Noncoding RNAs as potential biomarkers to predict the outcome in pancreatic cancer

Kaizhou Jin,^1–3,* Guopei Luo,^1–3,* Zhiwen Xiao,^1–3 Zuqiang Liu,^1–3 Chen Liu,^1–3 Shunrong Ji,^1–3 Jin Xu,^1–3 Liang Liu,^1–3 Jiang Long,^1–3 Quanxing Ni,^1–3 Xianjun Yu<sup>1–3

1</sup>Department of Pancreatic and Hepatobiliary Surgery, Fudan University Shanghai Cancer Center, ²Department of Oncology, Shanghai Medical College, Fudan University, ³Pancreatic Cancer Institute, Fudan University, Shanghai, People’s Republic of China

^*These authors contributed equally to this work

Abstract: Pancreatic ductal adenocarcinoma (PDAC), a common digestive system cancer, is highly malignant and has a poor disease outcome. Currently, all available examination and detection methods cannot accurately predict the clinical outcome. Therefore, it is extremely important to identify novel molecular biomarkers for personalized medication and to significantly improve the overall outcome. The “noncoding RNAs” (ncRNAs) are a group of RNAs that do not code for proteins, and they are categorized as structural RNAs and regulatory RNAs. It has been shown that microRNAs and long ncRNAs function as regulatory RNAs to affect the progression of various diseases. Many studies have confirmed a role for ncRNAs in the progression of PDAC during the last few years. Because of the significant role of ncRNAs in PDAC, ncRNA profiling may be used to predict PDAC outcome with high accuracy. This review comprehensively analyzes the value of ncRNAs as potential biomarkers to predict the outcome in PDAC and the possible mechanisms thereof.

Keywords: pancreatic ductal adenocarcinoma, microRNA, long noncoding RNA, outcome prediction