摘要
背景:新发现的数据表明,非编码RNA(microrna 193a或mir-193 a)在不同类型的癌症中起着关键作用。 目的:根据文献资料,探讨miR-193a在不同肿瘤中的功能意义。 方法:对PubMed肿瘤中miR-193a的相关文献进行分析。 结果:一些研究证实miR-193a表达模式与癌症的分期、分级、对化疗的反应以及患者生存率有一定的相关性。此外,miR-193a可用于区分某些类型的癌症。在癌症中,miR-193a可以作为肿瘤抑制基因或致癌基因。到目前为止,预测了几种遗传因子(MAX、RXRα、XB130、p63、p73、AEG-1、HIFs、EGFR、DROSA、DGCR8、Dicer)和表观遗传因子(DNA甲基化和长非编码RNA)来控制miR-193A表达。它们对不同类型癌症的生物学行为有根本性的影响。 结论:MIR-193 a在肿瘤中具有重要作用,通过对其生物学行为控制因素的深入了解,有望成为肿瘤治疗的靶点。
关键词: mir-193a,癌症,化疗,预后,机制,甲基化。
图形摘要
Current Cancer Drug Targets
Title:Role of miR-193a in Cancer: Complexity and Factors Control the Pattern of its Expression
Volume: 18 Issue: 7
关键词: mir-193a,癌症,化疗,预后,机制,甲基化。
摘要: Background: There is emerging data suggesting that the non-coding RNA (microRNA 193a or miR-193a) plays key roles in different types of cancers.
Objective: This review aims to investigate the functional significance of miR-193a in different cancers according to the information of literature.
Method: All the literature concerning miR-193a in cancer in PubMed are analysed.
Results: Several studies proved the association of miR-193a expression patterns with cancer’s stages, grades, response to the chemotherapy and even patient survival. Also, miR-193a can be used to differentiate some types of cancer. In cancer, miR-193a can act as a tumour suppressor gene or as an oncogene. Till now, several genetic factors (MAX, RXR α, XB130, P63, P73, AEG-1, HIFs, EGFR, Drosha, DGCR8, Dicer) and epigenetic factors (DNA methylation and long non-coding RNAs) were predicted to control miR-193a expression. They have fundamental effects on its biological behaviour in different types of cancers.
Conclusion: miR-193a has significant roles in cancer and can be targeted in the future for cancer therapy by better understanding of the factors that control its biological behaviour.
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Cite this article as:
Role of miR-193a in Cancer: Complexity and Factors Control the Pattern of its Expression, Current Cancer Drug Targets 2018; 18 (7) . https://dx.doi.org/10.2174/1568009618666180308105727
DOI https://dx.doi.org/10.2174/1568009618666180308105727 |
Print ISSN 1568-0096 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-5576 |
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