Gastric cancer is a serious problem for human health. As part of noncoding RNA, circular RNA (circRNA) plays a key role in the occurrence and development of malignant tumor. We used next generation sequencing technology to detect circRNA expression profiles in 5 paired human gastric cancer tissues. Then, bioinformatics analysis was carried out to analyze the function of dysregulated circRNAs. Hsa_circ_0058092 was selected as the object of follow-up analysis. After using the Cistrome DB dataset the data was used to predict specific transcription factors of hsa_circ_0058092. The relationship between hsa_circ_0058092 and PODXL was further validated using RT-PCR and immunohistochemical techniques. Survival data were collected using a Kaplan-Meier analysis of hsa_circ_0058092. We identified 319 aberrantly expressed circRNAs, Hsa_circ_0058092 was selected for our studies. Functional analysis of hsa_circ_0058092 revealed that it was related to metabolic processes. The prediction results suggested that hsa_circ_0058092 has a relationship with hsa-miR-4269 which could specifically bind to the PODXL sequence. Transcription factor CEBPB may regulate the transcription process of hsa_circ_0058092. The expression of hsa_circ_0058092 was positively correlated with PODXL expression. Immunohistochemical analysis of PODXL showed that the expression of PODXL protein in cancer tissues is higher than that in adjacent tissues. Kaplan-Meier analysis suggested that hsa_circ_0058092 was associated with survival of gastric cancer patients. All of these results showed that hsa_circ_0058092 was a potential oncogene.
Keywords: Bioinformatics; Circular RNA; Gastric cancer; Hsa_circ_0058092; Next generation sequencing.
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