在体外肿瘤微球模型中,量化肿瘤突起作为肿瘤特异性生物物理预测因子。

IF 2.4
In vitro models Pub Date : 2022-05-16 eCollection Date: 2022-06-01 DOI:10.1007/s44164-022-00020-1
D Caballero, A C Lima, C M Abreu, N M Neves, V M Correlo, J M Oliveira, R L Reis, S C Kundu
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引用次数: 0

摘要

癌症研究的一个重要标志是发现合适的特征,能够可靠地预测肿瘤的侵袭性,从而在早期阶段预测其转移潜力。目前的方法是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,也是劳动密集型和昂贵的。基于生物物理学的方法提供了一个新的框架,评估甚至预测肿瘤的侵袭潜力,提高了准确性。特别是,肿瘤侵袭性突起的随机波动可以作为肿瘤特异性的生物物理指标。在该方法中,采用具有不同转移能力的肿瘤微球作为体外模型来分析突出活动。描述了提取突出活动特征的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,采用简单的数学方法来定义与肿瘤侵袭性相关的预测指数。总的来说,这种创新的方法可能为揭示癌症的侵袭性提供一种简单的方法,并补充现有的诊断方法。补充资料:在线版本包含补充资料,提供地址:10.1007/s44164-022-00020-1。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantifying protrusions as tumor-specific biophysical predictors of cancer invasion in in vitro tumor micro-spheroid models.

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.

Supplementary information: The online version contains supplementary material available at 10.1007/s44164-022-00020-1.

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