期刊
JOURNAL OF BIOMEDICAL MATERIALS RESEARCH PART A
卷 109, 期 6, 页码 1027-1035出版社
WILEY
DOI: 10.1002/jbm.a.37093
关键词
glioblastoma; gradient; hydrogels; patient-derived xenograft; stiffness; three-dimensional
资金
- NIH-NIDCR [1R01AR074502, NIH R01DE024772]
- Stanford Bio-X IIP grant award
- Stanford Child Health Research Institute Faculty Scholar Award
The study aims to develop a gradient hydrogel platform for investigating the effects of matrix stiffness on brain cancer. The results indicate that increasing stiffness can decrease proliferation and spreading of GBM cells, as well as increase resistance to drugs.
Brain cancer is a devastating disease given its extreme invasiveness and intricate location. Glioblastoma multiforme (GBM) is one of the most common forms of brain cancer, and cancer progression is often correlated with significantly altered tissue stiffness. To elucidate the effect of matrix stiffness on GBM cell fates, previous research is largely limited to 2D studies using immortalized cell lines, which has limited physiological relevance. The objective of the study is to develop gradient hydrogels with brain-mimicking stiffness range as a 3Din vitro GBM model for screening of the effects of matrix stiffness on GBM. To increase the physiological relevance, patient-derived tumor xenograft (PDTX) GBM cells were used. Our gradient platform allows formation of cell-containing hydrogels with stiffness ranging from 40 Pa to 1,300 Pa within a few minutes. By focusing on a brain-mimicking stiffness range, this gradient hydrogel platform is designed for investigating brain cancer. Increasing stiffness led to decreased GBM proliferation and less spreading, which is accompanied by downregulation of matrix-metalloproteinases (MMPs). Using temozolomide (TMZ) as a model drug, we demonstrate that increasing stiffness led to higher drug resistance by PDTX GBM cells in 3D, suggesting matrix stiffness can directly modulate how GBM cells respond to drug treatment. While the current study focuses on stiffness gradient, the setup may also be adapted for screening other cancer niche cues such as how biochemical ligand gradient modulates brain cancer progression and drug responses using reduced materials and time.
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