Spalding Katie, Board Ruth, Dawson Timothy, Jenkinson Michael D, Baker Matthew J
WestCHEM Department of Pure and Applied Chemistry Technology & Innovation Centre University of Strathclyde 99 George Street Glasgow G1 1RD UK.
Rosemere Cancer Centre Lancashire Teaching Hospitals NHS Trust Royal Preston Hospital Sharoe Green Lane Preston PR2 9HT UK.
Brain Behav. 2016 Jun 29;6(9):e00502. doi: 10.1002/brb3.502. eCollection 2016 Sep.
Spectroscopic and spectrometric analysis of biological samples is regarded as quick, cost effective, easy to operate, and spectroscopic sample preparation involves minimal sample preparation.
Techniques like infrared (IR) spectroscopy, surface-enhanced laser desorption/ionization (SELDI)-mass spectroscopy (MS), and matrix-assisted laser desorption/ionization (MALDI) -MS could enable early diagnosis of cancer, disease monitoring, and assessment of treatment responses allowing refinement, if required.
Carrying out analytical testing within outpatient clinics would dramatically cut the time spent by patients attending different appointments, at different locations, save hospital time and resources but importantly would theoretically enable a reduction in mortality and morbidity. While the advantages of such a prospect seem obvious, this review aims to evaluate the use of human serum spectroscopic and spectrometric analysis as a diagnostic tool for brain cancers, creating a platform for the future of cancer diagnostics.
生物样品的光谱和光谱分析被认为是快速、经济高效、易于操作的,并且光谱样品制备所需的样品制备最少。
红外(IR)光谱、表面增强激光解吸/电离(SELDI)-质谱(MS)和基质辅助激光解吸/电离(MALDI)-MS等技术能够实现癌症的早期诊断、疾病监测以及治疗反应评估,如有需要还可进行优化。
在门诊诊所进行分析测试将大幅减少患者在不同地点参加不同预约所花费的时间,节省医院的时间和资源,但重要的是从理论上讲能够降低死亡率和发病率。虽然这种前景的优势似乎显而易见,但本综述旨在评估人血清光谱和光谱分析作为脑癌诊断工具的用途,为癌症诊断的未来创造一个平台。