Luo Xiaofei, Chen Maike, Shan Han, Yu Xize, Lin Qibo, Tao Qian, Wei Xiongwei, Lv Changling, Chen Ziyan, Zhuo Fan, Zhu Xi, He Jiaxing, Li Zhaoxi, Fei Chunlong, Xu Jing, Su Juan, Chen Zeyu, Zhao Shuang, Chen Xiang
Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China.
Department of Mechanical and Vehicle Engineering, Changsha University of Science and Technology, Changsha, 410114, China.
Adv Sci (Weinh). 2025 Aug;12(31):e17226. doi: 10.1002/advs.202417226. Epub 2025 Jun 4.
As one of the most advanced in vitro drug screening platforms, tumor organoids require accurate pharmacosensitivity assessments to ensure reliable results. However, achieving accurate volume assessment of these 3D organoid models remains a challenge in traditional drug screening processes. Here, a label-free organoids photoacoustic imaging (LFOPI) system is introduced for high-resolution 3D imaging of tumor organoids. The capabilities of the LFOPI system are evaluated by monitoring structural transformations in melanoma organoids. The LFOPI system is further employed for volumetric drug screening of melanoma tumor organoids. Drug screening with cisplatin and temozolomide reveal that LFOPI-based organoid volume data correlates more strongly with viability trends (0.8627 and 0.9069) than traditional diameter-based methods (0.8190 and 0.7849). Additionally, immunotherapy drug screening demonstrates the capability of the system to precisely assess the 3D volumes of irregularly shaped organoids. This LFOPI system provides a promising method for label-free drug screening and personalized treatment.
作为最先进的体外药物筛选平台之一,肿瘤类器官需要准确的药物敏感性评估以确保结果可靠。然而,在传统药物筛选过程中,对这些三维类器官模型进行准确的体积评估仍然是一项挑战。在此,引入了一种无标记类器官光声成像(LFOPI)系统用于肿瘤类器官的高分辨率三维成像。通过监测黑色素瘤类器官的结构转变来评估LFOPI系统的性能。LFOPI系统进一步用于黑色素瘤肿瘤类器官的体积药物筛选。用顺铂和替莫唑胺进行的药物筛选表明,基于LFOPI的类器官体积数据与活力趋势的相关性(分别为0.8627和0.9069)比传统的基于直径的方法(分别为0.8190和0.7849)更强。此外,免疫治疗药物筛选证明了该系统精确评估不规则形状类器官三维体积的能力。这种LFOPI系统为无标记药物筛选和个性化治疗提供了一种有前景的方法。