes recent advances in liquid biopsy and AI for CCA diagnosis, discusses their clinical potential and current challenges, and offers perspectives on how their integration can propel the field toward earlier and more precise management of the disease.
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