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用于筛选光动力治疗参数的癌球体形态学反应

Morphological Response in Cancer Spheroids for Screening Photodynamic Therapy Parameters.

作者信息

Aguilar Cosme Jose R, Gagui Dan C, Bryant Helen E, Claeyssens Frederik

机构信息

Department of Materials Science and Engineering, Kroto Research Institute, University of Sheffield, Sheffield, United Kingdom.

INSIGNEO Institute for in Silico Medicine, University of Sheffield, Sheffield, United Kingdom.

出版信息

Front Mol Biosci. 2021 Nov 18;8:784962. doi: 10.3389/fmolb.2021.784962. eCollection 2021.

Abstract

Photodynamic therapy (PDT) is a treatment which uses light-activated compounds to produce reactive oxygen species, leading to membrane damage and cell death. Multicellular cancer spheroids are a preferable alternative for PDT evaluation in comparison to monolayer cell cultures due to their ability to better mimic avascular tumour characteristics such as hypoxia and cell-cell interactions, low cost, and ease of production. However, inconsistent growth kinetics and drug responsiveness causes poor experimental reproducibility and limits their usefulness. Herein, we used image analysis to establish a link between human melanoma C8161 spheroid morphology and drug responsiveness. Spheroids were pre-selected based on sphericity, area, and diameter, reducing variation in experimental groups before treatment. Spheroid morphology after PDT was analyzed using AnaSP and ReViSP, MATLAB-based open-source software, obtaining nine different parameters. Spheroids displayed a linear response between biological assays and morphology, with area (R = 0.7219) and volume (R = 0.6138) showing the best fit. Sphericity, convexity, and solidity were confirmed as poor standalone indicators of spheroid viability. Our results indicate spheroid morphometric parameters can be used to accurately screen inefficient treatment combinations of novel compounds.

摘要

光动力疗法(PDT)是一种利用光激活化合物产生活性氧,导致细胞膜损伤和细胞死亡的治疗方法。与单层细胞培养相比,多细胞癌球体更适合用于PDT评估,因为它们能够更好地模拟无血管肿瘤的特征,如缺氧和细胞间相互作用,成本低且易于制备。然而,生长动力学和药物反应性不一致导致实验可重复性差,限制了它们的实用性。在此,我们使用图像分析来建立人类黑色素瘤C8161球体形态与药物反应性之间的联系。根据球形度、面积和直径对球体进行预选,减少治疗前实验组的差异。使用基于MATLAB的开源软件AnaSP和ReViSP分析PDT后的球体形态,获得九个不同参数。球体在生物学检测和形态之间呈现线性反应,面积(R = 0.7219)和体积(R = 0.6138)拟合度最佳。球形度、凸度和紧实度被确认为球体活力的不良独立指标。我们的结果表明,球体形态计量学参数可用于准确筛选新型化合物的低效治疗组合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4580/8637197/f99983b3a91f/fmolb-08-784962-g001.jpg

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