| Literature DB >> 33711308 |
Ziba Lotfi1, Shiva Najjary1, Fariba Lotfi1, Mohammad Amini1, Amir Baghbanzadeh1, Darya Javad Rashid1, Elmira Roshani Asl2, Behzad Baradaran3, Ahad Mokhtarzadeh4.
Abstract
Pancreatic cancer (PC) is the seventh leading cause of cancer-related deaths worldwide with 5-year survival rates below 8%. Most patients with PC and pancreatic ductal adenocarcinoma (PDAC) die after relapse and cancer progression as well as resistance to treatment. Pancreatic tumors contain a high desmoplastic stroma that forms a rigid mass and has a potential role in tumor growth and metastasis. PC initiates from intraepithelial neoplasia lesions leading to invasive cancer through various pathways. These lesions harbor particular changes in signaling pathways involved in the tumorigenesis process. These events affect both the epithelial cells, including the tumor and the surrounding stroma, and eventually lead to the formation of complex signaling networks. Genetic studies of PC have revealed common molecular features such as the presence of mutations in KRAS gene in more than 90% of patients, as well as the inactivation or deletion mutations of some tumor suppressor genes including TP53, CDKN2A, and SMAD4. In recent years, studies have also identified different roles of microRNAs in PC pathogenesis as well as their importance in PC diagnosis and treatment, and their involvement in various signaling pathways. In this study, we discussed the most common pathways involved in PC and PDAC as well as their role in tumorigenesis and progression. Furthermore, the miRNAs participating in the regulation of these signaling pathways in PC progression are summarized in this study. Therefore, understanding more about pathways involved in PC can help with the development of new and effective therapies in the future.Entities:
Keywords: MicroRNAs; Pancreatic cancer; Pancreatic ductal adenocarcinoma; Signaling pathways
Year: 2021 PMID: 33711308 DOI: 10.1016/j.ejphar.2021.174006
Source DB: PubMed Journal: Eur J Pharmacol ISSN: 0014-2999 Impact factor: 4.432