ATIEH POURBAGHERI-SIGAROODI1, MAJID MOMENY2, NIMA REZAEI3,4,5, FATEMEH FALLAH1,*, DAVOOD BASHASH6,*
BIOCELL, Vol.48, No.12, pp. 1781-1804, 2024, DOI:10.32604/biocell.2024.055848
- 30 December 2024
Abstract Background: Despite progress in therapeutic strategies, treatment failure in hepatocellular carcinoma (HCC) remains a major challenge, resulting in low survival rates. The presence of bacteria and the host’s immune response to bacteria can influence the pathogenesis and progression of HCC. We developed a risk model based on bacterial response-related genes (BRGs) using gene sets from molecular signature databases to identify new markers for predicting HCC outcomes and categorizing patients into different risk groups. Methods: The data from the Cancer Genome Atlas (TCGA) portal was retrieved, and differentially expressed BRGs were identified. Uni- and multivariate Cox… More >
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