Pharmaceutical Analysis Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; Biotechnology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Pharmaceutical Analysis Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Biomed Pharmacother. 2020 Dec;132:110849. doi: 10.1016/j.biopha.2020.110849. Epub 2020 Oct 14.
Cancer is the second most extended disease during the world with an improved death rate over the past several time. Due to the restrictions of cancer analysis methods, the patient's real survival rate is unknown. Therefore early stage diagnosis of cancer is crucial for its strong detection. Bio-analysis based on biomarkers may help to overcome this problem. Aptamers can be employed as high-affinity tools for cancer detection. The utilization of aptamer-based strategy in cancer investigation and strategy shows new opportunities in biotechnology. The label-free system is an important method to study biomolecules in different sizes, such as biomarkers in real-time because of their greatest sensitivity, selectivity, and multi examination. In this review (with 75 references), excellent features of the label-free aptasensors on the sensitive and accurate monitoring of cancer biomarkers were discussed. Also, the role of advanced of nanomaterials on the construction of label-free aptasensors were investigated. In addition, application of different detection methods such as electrochemical, optical, electronic, and photoelectrochemical (PEC), electrochemiluminescence (ECL) were surveyed. Finally, advantages and limitation of different strategies on the early stage diagnosis of cancer biomarkers were discussed. This article has been updated until July 2020.
癌症是全球第二大高发疾病，死亡率在过去几年中有所提高。由于癌症分析方法的限制，患者的实际存活率尚不清楚。因此，癌症的早期诊断对于其早期发现至关重要。基于生物标志物的生物分析可能有助于解决这个问题。适体可以作为癌症检测的高亲和力工具。基于适体的策略在癌症研究和诊断中的应用为生物技术带来了新的机遇。无标记系统是研究不同大小的生物分子（如实时生物标志物）的重要方法，因为它具有最高的灵敏度、选择性和多功能性。在这篇综述（引用了 75 篇参考文献）中，讨论了无标记适体传感器在敏感和准确监测癌症生物标志物方面的优异特性。此外，还研究了纳米材料在构建无标记适体传感器方面的作用。此外，还调查了不同检测方法的应用，如电化学、光学、电子和光电化学（PEC）、电化学发光（ECL）。最后，讨论了不同策略在癌症生物标志物早期诊断中的优缺点。本文更新至 2020 年 7 月。
