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微小RNA表达作为肺癌早期预测和持续监测的新型遗传生物标志物

microRNAs Expression as Novel Genetic Biomarker for Early Prediction and Continuous Monitoring in Pulmonary Cancer.

作者信息

Nitu Razvan, Rogobete Alexandru Florin, Gundogdu Fuat, Tanasescu Sonia, Boruga Ovidiu, Sas Adriana, Popovici Sonia Elena, Hutanu Delia, Pilut Ciprian, Sarau Cristian Andrei, Candea Adrian Constantin, Stan Adrian Tudor, Moise Liviu Marius

机构信息

Faculty of Medicine, "Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania.

Clinic of Anesthesia and Intensive Care, Emergency County Hospital "Pius Brinzeu", Timisoara, Romania.

出版信息

Biochem Genet. 2017 Aug;55(4):281-290. doi: 10.1007/s10528-016-9789-y. Epub 2017 Jan 9.

Abstract

One of the main causes of death in the world is lung cancer. According to the World Health Organization, the annual incidence of lung cancer increases significantly. Moreover, lung cancer accounts for one of the highest mortality rates, mainly due to late detection. Numerous studies have been conducted in order to identify new biomarkers for early diagnosis and for monitoring and evaluation of lung cancer stages. An ideal biomarker candidate is represented by the analysis of microRNAs expression. In this paper, we want to summarize microRNAs expressions in lung cancer. We also want to present the expression of microRNAs depending on the evolution of lung cancer. For this study, we analyzed the studies available in scientific databases, such as PubMed and Scopus. The studies were selected using the search keywords "microRNAs expression," "lung cancer," and "genetic biomarkers." The most significant articles were selected for the study, following rigorous analysis. To evaluate and monitor lung cancer, the expression of microRNAs may be used successfully due to increased specificity and selectivity. However, further studies are needed on the assignment and validation of microRNAs for each type of lung cancer, respectively, for each stage of evolution.

摘要

世界上主要的死因之一是肺癌。根据世界卫生组织的数据,肺癌的年发病率显著上升。此外,肺癌是死亡率最高的疾病之一,主要原因是发现得晚。为了确定用于早期诊断以及监测和评估肺癌分期的新生物标志物,已经进行了大量研究。理想的生物标志物候选物是以分析微小RNA表达为代表。在本文中,我们想总结肺癌中微小RNA的表达情况。我们还想展示微小RNA的表达如何随肺癌的进展而变化。对于本研究,我们分析了科学数据库(如PubMed和Scopus)中可得的研究。这些研究是使用搜索关键词“微小RNA表达”“肺癌”和“遗传生物标志物”来筛选的。经过严格分析后,挑选出最具代表性的文章用于研究。为了评估和监测肺癌,由于微小RNA具有更高的特异性和选择性,其表达情况可成功用于此。然而,对于每种类型的肺癌以及每个进展阶段,分别在微小RNA的赋值和验证方面仍需要进一步研究。

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