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基于筛查和生物传感器的肺癌检测方法。

Screening and Biosensor-Based Approaches for Lung Cancer Detection.

机构信息

School of Instrument Science and Opto-electronics Engineering, Hefei University of Technology, Hefei 230009, China.

Institute of Biomedical Technologies, Auckland University of Technology, Auckland 1142, New Zealand.

出版信息

Sensors (Basel). 2017 Oct 23;17(10):2420. doi: 10.3390/s17102420.

DOI:10.3390/s17102420
PMID:29065541
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5677261/
Abstract

Early diagnosis of lung cancer helps to reduce the cancer death rate significantly. Over the years, investigators worldwide have extensively investigated many screening modalities for lung cancer detection, including computerized tomography, chest X-ray, positron emission tomography, sputum cytology, magnetic resonance imaging and biopsy. However, these techniques are not suitable for patients with other pathologies. Developing a rapid and sensitive technique for early diagnosis of lung cancer is urgently needed. Biosensor-based techniques have been recently recommended as a rapid and cost-effective tool for early diagnosis of lung tumor markers. This paper reviews the recent development in screening and biosensor-based techniques for early lung cancer detection.

摘要

早期诊断肺癌有助于显著降低癌症死亡率。多年来,世界各地的研究人员广泛研究了许多用于肺癌检测的筛查方法,包括计算机断层扫描、胸部 X 射线、正电子发射断层扫描、痰液细胞学检查、磁共振成像和活检。然而,这些技术并不适用于患有其他病理的患者。因此,迫切需要开发一种用于肺癌早期诊断的快速而敏感的技术。基于生物传感器的技术最近被推荐为用于早期诊断肺癌标志物的快速且具有成本效益的工具。本文综述了用于早期肺癌检测的筛查和基于生物传感器的技术的最新进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b52/5677261/9d66870d3b74/sensors-17-02420-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b52/5677261/28420dcca718/sensors-17-02420-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b52/5677261/4ff5131350ba/sensors-17-02420-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b52/5677261/9d66870d3b74/sensors-17-02420-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b52/5677261/28420dcca718/sensors-17-02420-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b52/5677261/4ff5131350ba/sensors-17-02420-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b52/5677261/9d66870d3b74/sensors-17-02420-g003a.jpg

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本文引用的文献

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Sensors (Basel). 2017 Jul 5;17(7):1572. doi: 10.3390/s17071572.
2
Neuron-specific enolase, histopathological types, and age as risk factors for bone metastases in lung cancer.神经元特异性烯醇化酶、组织病理学类型及年龄作为肺癌骨转移的危险因素
Tumour Biol. 2017 Jul;39(7):1010428317714194. doi: 10.1177/1010428317714194.
3
Ultrasensitive detection of nucleic acids and proteins using quartz crystal microbalance and surface plasmon resonance sensors based on target-triggering multiple signal amplification strategy.
推进医疗保健:生物传感器与机器学习协同用于早期癌症诊断
Biosensors (Basel). 2023 Sep 13;13(9):884. doi: 10.3390/bios13090884.
4
Sensitive Electrochemical Biosensor for Rapid Screening of Tumor Biomarker TP53 Gene Mutation Hotspot.用于快速筛选肿瘤标志物 TP53 基因突变热点的灵敏电化学生物传感器。
Biosensors (Basel). 2022 Aug 19;12(8):658. doi: 10.3390/bios12080658.
5
Correction: Screening and Biosensor-Based Approaches for Lung Cancer Detection. 2017, , 2420.更正:基于筛查和生物传感器的肺癌检测方法。2017年,,2420。 (注:原文中存在格式不规范问题,两个逗号位置不太明确其确切意图,翻译只能尽量忠实原文)
Sensors (Basel). 2019 Oct 11;19(20):4393. doi: 10.3390/s19204393.
6
Multi-Class Neural Networks to Predict Lung Cancer.多类神经网络预测肺癌。
J Med Syst. 2019 May 31;43(7):211. doi: 10.1007/s10916-019-1355-9.
7
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Onco Targets Ther. 2018 Nov 14;11:8143-8151. doi: 10.2147/OTT.S177384. eCollection 2018.
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Anal Chim Acta. 2017 Jul 25;978:42-47. doi: 10.1016/j.aca.2017.04.047. Epub 2017 May 10.
4
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5
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Oncol Lett. 2017 May;13(5):3314-3322. doi: 10.3892/ol.2017.5838. Epub 2017 Mar 10.
6
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J Surg Res. 2017 Apr;210:15-21. doi: 10.1016/j.jss.2016.10.023. Epub 2016 Nov 2.
7
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Int J Nanomedicine. 2017 Apr 13;12:3049-3058. doi: 10.2147/IJN.S131805. eCollection 2017.
8
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Anal Chem. 2017 Apr 4;89(7):4309-4313. doi: 10.1021/acs.analchem.7b00411. Epub 2017 Mar 27.
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