This bioinformatics study aimed to characterize and certify crucial anti-cancer targets, functional processes, and molecular mechanisms of Pachyman in treating hepatocellular carcinoma (HCC) by using pharmacology network and molecular docking analyses, by experimental validation. The crucial anti-HCC targets of Pachyman, including ALB, VEGFA, TNF, CASP3, SRC, EGF, CXCR4, STAT3, HRAS, HSP90AA1, MMP9, BCL2L1, FGF2, and PTPRC, were identified. In addition, the correlative networks of all crucial biotargets of Pachyman in treating HCC were created accordingly.
View Article and Find Full Text PDFHepatocellular carcinoma (HCC) is one of the most common lethal cancers worldwide. To explore the potential prognosis-associated microRNAs (miRNAs) for HCC patients, we performed integrated analyses on the miRNA expression profiles from The Cancer Genome Atlas project. Genome-wide overall survival (OS)- and progression-free survival (PFS)-associated miRNA screening were performed by multivariate Cox proportional hazards regression analyses.
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