The importance of genetic background in recurrent hcc and the bioinformatics analysis of gene data associated with recurrent hcc
Aim: Known for its high recurrence rates and potential to metastasize and recur after liver transplantation or hepatectomy, HCC requires effective management, comprehensive surveillance and specialized therapies. Bioinformatics and machine learning play a key role in analyzing large datasets to reveal genetic and molecular insights into HCC metastasis and help identify potential biomarkers and therapeutic targets. This study aims to identify biomarkers associated with HCC recurrence by analyzing gene expression in primary and recurrent tumor tissues.