肿瘤球状体细胞外基质侵袭癌细胞的自动化分析

IF 4.6 Q1 CHEMISTRY, ANALYTICAL
Jacob Heiss,  and , Hossein Tavana*, 
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引用次数: 0

摘要

癌症患者死亡的主要原因是转移性疾病。癌细胞侵入基质组织并侵入循环系统或淋巴系统,最终在其他器官形成新的肿瘤,这就是转移。阻止癌细胞入侵有可能预防或减少癌症的转移。在三维培养物中测试不同化合物对细胞侵袭的作用是一种常见的实验室技术。通常使用图像处理技术,通过共聚焦显微镜下的细胞图像来评估治疗效果。然而,由于用户在处理每张图像时必须做出决定,因此分析方法往往会出现差异和不一致。为了克服这一局限性,我们开发了一种全自动方法,用于量化癌细胞从三维肿瘤球体侵入周围细胞外基质的情况。我们证明,这种方法可以分辨不同形状和大小的球体中的细胞侵袭,以及细胞以集群或单个形式的侵袭。我们还证明,这种方法有助于量化一种常用化疗药物的剂量依赖性抗侵袭效果。我们的自动化方法大大缩短了时间,提高了三维培养物中癌细胞侵袭分析的一致性和准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Automated Analysis of Extracellular Matrix Invasion of Cancer Cells from Tumor Spheroids

Automated Analysis of Extracellular Matrix Invasion of Cancer Cells from Tumor Spheroids

Automated Analysis of Extracellular Matrix Invasion of Cancer Cells from Tumor Spheroids

The main cause of mortality among cancer patients is metastatic disease. Metastasis develops from cancer cells that invade the stromal tissue and intravasate the circulatory or lymphatic systems to eventually form new tumors in other organs. Blocking cancer cell invasion can potentially prevent or reduce the metastatic progression of cancers. Testing different chemical compounds against cell invasion in three-dimensional cultures is a common laboratory technique. The efficacy of the treatments is often evaluated from confocal microscopic images of the cells using image processing. However, the analysis approaches are often subject to variations and inconsistencies due to user decisions that must be made while processing each image. To overcome this limitation, we developed a fully automated method to quantify the invasion of cancer cells from a 3D tumor spheroid into the surrounding extracellular matrix. We demonstrated that this method resolves cell invasion from spheroids of different shapes and sizes and from cells that invade as a cluster or individually. We also showed that this approach can help quantify the dose-dependent anti-invasive effects of a commonly used chemotherapy drug. Our automated method significantly reduces the time and increases the consistency and accuracy of cancer cell invasion analysis in three-dimensional cultures.

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来源期刊
ACS Measurement Science Au
ACS Measurement Science Au 化学计量学-
CiteScore
5.20
自引率
0.00%
发文量
0
期刊介绍: ACS Measurement Science Au is an open access journal that publishes experimental computational or theoretical research in all areas of chemical measurement science. Short letters comprehensive articles reviews and perspectives are welcome on topics that report on any phase of analytical operations including sampling measurement and data analysis. This includes:Chemical Reactions and SelectivityChemometrics and Data ProcessingElectrochemistryElemental and Molecular CharacterizationImagingInstrumentationMass SpectrometryMicroscale and Nanoscale systemsOmics (Genomics Proteomics Metabonomics Metabolomics and Bioinformatics)Sensors and Sensing (Biosensors Chemical Sensors Gas Sensors Intracellular Sensors Single-Molecule Sensors Cell Chips Arrays Microfluidic Devices)SeparationsSpectroscopySurface analysisPapers dealing with established methods need to offer a significantly improved original application of the method.
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