多细胞生物
卵巢癌
炸薯条
癌症研究
肿瘤科
计算机科学
内科学
癌症
计算生物学
医学
生物
基因
电信
遗传学
作者
Jiexian Ye,Hao Lin,Zilin Zhang,Shihui Xu,Feili Lo Yang,Xue-Mei ZhuanSun,Feng Ji,Y. F. Zhang,Yuxin Zhu,Jing Zhang,Zaozao Chen,Zhongze Gu,Yang Shen
标识
DOI:10.1016/j.eng.2025.08.028
摘要
Ovarian cancer remains a highly lethal gynecologic malignancy. Early diagnosis poses significant challenges, and the five-year survival rate is consistently below 45%. Current standard-of-care combines surgical resection with platinum-based chemotherapy. Emerging therapeutic modalities like chimeric antigen receptor-T (CAR-T) therapy show promise, though they face efficacy constraints due to tumor heterogeneity and immunosuppressive microenvironments. Conventional models including two-dimensional (2D) cultures and patient-derived xenografts are increasingly supplanted by organoid and tumor-on-a-chip technologies due to intrinsic limitations and poor clinical translatability. This study established multiple tumor-on-a-chip platforms derived from ovarian cancer organoids and conducted systematic in vitro drug sensitivity screening. Furthermore, by utilizing patient-derived organoids to engineer multicellular dynamic microenvironments, we achieved one of the extremely limited evaluations of CAR-T efficacy against solid tumors within ovarian cancer microfluidic systems. This work establishes an enhanced preclinical platform to advance therapeutic screening and personalized treatment development.
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