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Cancer is a complex and heterogeneous genetic disease. Different mutations and dysregulated molecular mechanisms alter the pathways that lead to cell proliferation. In this paper, we explore a method which classifies genes into oncogenes (ONGs) and tumor suppressors. We optimize this method to identify specific (ONGs) and tumor suppressors for breast cancer, lung adenocarcinoma (LUAD), lung squamous cell carcinoma (LUSC) and colon adenocarcinoma (COAD), using data from the cancer genome atlas (TCGA). A set of genes were previously classified as ONGs and tumor suppressors across multiple cancer types (Science 2013). Each gene was assigned an ONG score and a tumor suppressor score based on the frequency of its driver mutations across all variants from the catalogue of somatic mutations in cancer (COSMIC). We evaluate and optimize this approach within different cancer types from TCGA. We are able to determine known driver genes for each of the four cancer types. After establishing the baseline parameters for each cancer type, we identify new driver genes for each cancer type, and the molecular pathways that are highly affected by them. Our methodology is general and can be applied to different cancer subtypes to identify specific driver genes and improve personalized therapy.
A recent large genome-wide association meta-analysis revealed that the human WWOX gene is regarded as one of the five newly identified risk factors for Alzheimer’s disease (AD). However, this study did not functionally characterize how WWOX protein deficiency affects AD initiation, progression and neurodegeneration. In this review, evidence and perspectives are provided regarding how WWOX works in limiting neurodegeneration. Firstly, loss of WWOX/Wwox gene leads to severe neural diseases with degeneration, metabolic disorder and early death in the newborns. Downregulation of pY33-WWOX may start at middle ages, and this leads to slow aggregation of a cascade of proteins, namely TRAPPC6AΔ, TIAF1 and SH3GLB2, that leads to amyloid-beta (Aβ) formation and tau tangle formation in old-aged AD patients. Secondly, functional antagonism between tumor suppressors p53 and WWOX may occur in vivo, in which p53-mediated inflammation is blocked by WWOX. Loss of balance in the functional antagonism leads to aggregation of pathogenic proteins for AD such as tau and Aβ in the brain cortex and hippocampus. Thirdly, downregulation of pY33-WWOX is accompanied by upregulation of pS14-WWOX. The event frequently correlates with enhanced AD progression and cancer cell growth in vivo. A small peptide Zfra4-10 dramatically suppresses pS14-WWOX and restores memory loss in triple transgenic (3xTg) mice, and inhibits cancer growth in mice as well. Finally, a supporting scenario is that WWOX deficiency induces enhanced cell migration and loss of cell-to-cell recognition. This allows the generation of neuronal heterotopia and associated epileptic seizure in WWOX-deficient newborn patients.
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