Honeycomb-like Structured Film, a Novel Therapeutic Device, Suppresses Tumor Growth in an In Vivo Ovarian Cancer Model.
Tsuyoshi OhtaMasaru TanakaSeitaro TakiHiroyuki NakagawaSatoru NagasePublished in: Cancers (2022)
Ovarian cancer cell dissemination can lead to the mortality of patients with advanced ovarian cancer. Complete surgery for no gross residual disease contributes to a more favorable prognosis than that of patients with residual disease. HCFs have highly regular porous structures and their 3D porous structures act as scaffolds for cell adhesion. HCFs are fabricated from biodegradable polymers and have been widely used in tissue engineering. This study aimed to show that HCFs suppress tumor growth in an in vivo ovarian cancer model. The HCF pore sizes had a significant influence on tumor growth inhibition, and HCFs induced morphological changes that rounded out ovarian cancer cells. Furthermore, we identified gene ontology (GO) terms and clusters of genes downregulated by HCFs. qPCR analysis demonstrated that a honeycomb structure downregulated the expression of CXCL2, FOXC1, MMP14, and SNAI2, which are involved in cell proliferation, migration, invasion, angiogenesis, focal adhesion, extracellular matrix (ECM), and epithelial-mesenchymal transition (EMT). Collectively, HCFs induced abnormal focal adhesion and cell morphological changes, subsequently inhibiting the differentiation, proliferation and motility of ovarian cancer cells. Our data suggest that HCFs could be a novel device for inhibiting residual tumor growth after surgery, and could reduce surgical invasiveness and improve the prognosis for patients with advanced ovarian cancer.
Keyphrases
- tissue engineering
- extracellular matrix
- epithelial mesenchymal transition
- signaling pathway
- cell adhesion
- cell migration
- cell proliferation
- high glucose
- diabetic rats
- biofilm formation
- high resolution
- poor prognosis
- genome wide
- pi k akt
- drug induced
- endothelial cells
- drug delivery
- oxidative stress
- cell therapy
- transforming growth factor
- cardiovascular events
- cardiovascular disease
- gold nanoparticles
- cystic fibrosis
- escherichia coli
- stem cells
- dna methylation
- mass spectrometry
- type diabetes
- coronary artery disease
- atrial fibrillation
- room temperature
- deep learning
- ionic liquid
- data analysis