Eur opean Rev iew for Med ical and Pharmacol ogical Sci ences 2015; 19: 2423-2428 Integrated regulatory network involving differently expressed and -protein interaction on pancreatic cancer

J. LONG, X.-D. WU, Z. LIU, Y.-H. XU, C.-L. GE

Department of General Surgery, the First Hospital of China Medical University, Shenyang, China

Abstract. – OBJECTIVE: Pancreatic cancer is and women in the United States 1. In 2014, 46420 a deadly disease with poor prognosis. However, new cases and 39590 deaths are estimated to oc - comprehensive understanding about its patho - cur in America 2. Pancreatic ductal adenocarcino - genesis remains insufficient. In this study, we ma (PDAC), which is the most common and aimed to find potential novel approaches for the treatment of pancreatic cancer and explore the deadly form of pancreatic cancer , usually evolves regulatory mechanisms underlying pancreatic from noninvasive precursor lesions, intraductal cancer progression. papillary mucinous neoplasms and mucinous MATERIALS AND METHODS: The ex - cystic neoplasms 3. The predominant risk factors pression profile data GSE32688 were down - for pancreatic cancer are smoke, age and genetic loaded from Omnibus data - disorders. It has been found that smoke accounts base followed by background correction and 3 normalization through GCRMA (GC Robust Mul - for about 20% formation of pancreatic tumors . ti-array Average) method. Then DEGs (differen - In addition, pancreatic cancer is more prevalent tially expressed genes) were identified using t- among the elderly than the younger 4. test method and DEGs-related PPIs (protein-pro - Pancreatic cancer is an aggressive malignancy tein interaction) were extracted from STRING with extremely high mortality . For this reason , database. The PPI networks were constructed by surgical resection is usually not adequate for calculating the pearson correlation coefficient treatment of this disease 5. The use of endoscopic under different conditions. Moreover, the net - work was divided into a number of unit modules, ultrasound (EUS) is a great improvement in the 6 and KEGG pathway and GO analysis were per - diagnosis of pancreatic cancer , but it is often di - formed for genes in module networks using agnosed in the advanced stage and only a small clusterProfiler. fraction of the tumors are localized and potential - RESULTS: In total, 199 DEGs (165 up-regulated ly curable 4, which make the outcome of surgical genes and 34 down-regulated genes) were resection unsatisfactory. Therefore, numerous screened between tumor and normal samples. The integrated DEG. PPI network was estab - studies were conducted to investigate effective lished by comparing two different networks un - adjuvant chemotherapies and neoadjuvant treat - der tumor and normal conditions respectively. ments for pancreatic cancer 7,8 . Among them, The top ten genes with high degrees such as gemcitabine has been demonstrated to improve ANLN , PSRC1 and ECT2 were identified in the in - median disease-free survival , and was suggested tegrated network, and they were mainly enriched as effective adjuvant chemotherapy in resectable in cell cycle pathway. carcinoma of the pancreas 9. Despite the advance CONCLUSIONS: ECT2 and PSRC1 might be used as two novel biomarkers for diagnosis and in detection and management of pancreatic can - management of pancreatic cancer. cer, the overall 5-year survival rate maintained less than 5% for almost 50 years 10 . Key Words: Better understanding of the pathogenesis of Pancreatic cancer, Regulatory network, ANLN, pancreatic cancer contributes to more effective ECT2, PSRC1, Bioinformatics methods . approaches to prevent and control this disease. Previous researches indicated that the develop - ment of pancreatic cancer was associated with Introduction accumulation of genetic alterations including mutations of oncoge