Sprenger Jillian, Murray Ciara, Lad Jigar, Jones Blake, Thomas Georgia, Nofech-Mozes Sharon, Khorasani Mohammadali, Vitkin Alex
Department of Medical Biophysics, University of Toronto, Toronto, Canada.
Laboratory Medicine Program, University Health Network, Ontario, Canada.
Biomed Opt Express. 2021 May 10;12(6):3241-3252. doi: 10.1364/BOE.422452. eCollection 2021 Jun 1.
The tumour-stroma ratio (TSR) has been explored as a useful source of prognostic information in various cancers, including colorectal, breast, and gastric. Despite research showing potential prognostic utility, its uptake into the clinic has been limited, in part due to challenges associated with subjectivity, reproducibility, and quantification. We have recently proposed a simple, robust, and quantifiable high-contrast method of imaging intra- and peri-tumoural stroma based on polarized light microscopy. Here we report on its use to quantify TSR in human breast cancer using unstained slides from 40 patient samples of invasive ductal carcinoma (IDC). Polarimetric results based on a stromal abundance metric correlated well with pathology designations, showing a statistically significant difference between high- and low-stroma samples as scored by two clinical pathologists. The described polarized light imaging methodology shows promise for use as a quantitative, automatic, and standardizable tool for quantifying TSR, potentially addressing some of the challenges associated with its current estimation.
肿瘤-基质比(TSR)已被探索作为各种癌症(包括结直肠癌、乳腺癌和胃癌)预后信息的有用来源。尽管研究表明其具有潜在的预后效用,但它在临床中的应用一直有限,部分原因是与主观性、可重复性和量化相关的挑战。我们最近提出了一种基于偏光显微镜的简单、稳健且可量化的高对比度方法,用于对肿瘤内和肿瘤周围基质进行成像。在此,我们报告了使用40例浸润性导管癌(IDC)患者样本的未染色玻片,通过该方法对人乳腺癌中的TSR进行量化的情况。基于基质丰度指标的偏振测量结果与病理诊断结果相关性良好,两名临床病理学家对高基质和低基质样本的评分显示出统计学上的显著差异。所描述的偏光成像方法有望作为一种定量、自动且可标准化的工具来量化TSR,有可能解决当前估计TSR所面临的一些挑战。