Signaling Networks of Activated Oncogenic and Altered Tumor Suppressor Genes in Head and Neck Cancer.

摘要: Head and neck squamous cell carcinoma (HNSCC) arises from the upper aerodigestive tract is six most common cancers worldwide. HNSCC associated with high morbidity mortality, as standard surgery, radiation, chemotherapy can cause significant disfigurement only provide 5-year survival rates of ~50- 60%. The heterogeneity subsets different potentials for recurrence metastasis challenges traditional pathological classification system, thereby increasing demand development new diagnostic, prognostic, therapeutic tools based on global molecular signatures HNSCC. Historically, using classical biological techniques, it has been extremely difficult time-consuming to survey hundreds or thousands genes in a given disease. However, throughput technologies high-powered computation throughout last two decades enabled us investigate simultaneously. Using technologies, our laboratory identified gene protein networks, which significantly affect malignant phenotypes, including TP53/p63/p73 family members, IL-1/TNF-β/NF-κB, PI3K/AKT/mTOR, IL-6/IL-6R/JAK/STAT3, EGFR/MAPK/AP1, HGF/cMET/EGR1, TGFβ/TGFβR/TAK1/SMAD pathways. This review summarizes results high-throughput technological assays conducted samples, microarray, DNA methylation, miRNA profiling, array, primarily experimental data conclusions generated own laboratory. use bioinformatics integrated analyses sets platforms, well meta-analysis large datasets pulled multiple publicly available studies, provided higher statistical power extract biologically relevant information. suggested that genotype phenotype are much more complex than we previously thought. Understanding disease specific will be essential accurate diagnoses targeted therapy personalized treatment, an important effort toward improving patient outcomes.