As multiple malignant phenotypes appear during cancer progression, it is essential to recognize the possible mechanisms from original to metastatic states. However, both two-dimensional monolayer cell culture and in vivo animal models have their inherent limitations, such as lack of proper cell-ECM interactions and uncontrollable variables. By their heterogeneous simulation of tumor processes, 3D organoids can better recapitulate real tumor characteristics and more realistic responses to distinct factors. Herein, this study was designed to establish in vitro 3D breast cancer organoid models in the recreating tumor-stroma niche by using alginate cryogels to mimic the porous ECM, especially to introduce the controlled release of matrix-bound growth factor EGF (83Â % positive in human breast cancers). The matrix-bound EGF in the biomimetic ECM promoted malignant phenotypes of breast cancer organoids in proliferation, migration, epithelial-mesenchymal transition, apoptosis and drug resistance, in accordance with clinical evidence. The multi-omics analyses combined with molecular biological experiments revealed both cytokine-cytokine receptor interaction and ECM-receptor interaction functioned to activate PI3K-AKT pathways, to stimulate tumor-promoting cytokines (eg., IL18, IL33, GDF-15), to promote gene expression of ECM components (eg., FN1) and metabolic enzymes (eg., GOT2), and finally to reprogram breast cancer energy metabolism. This system would represent a new paradigm of cancer progression studies using in vitro 3D organoids in a biomimetic ECM, in order to develop novel therapeutic strategies and evaluate preclinical treatments.
Matrix-bound EGF promotes malignant phenotypes of breast cancer organoids in the biomimetic ECM of alginate.
基质结合的 EGF 在仿生藻酸盐 ECM 中促进乳腺癌类器官的恶性表型
阅读:13
作者:Chen Xue-Yu, Wang Meng-Yuan, Shu Xin, Li Jun, Tang Ruizhi, Liu Xi-Qiu
| 期刊: | Materials Today Bio | 影响因子: | 10.200 |
| 时间: | 2025 | 起止号: | 2025 Apr 29; 32:101818 |
| doi: | 10.1016/j.mtbio.2025.101818 | 研究方向: | 肿瘤 |
| 疾病类型: | 乳腺癌 | ||
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
