Guohui Qin
Biotherapy Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Title: Comparative analysis of immune molecules in esophageal squamous cell carcinoma and adenocarcinoma
Biography
Biography: Guohui Qin
Abstract
Backgrounds: Esophageal cancer has become the sixth common reason of cancer death and causes approximately 400,000 deaths worldwide annually. Esophageal cancer can be divided into esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EA) according to the histopathology. ESCC mainly distributes in Asia, correlated with smoking and drinking, while the incidence of EA which is related to gastric reflux, Barrett’s esophagus and obesity increased year by year in Western countries. Previous studies have demonstrated TP53 with a high mutation rate in both pathologies, whereas TP63/SOX2, which is associated with cell differentiation, has a high mutation rate in ESCC. However, there are few studies on the expression patterns of tumor-associated immune molecules in esophageal carcinoma. Here, we investigated the correlation between different molecules and the prognosis of different pathological esophageal cancer with the analysis of ESCC, EA and normal tissue from TCGA database. Materials and Methods: In this study, 94 different ESCC and 89 cases of EA were screened for the differentially expressed genes in tumor tissues. We investigate the distribution of increased genes in KEGG pathways. With Venn diagram Analysis we clarify the similarities and differences of gene distribution in the development of ESCC and EA. And the correlation between the screened genes and their prognosis significance was analyzed with Kaplan-Meier methods. Findings: Compared with normal tissues, the expression of 3109 genes in ESCC was increased, while 2571 genes elevated in EA. In further enrichment analysis of the elevated genes, we found that the cytokine-cytokine receptor interaction pathway may play a crucial role in the tumorigenesis and development of esophageal cancer. The Venn diagram Analysis showed that 57 genes were identical in ESCC and EA, but 18 genes were found specially increased in ESCC and other 37 related genes were only significantly elevated in EA. With survival analysis, we got that TNFRSF10B was positively and CXCL14 was negatively correlated with ESCC prognosis. And CXCL8 and IL17RB in EA were negatively correlated with survival. Our further experiments will analyze the role of TNFRSF10B, CXCL14, CXCL8 and IL17RB in ESCC and EA respectively.
Conclusion: Different molecular mechanisms play significant role in occurrence and development in ESCC and EA, which determines the different prognosis and target treatment in esophageal carcinoma.