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傅里叶变换红外光谱法:一种用于卵巢癌诊断的创新方法。

Fourier Transform Infrared Spectroscopy: An Innovative Method for the Diagnosis of Ovarian Cancer.

作者信息

Li Lei, Wu Jinguang, Yang Limin, Wang Huizi, Xu Yizhuang, Shen Keng

机构信息

Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China.

Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, Beijing, People's Republic of China.

出版信息

Cancer Manag Res. 2021 Mar 12;13:2389-2399. doi: 10.2147/CMAR.S291906. eCollection 2021.

Abstract

Ovarian cancer is the most lethal gynecologic malignancy due to the late diagnoses at advanced stages, drug resistance and the high recurrence rate. Thus, there is an urgent need to develop new techniques to diagnose and monitor ovarian cancer patients. Fourier transform infrared (FTIR) spectroscopy has great potential in the diagnosis of this disease, as well as the real-time monitoring of cancer development and chemoresistance. As a noninvasive, simple and convenient technique, it can not only distinguish the molecular differences between normal and malignant tissues, but also be used to identify the characteristics of different types of ovarian cancer. FTIR spectroscopy is also widely used in monitoring cancer cells in response to antitumor drugs, distinguishing cells in different growth states, and identifying new synthetic drugs. In this paper, the applications of FTIR spectroscopy for ovarian cancer diagnosis and other works carried out so far are described in detail.

摘要

卵巢癌是最致命的妇科恶性肿瘤,原因在于其晚期诊断较晚、存在耐药性且复发率高。因此,迫切需要开发新技术来诊断和监测卵巢癌患者。傅里叶变换红外(FTIR)光谱在这种疾病的诊断以及癌症发展和化疗耐药性的实时监测方面具有巨大潜力。作为一种非侵入性、简单便捷的技术,它不仅可以区分正常组织和恶性组织之间的分子差异,还可用于识别不同类型卵巢癌的特征。FTIR光谱还广泛应用于监测癌细胞对抗肿瘤药物的反应、区分不同生长状态的细胞以及鉴定新的合成药物。本文详细描述了FTIR光谱在卵巢癌诊断中的应用以及迄今为止开展的其他工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac66/7965685/4b0790d5716a/CMAR-13-2389-g0001.jpg

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