Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, ON M5G 1P5, Canada.
Analyst. 2017 Aug 21;142(17):3250-3260. doi: 10.1039/c7an00830a.
Squamous cell carcinomas constitute a major class of head & neck cancers, where the tumour stroma ratio (TSR) carries prognostic information. Patients affected by stroma-rich tumours exhibit a poor prognosis and a higher chance of relapse. As such, there is a need for a technology platform that allows rapid determination of the tumour stroma ratio. In this work, we provide a proof-of-principle demonstration that Desorption Electrospray Ionization Mass Spectrometry (DESI-MS) can be used to determine tumour stroma ratios. Slices from three independent mouse xenograft tumours from the human FaDu cell line were subjected to DESI-MS imaging, staining and detailed analysis using digital pathology methods. Using multivariate statistical methods we compared the MS profiles with those of isolated stromal cells. We found that m/z 773.53 [PG(18:1)(18:1) - H], m/z 835.53 [PI(34:1) - H] and m/z 863.56 [PI(18:1)(18:0) - H] are biomarker ions that can distinguish FaDu cancer from cancer associated fibroblast (CAF) cells. A comparison with DESI-MS analysis of controlled mixtures of the CAF and FaDu cells showed that the abundance of the biomarker ions above can be used to determine, with an error margin of close to 5% compared with quantitative pathology estimates, TSR values. This proof-of-principle demonstration is encouraging and must be further validated using human samples and a larger sample base. At maturity, DESI-MS thus may become a stand-alone molecular pathology tool providing an alternative rapid cancer assessment without the need for time-consuming staining and microscopy methods, potentially further conserving human resources.
鳞状细胞癌是头颈部癌症的主要类型之一,其中肿瘤基质比(TSR)具有预后信息。受富含基质肿瘤影响的患者预后不良,复发的可能性更高。因此,需要有一种技术平台能够快速确定肿瘤基质比。在这项工作中,我们提供了一个原理证明,即解吸电喷雾电离质谱(DESI-MS)可用于确定肿瘤基质比。来自人 FaDu 细胞系的三个独立的小鼠异种移植肿瘤切片接受 DESI-MS 成像、染色,并使用数字病理学方法进行详细分析。使用多变量统计方法,我们将 MS 图谱与分离的基质细胞的图谱进行了比较。我们发现 m/z 773.53 [PG(18:1)(18:1) - H]、m/z 835.53 [PI(34:1) - H] 和 m/z 863.56 [PI(18:1)(18:0) - H]是可以区分 FaDu 癌与癌症相关成纤维细胞(CAF)的生物标志物离子。与 CAF 和 FaDu 细胞的受控混合物的 DESI-MS 分析比较表明,上述生物标志物离子的丰度可用于确定 TSR 值,与定量病理学估计值的误差幅度接近 5%。这一原理证明是令人鼓舞的,必须使用人类样本和更大的样本基础进一步验证。成熟后,DESI-MS 可能成为一种独立的分子病理学工具,提供一种无需耗时的染色和显微镜方法的快速癌症评估替代方案,可能进一步节省人力资源。