Liquid Biopsy-Based Smart Sensors for Ovarian Cancer Detection.

IF 4.2 2区 化学 Q1 CHEMISTRY, ANALYTICAL
Pallavi Kumari, Anupama Aiyar, Shweta Dang
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引用次数: 0

Abstract

Ovarian cancer is one of the most aggressive gynecologic malignancies, with a vast majority of patients diagnosed at advanced stages owing to the lack of available early detection methods. Liquid biopsy, a noninvasive method for detecting circulating biomarkers such as circulating tumor cells (CTCs), cell-free DNA (cfDNA), exosomes, and a wide range of non-coding RNAs (including microRNAs, long non-coding RNAs, and circular RNAs), enables the detection of ovarian cancer using composite biomarker panels tailored for disease specificity. Liquid biopsy-based diagnostics have also made a significant leap forward in terms of sensitivity, specificity, and real-time monitoring due to integration of smart sensor technology. To meet the challenge of sensitivity, highly specific bioelectrical and electrochemical, optical as well and nanomaterial-based sensors have been developed to detect ovarian cancer biomarkers within minutes that are cost-effective and scalable. The progress of Lab-on-Chip technologies, nano-bio sensing systems, and artificial intelligence-driven diagnostic models have further redefined this field by increasing biomarker detection and facilitating clinical decision-making efficiencies. This review discusses the state-of-the-art of liquid biopsy in smart sensors, their fundamentals, and the breakthroughs of these technologies of interest for ovarian cancer detection. Moreover, both clinical utility and regulatory hurdles of this biosensing will be interpreted to decipher the translational readiness for broad clinical application. The smart biosensors will continue to evolve, determining the future of ovarian cancer diagnostics by providing early detection and personalized treatment options and quality of life for patients.

基于液体活检的卵巢癌检测智能传感器。
卵巢癌是最具侵袭性的妇科恶性肿瘤之一,由于缺乏可用的早期检测方法,绝大多数患者在晚期被诊断出来。液体活检是一种检测循环生物标志物的无创方法,如循环肿瘤细胞(ctc)、游离细胞DNA (cfDNA)、外泌体和各种非编码rna(包括microrna、长链非编码rna和环状rna),可以使用针对疾病特异性定制的复合生物标志物面板检测卵巢癌。由于集成了智能传感器技术,基于液体活检的诊断在灵敏度、特异性和实时监测方面也取得了重大飞跃。为了应对灵敏度的挑战,高特异性的生物电和电化学、光学以及纳米材料传感器已经被开发出来,可以在几分钟内检测出具有成本效益和可扩展性的卵巢癌生物标志物。芯片实验室技术、纳米生物传感系统和人工智能驱动的诊断模型的进步,通过提高生物标志物检测和促进临床决策效率,进一步重新定义了这一领域。本文综述了智能传感器液体活检技术的现状、基本原理以及这些技术在卵巢癌检测中的突破。此外,这种生物传感的临床效用和监管障碍将被解释为破译广泛临床应用的转化准备。智能生物传感器将继续发展,通过提供早期检测和个性化治疗方案以及患者的生活质量,决定卵巢癌诊断的未来。
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
CiteScore
12.00
自引率
4.00%
发文量
137
审稿时长
6 months
期刊介绍: Critical Reviews in Analytical Chemistry continues to be a dependable resource for both the expert and the student by providing in-depth, scholarly, insightful reviews of important topics within the discipline of analytical chemistry and related measurement sciences. The journal exclusively publishes review articles that illuminate the underlying science, that evaluate the field''s status by putting recent developments into proper perspective and context, and that speculate on possible future developments. A limited number of articles are of a "tutorial" format written by experts for scientists seeking introduction or clarification in a new area. This journal serves as a forum for linking various underlying components in broad and interdisciplinary means, while maintaining balance between applied and fundamental research. Topics we are interested in receiving reviews on are the following: · chemical analysis; · instrumentation; · chemometrics; · analytical biochemistry; · medicinal analysis; · forensics; · environmental sciences; · applied physics; · and material science.
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