title: Gastric juice miR-129 as a potential biomarker for screening gastric cancer.
abstract: MicroRNAs (miRNAs) play crucial roles during the occurrence and development of gastric cancer. Conventional serological tests for screening gastric cancer have limits on sensitivity and specificity. Several miRNAs in peripheral blood have been used as biomarkers of gastric cancer. However, most of these miRNAs are shared by several types of cancer. Thanks to the tissue specificity of gastric juice, here we examined the feasibility of using gastric juice miR-129-1/2, which are aberrantly expressed in gastric cancer, to screen gastric cancer. Total of 141 gastric juices samples from gastric cancer, gastric ulcer, atrophic gastritis, and minimal gastritis patients or subjects with normal mucosa were collected by gastroscopy. The gastric juice miR-129-1/2 levels were detected by quantitative reverse transcription-polymerase chain reaction. A receiver operating characteristic (ROC) curve was constructed for differentiating patients with gastric cancer from patients with benign gastric diseases. We showed that, compared with patients with benign gastric diseases, patients with gastric cancer had significantly lower levels of gastric juice miR-129-1-3p and miR-129-2-3p. The areas under ROC curve (AUC) were 0.639 and 0.651 for miR-129-1-3p and miR-129-2-3p, respectively. Using the parallel combination test, the AUC was up to 0.656. In summary, our results suggest that gastric juice miR-129-1-3p and miR-129-2-3p are potential biomarkers for the screening gastric cancer, and the detection of gastric juice miRNAs is a convenient non-invasion method for the diagnosis of gastric cancer.
authors.affiliation: Zhejiang Provincial Key Laboratory of Pathophysiology, Department of Biochemistry and Molecular Biology, Ningbo University School of Medicine, 818 Fenghua Road, Ningbo 315211, China.
authors.forename: Xing
authors.initials: X
authors.lastname: Yu
authors.forename: Lin
authors.initials: L
authors.lastname: Luo
authors.forename: Yibo
authors.initials: Y
authors.lastname: Wu
authors.forename: Xiuchong
authors.initials: X
authors.lastname: Yu
authors.forename: Yang
authors.initials: Y
authors.lastname: Liu
authors.forename: Xuelin
authors.initials: X
authors.lastname: Yu
authors.forename: Xiaoyan
authors.initials: X
authors.lastname: Zhao
authors.forename: Xinjun
authors.initials: X
authors.lastname: Zhang
authors.forename: Long
authors.initials: L
authors.lastname: Cui
authors.forename: Guoliang
authors.initials: G
authors.lastname: Ye
authors.forename: Yanping
authors.initials: Y
authors.lastname: Le
authors.forename: Junming
authors.initials: J
authors.lastname: Guo
mesh_terms: D000368:Aged; D019540:Area Under Curve; D014408:Biomarkers, Tumor / Q000032:analysis / Q000235:genetics*; D055088:Early Detection of Cancer / Q000379:methods*; D005260:Female; D005750:Gastric Juice / Q000737:chemistry*; D006801:Humans; D008297:Male; D035683:MicroRNAs / Q000032:analysis*; D008875:Middle Aged; D012372:ROC Curve; D060888:Real-Time Polymerase Chain Reaction; D020133:Reverse Transcriptase Polymerase Chain Reaction; D012680:Sensitivity and Specificity; D013274:Stomach Neoplasms / Q000175:diagnosis* / Q000235:genetics*
chemical_list: D014408:Biomarkers, Tumor; D035683:MicroRNAs; C541915:Mirn129 microRNA, human