WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK.
Translational Neurosurgery, Department of Clinical Neurosciences, Western General Hospital, Edinburgh, EH4 2XU, UK.
Cancer Lett. 2020 May 1;477:122-130. doi: 10.1016/j.canlet.2020.02.020. Epub 2020 Feb 26.
Fourier Transform Infrared Spectroscopy (FTIR) has been largely employed by scientific researchers to improve diagnosis and treatment of cancer, using various biofluids and tissues. The technology has proved to be easy to use, rapid and cost-effective for analysis on human blood serum to discriminate between cancer versus healthy control samples. The high sensitivity and specificity achievable during samples classification aided by machine learning algorithms, offers an opportunity to transform cancer referral pathways, as it has been demonstrated in a unique and recent prospective clinical validation study on brain tumours. We herein highlight the importance of early detection in cancer research using FTIR, discussing the technique, the suitability of serum for analysis and previous studies, with special focus on pre-clinical factors and clinical translation requirements and development.
傅里叶变换红外光谱（FTIR）已被科学研究人员广泛用于提高癌症的诊断和治疗效果，研究人员使用各种生物体液和组织进行了此项研究。该技术已被证明在分析人类血清方面易于使用、快速且具有成本效益，可用于区分癌症与健康对照样本。通过机器学习算法对样本进行分类，可实现高灵敏度和特异性，为改变癌症转诊途径提供了机会，这在一项针对脑肿瘤的独特且最近的前瞻性临床验证研究中得到了证明。在此，我们强调了使用 FTIR 进行癌症研究的早期检测的重要性，讨论了该技术、血清分析的适用性以及之前的研究，特别关注了临床前因素以及临床转化的要求和发展。
