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Detection of Cancer Biomarkers: Review of Methods and Applications Reported from Analytical Perspective

透视图(图形) 癌症 癌症检测 纳米技术 计算生物学 计算机科学 生化工程 医学 生物 内科学 工程类 材料科学 人工智能
作者
Xeniya Terzapulo,Aigerim Dyussupova,Aisha Ilyas,Aigerim Boranova,Yegor Shevchenko,Saule Mergenbayeva,Olena Filchakova,Abduzhappar Gaipov,Rostislav Bukasov
出处
期刊:Critical Reviews in Analytical Chemistry [Informa]
卷期号:: 1-46 被引量:1
标识
DOI:10.1080/10408347.2025.2497868
摘要

One in five deaths in developed countries is related to cancer. The cancer prevalence is likely to grow with aging population. The affordable and accurate early diagnostics of cancer based on detection of cancer biomarkers at low concentration during its early stages is one of the most efficient way to decrease mortality and human suffering from cancer. The data from 201 analytical papers are tabulated in 9 tables, illustrated in 8 figures and used for comparative analysis of methods applied for cancer biomarker detection, including polymerase chain reaction, Loop-mediated isothermal amplification (LAMP), mass spectrometry, enzyme-linked immunosorbent assay, electroanalytical methods, immunoassays, surface enhanced Raman scattering, Fourier Transform Infrared and others in terms of above-mentioned performance parameters. Median and/or average limit of detection (LOD) are calculated and compared between different analytical methods. We also described and compared LOD of the methods used for detection of three frequently detected cancer biomarkers: carcinoembryonic antigen, prostate-specific antigen and alpha-fetoprotein. Among those methods of detection, the reported electrochemical sensors often demonstrate relatively high sensitivity/low LOD while they often have a moderate instrumental cost and fast time to results. The review tabulates, compares and discusses analytical papers, which report LOD of cancer biomarkers and comprehensive quantitative comparison of various analytical methods is made. The discussion of those techniques applied for cancer biomarker detection included brief summary of pro and cons for each of those methods.
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