Towards precision medicine to detect, characterize and treat liver cancer: Large-scale data analyses using genome-wide networks

Abstract

In summary, various systems biology approaches were applied to identify a potential genesignature set to monitor CLD progression which can help in the early detection of HCC. An unbiased analysis of metabolic alterations in HCC provided a list of top-ranked variations, rerouting of metabolism in cancer and identified potential drug targets for improving chemotherapy. As a novel analysis, mutational profiles in individual patients have been linked to the most perturbed pathways and indicating that multiple types of aberrations can converge into a common phenotype. Mutation profiles associated with HCC oncogenesis were identified. The analysis also lead to the generation of a genome to phenome landscape of HCC