Plasma miRNA expression profiling of pancreatic ductal adenocarcinoma patient, chronic pancreatitis patients and healthy population in China

There is an urgent need for early detection of Pancreatic ductal adenocarcinoma (PDAC). Due to high stability and tight relationship with tumor genesis and development, miRNA has been considered as a type of potential biomarkers for PDAC detection and surveillance. However, up to now, the common miRNA panel for PDAC detection is still undetermined. In order to reveal the differential miRNA expression profiles between PDAC patients(P group), chronic pancreatitis patients(C group) and healthy persons(H group), plasma samples were collected from threegroups, further the genome wide small RNA expression profiling was performed. Overall design: Plasma miRNA samples were extracted from three groups respectively, each group 5 samples. miRNA profiles were investigated by second generation small RNA sequencing, we used CAP-miRSeq algorithm for a comprehensive analysis of small RNA sequencing reads to identify, annotate and quantify miRNAs according to the user guide with some modifications.

目前亟需开展胰腺导管腺癌（Pancreatic ductal adenocarcinoma, PDAC）的早期筛查。由于微RNA（microRNA, miRNA）具备高稳定性且与肿瘤发生发展紧密相关，其被视作PDAC检测与随访监测的潜在生物标志物之一。然而截至目前，用于PDAC检测的标准化miRNA检测组合仍未明确。
为解析PDAC患者（P组）、慢性胰腺炎患者（C组）与健康人群（H组）之间的差异miRNA表达谱，研究人员采集了三组受试者的血浆样本，并开展了全基因组小RNA表达谱分析。
实验整体设计：分别从三组样本中提取血浆miRNA，每组各5份样本。通过第二代小RNA测序技术对miRNA表达谱进行检测，采用CAP-miRSeq算法对小RNA测序读段进行全面分析，参考官方用户指南并进行部分调整后，完成miRNA的鉴定、注释与定量工作。