优化亚甲基蓝和纳米脂质体苯并卟啉光动力治疗胰腺癌球体的药理学和光学剂量学

Onco Pub Date : 2022-01-07 DOI:10.3390/onco2010002
Tristan le Clainche, Nazareth Milagros Carigga Gutierrez, Núria Pujol-Solé, J. Coll, M. Broekgaarden
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引用次数: 3

摘要

光动力疗法(PDT)是一种依靠远程控制激活癌症组织中的光催化染料(光敏剂)的癌症治疗方法。为了有效地治疗癌症,各种药理和光学参数需要优化,这取决于光敏剂的类型。由于大多数光敏剂是疏水分子,纳米脂质体经常被用来增加这些疗法的生物相容性。然而,由于纳米脂质体会影响光敏剂的治疗性能,因此需要阐明最合适的治疗参数。在这里,我们评估了PDT对PANC-1和MIA PaCa-2胰腺癌细胞球形培养的疗效。选择了两种光敏化胰腺微肿瘤的策略,基于纳米脂质体苯并卟啉衍生物(BPD)或非脂质体亚甲基蓝(MB)。使用全面的基于图像的分析,我们的研究结果表明,PDT功效表现在不同的方式为每个光敏剂。此外,每种光敏剂的功效受到光敏剂剂量、光剂量(以J/cm2为单位的辐射暴露或影响)和剂量率(以mW/cm2为单位的影响)的不同影响。综上所述,我们的研究结果表明,PDT最合适的光剂量法在很大程度上取决于所选择的光敏化策略。因此,PDT剂量参数应始终针对不同的癌症模型仔细优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing the Pharmacological and Optical Dosimetry for Photodynamic Therapy with Methylene Blue and Nanoliposomal Benzoporphyrin on Pancreatic Cancer Spheroids
Photodynamic therapy (PDT) is a cancer treatment that relies on the remote-controlled activation of photocatalytic dyes (photosensitizers) in cancer tissues. To effectively treat cancer, a variety of pharmacological and optical parameters require optimization, which are dependent on the photosensitizer type. As most photosensitizers are hydrophobic molecules, nanoliposomes are frequently used to increase the biocompatibility of these therapeutics. However, as nanoliposomes can influence the therapeutic performance of photosensitizers, the most suitable treatment parameters need to be elucidated. Here, we evaluate the efficacy of PDT on spheroid cultures of PANC-1 and MIA PaCa-2 pancreatic cancer cells. Two strategies to photosensitize the pancreatic microtumors were selected, based on either nanoliposomal benzoporphyrin derivative (BPD), or non-liposomal methylene blue (MB). Using a comprehensive image-based assay, our findings show that the PDT efficacy manifests in distinct manners for each photosensitizer. Moreover, the efficacy of each photosensitizer is differentially influenced by the photosensitizer dose, the light dose (radiant exposure or fluence in J/cm2), and the dose rate (fluence rate in mW/cm2). Taken together, our findings illustrate that the most suitable light dosimetry for PDT strongly depends on the selected photosensitization strategy. The PDT dose parameters should therefore always be carefully optimized for different models of cancer.
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