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Downregulation of hsa_circ_0000285 serves as a prognostic biomarker for bladder cancer and is involved in cisplatin resistance

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Bao-Jin Chi, Dong-Mei Zhao, Lei Liu, Xing-Zhong Yin, Fang-Fang Wang, Sheng Bi, Shi-Liang Gui, Shao-Bo Zhou, Wen-Bo Qin, Dong-Mei Wu,  Shu-Qiu Wang

Abstract:

Bladder cancer remains a very challenging disease to treat with the high rates of recurrence and progression associated with current therapies. Although the association between bladder cancer pathology and circRNAs remains undetermined, circRNAs signatures may be useful as prognostic and predictive factors and clinical tools for assessing disease state, treatment response and outcome. This study investigates if these circRNAs can be used as biomarkers for bladder cancer diagnosis and predicting treatment response. Herein, qPCR measured the expression of hsa_circRNA_100783, hsa_circ_0000285 and hsa_circRNA_100782 in bladder cancer tissues. It was established that sa_circ_0000285, but not hsa_circRNA_100782 and hsa_circRNA_10078, are significantly reduced in bladder cancer tissues and serum compared to adjacent tissues and healthy controls. Moreover, hsa_circ_0000285 expression was lower in cisplatin-resistant bladder cancer patients than in those who were cisplatin-sensitive. Here, hsa_circ_0000285 was associated with tumor size (p<0.001), differentiation (p<0.001), lymph node metastasis (p=0.038), distant metastasis (p=0.004) and TNM stage (p=0.013). Further analysis showed that hsa_circ_0000285 would be an independent prognostic factor for bladder cancer patient outcome. In conclusion, our study indicates hsa_circ_0000285 may be a novel biomarker for bladder cancer because of its involvement in bladder cancer chemo-sensitivity.

Received date: 03/18/2018

Accepted date: 07/16/2018

Ahead of print publish date: 09/17/2018

Issue: 2/2019

Volume: 66

Pages: 197 — 202

Keywords: circRNA, bladder cancer, circHIPK3, resistance, chemosensitivity

Supplementary files:
supplementary Table1.docx
supplementary Figure 1.tif
supplementary Figure 2.tif
supplementary method.docx

DOI: 10.4149/neo_2018_180318N185

Pubmed

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