Suppr超能文献

可视化和建模颅内胶质瘤内神经干细胞空间分布的新方法。

Novel method for visualizing and modeling the spatial distribution of neural stem cells within intracranial glioma.

作者信息

Lin David, Najbauer Joseph, Salvaterra Paul M, Mamelak Adam N, Barish Michael E, Garcia Elizabeth, Metz Marianne Z, Kendall Stephen E, Bowers Marisa, Kateb Babak, Kim Seung U, Johnson Margaret, Aboody Karen S

机构信息

Division of Hematology and Hematopoietic Cell Transplantation, City of Hope National Medical Center and Beckman Research Institute, Duarte, CA 91010, USA.

出版信息

Neuroimage. 2007;37 Suppl 1:S18-26. doi: 10.1016/j.neuroimage.2007.03.076. Epub 2007 May 13.

Abstract

Neural stem cells (NSCs) hold great promise for glioma therapy due to their inherent tumor-tropic properties, enabling them to deliver therapeutic agents directly to invasive tumor sites. In the present study, we visualized and quantitatively analyzed the spatial distribution of tumor-tropic NSCs in a mouse model of orthotopic glioma in order to predict the therapeutic efficacy of a representative NSC-based glioma therapy. U251.eGFP human glioma was established in the brain of athymic mice, followed by stereotactic injection of CM-DiI-labeled human NSCs posterior-lateral to the tumor site. Confocal microscopy, three-dimensional modeling and mathematical algorithms were used to visualize and characterize the spatial distribution of NSCs throughout the tumor. The pattern of NSC distribution showed a gradient with higher densities toward the centroid of the tumor mass. We estimate that NSC-mediated therapy would eradicate 70-90% of the primary tumor mass and the majority of invasive tumor foci. Our method may serve as a model for optimizing the efficacy of NSC-based glioma therapy.

摘要

神经干细胞(NSCs)因其固有的肿瘤趋向性,有望用于胶质瘤治疗,这使它们能够将治疗剂直接递送至侵袭性肿瘤部位。在本研究中,我们在原位胶质瘤小鼠模型中对肿瘤趋向性神经干细胞的空间分布进行了可视化和定量分析,以预测一种具有代表性的基于神经干细胞的胶质瘤治疗的疗效。将U251.eGFP人胶质瘤接种于无胸腺小鼠脑内,随后在肿瘤部位后外侧立体定向注射CM-DiI标记的人神经干细胞。利用共聚焦显微镜、三维建模和数学算法对神经干细胞在整个肿瘤中的空间分布进行可视化和表征。神经干细胞的分布模式呈梯度变化,朝向肿瘤块质心的密度更高。我们估计,神经干细胞介导的治疗将根除70-90%的原发性肿瘤块和大多数侵袭性肿瘤病灶。我们的方法可作为优化基于神经干细胞的胶质瘤治疗疗效的模型。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验