Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Department of Pathology, University of Illinois at Chicago, Chicago, IL 60612, USA.
Sci Adv. 2021 Feb 3;7(6). doi: 10.1126/sciadv.abb8292. Print 2021 Feb.
The structure and organization of a tumor and its microenvironment are often associated with cancer outcomes due to spatially varying molecular composition and signaling. A persistent challenge is to use this physical and chemical spatial organization to understand cancer progression. Here, we present a high-definition infrared imaging-based organizational measurement framework (INFORM) that leverages intrinsic chemical contrast of tissue to label unique components of the tumor and its microenvironment. Using objective and automated computational methods, further, we determine organization characteristics important for prediction. We show that the tumor spatial organization assessed with this framework is predictive of overall survival in colon cancer that adds to capability from clinical variables such as stage and grade, approximately doubling the risk of death in high-risk individuals. Our results open an all-digital avenue for measuring and studying the association between tumor spatial organization and disease progression.
肿瘤及其微环境的结构和组织通常与癌症结局相关,这是由于其空间上存在分子组成和信号的差异。一个持续存在的挑战是利用这种物理和化学的空间组织来理解癌症的进展。在这里,我们提出了一种基于高清晰度红外成像的组织测量框架(INFORM),该框架利用组织的固有化学对比来标记肿瘤及其微环境的独特成分。此外,我们还使用客观和自动化的计算方法来确定对预测重要的组织特征。我们发现,使用该框架评估的肿瘤空间组织与结肠癌的总生存率相关,这增加了来自临床变量(如分期和分级)的能力,使高危人群的死亡风险增加约一倍。我们的研究结果为测量和研究肿瘤空间组织与疾病进展之间的关系开辟了一条全数字化的途径。