Data integration with phenotypes such as gene expression, pathways or function, and protein-protein interactions data has proven to be a highly promising technique for improving human complex diseases, particularly cancer patient outcome prediction. Hepatocellular carcinoma is one of the most prevalent cancers, and the most common cause is chronic HBV and HCV infection, which is linked to the majority of cases, and HBV and HCV play a role in multistep carcinogenesis progression. We examined the list of known hepatocellular carcinoma biomarkers with the publicly available expression profile dataset of hepatocellular carcinoma infected with HCV from day 1 to day 10 in this study. The study covers an overexpression pattern for the selected biomarkers in clinical hepatocellular carcinoma patients, a combined investigation of these biomarkers with the gathered temporal dataset, temporal expression profiling changes, and temporal pathway enrichment following HCV infection. Following a temporal analysis, it was discovered that the early stages of HCV infection tend to be more harmful in terms of expression shifting patterns, and that there is no significant change after that, followed by a set of genes that are consistently altered. PI3K, cAMP, TGF, TNF, Rap1, NF-kB, Apoptosis, Longevity regulating pathway, signaling pathways regulating pluripotency of stem cells, Cytokine-cytokine receptor interaction, p53 signaling, Wnt signaling, Toll-like receptor signaling, and Hippo signaling pathways are just a few of the most commonly enriched pathways. The majority of these pathways are well-known for their roles in the immune system, infection and inflammation, and human illnesses like cancer. We also find that ADCY8, MYC, PTK2, CTNNB1, TP53, RB1, PRKCA, TCF7L2, PAK1, ITPR2, CYP3A4, UGT1A6, GCK, and FGFR2/3 appear to be among the prominent genes based on the networks of genes and pathways based on the copy number alterations, mutations, and structural variants study.

Corticosteroids have been in use for decades and are one of the most prescribed drugs in all specialties of medicine. Jerome Posner, in his classic textbook “Neurological Complications of Cancer,” refers to corticosteroids as widely used drugs in neuro-oncology leading to a remarkable decline in perioperative mortality and morbidity rates. Being the most powerful class of tumor-induced-edema reducing agents, they are adjuvant to chemotherapy and are also known to reduce the risk of encephalopathy and other associated neurological deficits in patients undergoing radiation therapy. They have been widely used in higher-than-normal doses in the management of pathologic, immunological, and inflammatory conditions and various other diseases. Novel insights into the mechanisms of action of corticosteroids and their effects on cancer patients are extensively being studied. While substantial clinical improvements can be seen in cancer patients, corticosteroids are also associated with adverse and well-characterized side effects leading to immediate as well as long-term complications in patients. This chapter reviews the clinical aspects of corticosteroid therapy used in neuro-oncological conditions and its effects on peritumoral edema. Although there is currently insufficient information on appropriate use, in most cases, corticosteroids are used in a supraphysiological and pharmacological manner to minimize the symptoms of cerebral edema. Due to limited clinical studies and evident side effects presenting synonymously with corticosteroid therapy, the emerging role of steroid-sparing drugs such as corticotrophin-releasing factors, tyrosine kinase inhibitors, and VEGF inhibitors will also be discussed.