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In Vivo Bioluminescence Tomography for Monitoring Breast Tumor Growth and Metastatic Spreading: Comparative Study and Mathematical Modeling

机译:体内生物发光层析成像技术监测乳腺癌的生长和转移的扩散:比较研究和数学建模

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摘要

This study aimed at evaluating the reliability and precision of Diffuse Luminescent Imaging Tomography (DLIT) for monitoring primary tumor and metastatic spreading in breast cancer mice, and to develop a biomathematical model to describe the collected data. Using orthotopic mammary fat pad model of breast cancer (MDAMB231-Luc) in mice, we monitored tumor and metastatic spreading by three-dimensional (3D) bioluminescence and cross-validated it with standard bioluminescence imaging, caliper measurement and necropsy examination. DLIT imaging proved to be reproducible and reliable throughout time. It was possible to discriminate secondary lesions from the main breast cancer, without removing the primary tumor. Preferential metastatic sites were lungs, peritoneum and lymph nodes. Necropsy examinations confirmed DLIT measurements. Marked differences in growth profiles were observed, with an overestimation of the exponential phase when using a caliper as compared with bioluminescence. Our mathematical model taking into account the balance between living and necrotic cells proved to be able to reproduce the experimental data obtained with a caliper or DLIT imaging, because it could discriminate proliferative living cells from a more composite mass consisting of tumor cells, necrotic cell, or inflammatory tissues. DLIT imaging combined with mathematical modeling could be a powerful and informative tool in experimental oncology.
机译:这项研究旨在评估弥散性发光成像层析成像(DLIT)在乳腺癌小鼠中监测原发性肿瘤和转移性扩散的可靠性和准确性,并开发一种描述收集数据的生物数学模型。使用小鼠乳腺癌的原位乳腺脂肪垫模型(MDAMB231-Luc),我们通过三维(3D)生物发光监测肿瘤和转移性扩散,并通过标准生物发光成像,卡尺测量和尸检检查对其进行交叉验证。事实证明,DLIT成像可重复且可靠。可以在不去除原发肿瘤的情况下将继发性病变与主要乳腺癌区分开。优选的转移部位是肺,腹膜和淋巴结。尸检证实了DLIT测量。观察到生长曲线的显着差异,与生物发光相比,使用卡尺时,指数相被高估了。我们的数学模型充分考虑了活细胞和坏死细胞之间的平衡,因此能够重现通过卡尺或DLIT成像获得的实验数据,因为它可以将增殖活细胞与肿瘤细胞,坏死细胞,或炎性组织。 DLIT成像与数学建模相结合可能是实验肿瘤学中功能强大且信息丰富的工具。

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