Development of a hydrogel-based three Dimensional (3D) Glioblastoma Cell lines Culture as a Model System for CD73 inhibitor response study

Author:

Bahraminasab Marjan1,Asgharzade Samira2,Doostmohamadi Ali1,Satari Atefeh2,Hasannejad Farkhonde1,Arab Samaneh1

Affiliation:

1. Semnan University of Medical Sciences

2. Shahrekord University of Medical Sciences

Abstract

Abstract Despite the development of various therapeutic approaches over the past decades, the glioblastoma (GBM) treatment remains a major challenge. The extracellular adenosine-generating enzyme CD73 is involved in the pathogenesis and progression of GBM, and targeting CD73 may represent a novel approach to this cancer. This study characterized three-dimensional culture systems based on three compositions of hydrogel and chose an optimum type for local delivery of CD73 to target GBM cells as a possible therapeutic approach for this disease. Rheology measurements, Fourier Transform Infrared Spectroscopy (FT-IR), Scanning Electron Microscopy (SEM), and cell proliferation assay were conducted to analyze the synthesized hydrogel and choose an optimal formula. The viability of tumor cells in the optimal hydrogel was assessed by histology and confocal microscopy imaging. Furthermore, tumor cells' sensitivity to CD73 inhibitor was investigated by cell proliferation assay and real-time PCR. The data demonstrated that the hydrogel with 5 w% gelatin and 5 w% sodium alginate had superior rheological properties and cell viability. Therefore, it could provide a more suitable environment for GBM cells and mimic the natural microenvironment more properly. CD73 inhibitor-treated GBM cells significantly decreased proliferation rate and expressions of VEGF and HIF1-α within the optimal hydrogel. Our current research revealed the great potential of CD73 inhibitor for clinical translation of cancer study by analyzing 3D tumor cell behavior and function, and therefore for more effective treatment protocols for GBM.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3