Abstract
Intrahepatic cholangiocarcinoma (ICC) is the second-most-common primary liver cancer with increasing incidence and mortality worldwide. Although tumor metastasis is frequent even in ICC, improved robust strategies to identify patients at high risk for metastasis remains limited. Batch effects and different data types greatly decrease the predictive performances of signatures based on gene/protein expression profiles in inter-laboratory and different data type validation.
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