ABSTRACT. The goal of this study was to investigate the expression profiles of nuclear factor-kappa B (NF-κB) and epidermal growth factor receptor (EGFR) in esophageal cancer and to determine their association with tumor prognosis. This study included 40 esophageal cancer patients [22 men and 18 women; average age = 62.7 ± 3.9 years; tumor-node-metastasis (TNM) staging: 12 patients with stage I, 13 patients with stage II, and 15 patients with stage III disease]. Tumor tissues and tumor-adjacent tissue specimens were collected during radical resections at our hospital. Immunohistochemical staining was used to examine these tissues for NF-κB and EGFR expression. Follow-up of all patients included gathering information such as the 3-year survival rate. We found that NF-κB and EGFR expression was significantly higher in tumor tissues compared to tumor-adjacent normal tissues. Expression was not related to gender or age, but was positively associated with the degree of tumor infiltration. NF-κB and EGFR expression levels gradually increased with higher TNM stage, but this difference was not significant. Follow-up results showed that 16820 Y.Q. Zhang et al.©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 14 (4): 16819-16826 (2015) patients with higher NF-κB and EGFR levels had a lower survival rate and unfavorable prognosis. In conclusion, we found that NF-κB and EGFR expression was significantly elevated during the occurrence and development of esophageal carcinoma, and expression of these factors appears to be correlated with cancer progression. Higher expression of both genes is associated with an unfavorable prognosis.

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In the original article, there was a mistake in Figure 4 as published. The western blot of reference gene (GAPDH) in hypoxia group in Figure 4D was incorrectly used and plotted in this figure. However, this mistake doesn't affect the results of experiment and understanding of our research on purpose. The corrected Figure 4 appears below.

Background: Glioblastoma multiforme (GBM) is the most malignant tumor in human brain, with highly heterogeneity among different patients. Age could function as an incidence and prognosis risk factor for many tumors.Method: A series of bioinformatic experiments were conducted to evaluate the differences of incidence, differential expressed genes, enriched pathways with the data from Surveillance, Epidemiology, and End Results (SEER) program, the cancer genome atlas (TCGA) and Chinese glioma genome atlas (CGGA) project.Results: We discovered in our present study that distinct difference of incidence and prognosis of different aged GBM patients. By a series of bioinformatic method, we found that the tumor associated fibroblasts (TAFs) was the most crucial tumor microenvironment (TME) component that led to this phenomenon. Epithelial-mesenchymal transition (EMT) could be the mechanism by which TAFs regulate the progression of GBM. Conclusion: We have proposed a close correlation between age and GBM incidence and prognosis, and propose the underlying mechanism behind this correlation by mining different databases, which laid the foundation for future research.