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A method for estimating the oxygen consumption rate in multicellular tumour spheroids

机译:一种估算多细胞肿瘤球体耗氧率的方法

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摘要

Hypoxia occurs when oxygen levels within a tissue drop below normal physiological levels. In tumours, hypoxia is associated with poor prognosis, increased likelihood of metastasis and resistance to therapy. Imaging techniques, for example, positron emission tomography, are increasingly used in the monitoring of tumour hypoxia and have the potential to help in the planning of radiotherapy. For this application, improved understanding of the link between image contrast and quantitative underlying oxygen distribution would be very useful. Mathematical models of tissue hypoxia and image formation can help understand this. Hypoxia is caused by an imbalance between vascular supply and tissue demand. While much work has been dedicated to the quantitative description of tumour vascular networks, consideration of tumour oxygen consumption is largely neglected. Oxidative respiration in standard two-dimensional cell culture has been widely studied. However, two-dimensional culture fails to capture the complexities of growing three-dimensional tissue which could impact on the oxygen usage. In this study, we build on previous descriptions of oxygen consumption and diffusion in three-dimensional tumour spheroids and present a method for estimating rates of oxygen consumption from spheroids, validated using stained spheroid sections. Methods for estimating the local partial pressure of oxygen, the diffusion limit and the extents of the necrotic core, hypoxic region and proliferating rim are also derived. These are validated using experimental data from DLD1 spheroids at different stages of growth. A relatively constant experimentally derived diffusion limit of 232 ± 22 μm and an O2 consumption rate of 7.29 ± 1.4 × 10−7 m3 kg−1 s−1 for the spheroids studied was measured, in agreement with laboratory measurements.
机译:当组织内的氧气水平降至正常生理水平以下时,就会发生缺氧。在肿瘤中,缺氧与预后不良,转移的可能性增加以及对治疗的抵抗力有关。成像技术,例如正电子发射断层显像技术,越来越多地用于监测肿瘤缺氧,并有可能帮助规划放射治疗。对于此应用程序,更好地理解图像对比度与定量基础氧气分布之间的联系将非常有用。组织缺氧和图像形成的数学模型可以帮助理解这一点。缺氧是由血管供应和组织需求之间的不平衡引起的。尽管许多工作致力于定量描述肿瘤血管网络,但很大程度上忽略了对肿瘤耗氧量的考虑。标准二维细胞培养中的氧化呼吸已被广泛研究。但是,二维培养无法捕获正在生长的三维组织的复杂性,这可能会影响氧气的使用。在这项研究中,我们以先前在三维肿瘤球体中耗氧量和扩散的描述为基础,并提出了一种从球体中估计耗氧率的方法,并使用染色的球体切片进行了验证。还推导了估计氧的局部分压,扩散极限以及坏死核,低氧区域和增生边缘的程度的方法。使用来自DLD1球体在不同生长阶段的实验数据验证了这些结果。实验得出的相对恒定的扩散极限为232±22μm,O2消耗率为7.29±1.4×10 −7 m 3 kg -1 s -1 ,与实验室测量结果一致。

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