肿瘤微环境中肿瘤-免疫空间关系特征化新颖框架 (A Novel Framework for Characterization of Tumor-Immune Spatial Relationships in Tumor Microenvironment)

Mahmudul Hasan,Jakub R. Kaczmarzyk,David Paredes,Lyanne Oblein,Jaymie Oentoro,Shahira Abousamra,Michael Horowitz,Dimitris Samaras,Chao Chen,Tahsin Kurc,Kenneth R. Shroyer,Joel Saltz

Understanding the impact of tumor biology on the composition of nearby cells often requires characterizing the impact of biologically distinct tumor regions. Biomarkers have been developed to label biologically distinct tumor regions, but challenges arise because of differences in the spatial extent and distribution of differentially labeled regions. In this work, we present a framework for systematically investigating the impact of distinct tumor regions on cells near the tumor borders, accounting their cross spatial distributions. We apply the framework to multiplex immunohistochemistry (mIHC) studies of pancreatic cancer and show its efficacy in demonstrating how biologically different tumor regions impact the immune response in the tumor microenvironment. Furthermore, we show that the proposed framework can be extended to largescale whole slide image analysis.

翻译：了解肿瘤生物学对附近细胞构成的影响,往往要求说明生物特征不同的肿瘤区域的影响。生物标志已经开发,以给生物特征不同的肿瘤区域贴上标签,但由于有不同标签的区域的空间范围和分布不同而产生了挑战。在这项工作中,我们提出了一个框架,用于系统调查不同肿瘤区域对肿瘤边界附近的细胞的影响,并计算其跨空间分布。我们将这一框架应用于对胰腺癌的多氧免疫生物学化学研究,并展示其在证明生物特征不同的肿瘤区域如何影响肿瘤微生物环境中的免疫反应方面的有效性。此外,我们表明,拟议的框架可以扩大到大规模的整体幻灯片图像分析。