Tumor‐suppressive circular RNAs: Mechanisms underlying their suppression of tumor occurrence and use as therapeutic targets. Issue 12 (25th October 2019)

• Record Type: Journal Article
• Authors: Li, Zhe; Ruan, Yao; Zhang, Haiyan; Shen, Yijing; Li, Tianwen; Xiao, Bingxiu
• Is Part Of: Cancer science. Volume 110:Issue 12(2019)
• Page Start: 3630
• Page End: 3638
• Publication Date: 2019-10-25
• Subjects: biogenesis -- cancer -- circular RNA -- mechanism -- therapeutic target; Cancer -- Periodicals; Neoplasms -- Periodicals; Research -- Periodicals; Electronic journals; 616.994005
• DOI: 10.1111/cas.14211
• Languages: English
• ISSNs: 1347-9032

Abstract

Abstract: Circular RNAs (circRNAs) have a covalently closed circular conformation and are structurally stable. Those circRNAs with tumor‐suppressive properties play an important role in tumorigenesis and metastasis and thus may be used as therapeutic targets of cancers. Herein, we review the current understanding of the classification of circRNAs and summarize the functions and mechanisms of circRNAs that have tumor‐suppressive roles in various cancers, including liver cancer (circARSP91, circADAMTS13, circADAMTS14, circMTO1, hsa_circ_0079299, and circC3P1), bladder cancer (circFNDC3B, circITCH, circHIPK3, circRNA‐3, cdrlas, and circLPAR1), gastric cancer (circLARP4, circYAP1, hsa_cric_0000096, hsa_circ_0000993, and circPSMC3), breast cancer (circ_000911, hsa_circ_0072309, and circASS1), lung cancer (hsa_circ_0000977, circPTK2, circ_0001649, hsa_circ_100395, and circ_0006916), glioma (circ_0001946, circSHPRH, and circFBXW7), and colorectal cancer (circITGA7 and hsa_circ_0014717). Thanks to their structural stability, these tumor‐suppressive circRNAs may be used as potential and potent therapeutic targets. Moreover, we propose a new method for the classification of circRNAs. Based on whether they can be translated, circRNAs can be divided into noncoding circRNAs and coding circRNAs. Abstract : Tumor‐suppressive circRNAs may be used as potential and potent therapeutic targets. Moreover, we can propose a new method for the classification of circRNAs: based on whether they can be translated, circRNAs can be divided into noncoding circRNAs and coding circRNAs.