Department of Medical Biophysics, University of Toronto, Toronto, Canada.
Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada.
Sci Rep. 2022 Jul 25;12(1):12652. doi: 10.1038/s41598-022-16178-3.
Using a novel variant of polarized light microscopy for high-contrast imaging and quantification of unstained histology slides, the current study assesses the prognostic potential of peri-tumoral collagenous stroma architecture in 32 human stage III colorectal cancer (CRC) patient samples. We analyze three distinct polarimetrically-derived images and their associated texture features, explore different unsupervised clustering algorithm models to group the data, and compare the resultant groupings with patient survival. The results demonstrate an appreciable total accuracy of ~ 78% with significant separation (p < 0.05) across all approaches for the binary classification of 5-year patient survival outcomes. Surviving patients preferentially belonged to Cluster 1 irrespective of model approach, suggesting similar stromal microstructural characteristics in this sub-population. The results suggest that polarimetrically-derived stromal biomarkers may possess prognostic value that could improve clinical management/treatment stratification in CRC patients.
利用一种新型的偏振光显微镜,对未经染色的组织学载玻片进行高对比度成像和定量分析,本研究评估了 32 例人 III 期结直肠癌(CRC)患者样本中肿瘤周围胶原基质结构的预后潜力。我们分析了三种不同的偏光衍生图像及其相关的纹理特征,探索了不同的无监督聚类算法模型来对数据进行分组,并将得到的分组与患者的生存情况进行比较。结果表明,对于 5 年患者生存结果的二分类,所有方法的总准确率约为 78%,具有显著的分离(p<0.05)。无论采用哪种模型方法,存活患者都优先属于聚类 1,提示该亚群中存在相似的基质微观结构特征。结果表明,偏振衍生的基质生物标志物可能具有预后价值,可以改善 CRC 患者的临床管理/治疗分层。