MIP-based sensing strategies for the diagnosis of prostate and lung cancers

IF 3.7 Q1 CHEMISTRY, ANALYTICAL Talanta Open Pub Date : 2025-08-01 Epub Date: 2025-03-13 DOI:10.1016/j.talo.2025.100432
İnci Uludağ Anıl, Mustafa Kemal Sezgintürk
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Abstract

Prostate and lung cancer are among the most prevalent and lethal forms of the disease, and, globally, cancer is a primary cause of mortality. Early diagnosis and the application of precise biomarkers are crucial for prolonging patient lifespan and enhancing quality of life. Molecularly imprinted polymers (MIPs) are synthetic substances capable of selectively identifying and binding specific target molecules. Besides their sensitivity to biomolecules, MIPs offer significant advantages in cancer biomarker detection due to their cost-effectiveness and flexible architectures. MIP-based biosensors designed for the detection of prostate and lung cancer-specific biomarkers provide unique solutions that enhance the diagnostic process and improve its accuracy. This study aims to assess the present state of MIP-based biosensors in the detection of biomarkers for prostate and lung cancer, as well as the potential opportunities provided by this technology. This study will present an overview of potential biomarkers for lung and prostate cancer, clarify the fundamental features of MIPs, and discuss their uses in MIP-based biosensors along with prospective future applications. In this context, our review is aimed to contribute to the development of innovative methods used in early cancer diagnosis.
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基于mip的前列腺癌和肺癌诊断传感策略
前列腺癌和肺癌是最普遍和最致命的癌症形式,在全球范围内,癌症是导致死亡的主要原因。早期诊断和精确生物标志物的应用对于延长患者寿命和提高生活质量至关重要。分子印迹聚合物(MIPs)是一种能够选择性识别和结合特定靶分子的合成物质。除了对生物分子的敏感性外,由于其成本效益和灵活的结构,mip在癌症生物标志物检测方面具有显着优势。基于mip的生物传感器设计用于检测前列腺癌和肺癌特异性生物标志物,提供独特的解决方案,增强诊断过程并提高其准确性。本研究旨在评估基于mip的生物传感器在检测前列腺癌和肺癌生物标志物方面的现状,以及该技术提供的潜在机会。本研究将概述肺癌和前列腺癌的潜在生物标志物,阐明mip的基本特征,并讨论它们在基于mip的生物传感器中的应用以及未来的应用前景。在此背景下,我们的综述旨在为开发用于早期癌症诊断的创新方法做出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Talanta Open
Talanta Open Chemistry-Analytical Chemistry
CiteScore
5.20
自引率
0.00%
发文量
86
审稿时长
49 days
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