J Cancer 2018; 9(18):3269-3277. doi:10.7150/jca.25902 This issue Cite
Research Paper
1. Department of Urology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
2. Department of Cardiology, KaiFeng Central Hospital, KaiFeng, Henan Province, China
3. Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
Purpose: Circular RNAs (circRNAs), are a large class of RNAs that from a covalently closed continuous loop and have recently showed huge capabilities as gene regulators in mammals. Although Hsa_circ_0001451 has been investigated in colorectal cancer, it remains unclear about the relationship between Hsa_circ_0001451 and clear cell renal cell carcinoma (ccRCC). Our research aims to reveal the function of Hsa_circ_0001451 in the proliferation and development in ccRCC cells.
Methods: The expression of Hsa_circ_0001451 in 52 pairs of ccRCC tissues and paraneoplastic tissues was detected by quantitative real-time polymerase chain reaction (qRT-PCR). The correlation between Hsa_circ_0001451 and the clinicopathological features was evaluated using the chi-sequare test. Receiver operating characteristic (ROC) curve was built by SPSS to evaluate the diagnostic values. The effects of Hsa_circ_0001451 on ccRCC cells were determined via a MTT assay, clone formation assay, flow cytometry and Western blot analysis.
Results: The expression of Hsa_circ_0001451 was significantly correlated with differentiation (P<0.05). The area under ROC curve of Hsa_circ_0001451 was 0.704 (P<0.05). Knockdown of Hsa_circ_0001451 significantly promoted tumor growth in vitro. Bioinformatics results also displayed that Hsa_circ_0001451 might be involved in the regulation of tumor progression.
Conclusion: Taken together, our finding showed that Hsa_circ_0001451 might become a novel potential biomarker in the diagnosis of ccRCC and a potential novel target for the treatment of ccRCC.
Keywords: Circular RNA, Hsa_circ_0001451, clear cell renal cell carcinoma, biomarker, differentiation