Caballero D, Lima A C, Abreu C M, Neves N M, Correlo V M, Oliveira J M, Reis R L, Kundu S C
3B's Research Group, I3Bs - Research Institute on Biomaterials, Biodegradables and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence On Tissue Engineering and Regenerative Medicine, 4805-017 Barco, Guimarães, Portugal.
ICVS/3B's - PT Government Associate Laboratory, 4805-017 Braga/Guimarães, Portugal.
In Vitro Model. 2022 May 16;1(3):229-239. doi: 10.1007/s44164-022-00020-1. eCollection 2022 Jun.
An important hallmark in cancer research is the discovery of suitable features capable to reliably predict tumor invasiveness, and consequently, their metastatic potential at an early stage. Current methods are based on molecular biomarker screening and imaging that may not reveal the altered properties of tumor cells, being also labor-intensive and costly. Biophysical-based methodologies provide a new framework assessing-and even predicting-the invasion potential of tumors with improved accuracy. In particular, the stochastic fluctuations of cancer invasive protrusions can be used as a tumor-specific biophysical indicator of its aggressiveness. In this methodology, tumor micro-spheroids with different metastatic capabilities were employed as in vitro models to analyze protrusion activity. It is described the procedure for extracting the descriptive biophysical parameters characteristic of protrusion activity, which magnitude depends on the invasion capability of tumors. Next, a simple mathematical approach is employed to define a predictive index that correlates with tumor invasiveness. Overall, this innovative approach may provide a simple method for unveiling cancer invasiveness and complement existing diagnosis methodologies.
The online version contains supplementary material available at 10.1007/s44164-022-00020-1.
癌症研究中的一个重要标志是发现能够可靠预测肿瘤侵袭性以及早期转移潜能的合适特征。当前的方法基于分子生物标志物筛选和成像,可能无法揭示肿瘤细胞的改变特性,而且劳动强度大、成本高。基于生物物理的方法提供了一个新框架,能够以更高的准确性评估甚至预测肿瘤的侵袭潜能。特别是,癌症侵袭性突起的随机波动可作为其侵袭性的肿瘤特异性生物物理指标。在这种方法中,采用具有不同转移能力的肿瘤微球体作为体外模型来分析突起活性。描述了提取突起活性特征性描述性生物物理参数的过程,其大小取决于肿瘤的侵袭能力。接下来,采用一种简单的数学方法来定义一个与肿瘤侵袭性相关的预测指标。总体而言,这种创新方法可能为揭示癌症侵袭性提供一种简单方法,并补充现有的诊断方法。
在线版本包含可在10.1007/s44164-022-00020-1获取的补充材料。