Journal
PATHOLOGY RESEARCH AND PRACTICE
Volume 216, Issue 1, Pages -Publisher
ELSEVIER GMBH
DOI: 10.1016/j.prp.2019.152763
Keywords
Gastric cancer; Circular RNA; hsa_circ_0000419; Prognosis; Biomarker
Categories
Funding
- National Natural Science Foundation of China [81702367, 81772279]
- Medical and Health Research Project of Zhejiang Province [2017KY598]
- Scientific Innovation Team Project of Ningbo [2017C110019]
- Social Development Research Project of Ningbo [2016C51015]
- Applied Research Project on Nonprofit Technology of Zhejiang Province [2017C35004]
- K. C. Wong Magna Fund in Ningbo University
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Gastric cancer (GC) is an aggressive malignancy that seriously threatens human health. Accumulating studies have shown that circular RNAs (circRNAs) can be used as diagnostic biomarkers and promising therapeutic targets with significant clinical implications. However, the roles of circRNAs in GC remain largely elusive. In this study, hsa_circ_0000419 levels in GC cell lines, tissues and plasma were detected, and their clinicopathological correlation was analyzed. Receiver operating characteristic (ROC) curve and Kaplan-Meier survival curve were established for its clinical values evaluation. Potential biological functions were further predicted and annotated by bioinformatics analysis. Hsa_circ_0000419 levels were significantly decreased in GC cell lines, cancer tissues and plasma from GC patients. GC tissues hsa_circ_0000419 levels were associated with cell differentiation, Borrmann type, overall survival and disease-free survival, whereas plasma hsa_circ_0000419 were significantly correlated with tumor stage, lymphatic and distal metastasis, venous and perineural invasion. Plasma hsa_circ_0000419 exists in exosomes and maintain good stability. Bioinformatics analysis showed that hsa_circ_0000419 involved in gastric tumorigenesis and progression via its interaction with microRNAs. Collectively, our study suggests that hsa_circ_0000419 is a novel biomarker for GC screening as well as an important indicator for prognostic estimation of patients with advanced GC.
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