Teng Xiaohui, Chen Hongbiao, Yang Han, Liu Hongli, Wang Yanlong, Su Zhiying, Tang Chu
Department of Gynecology, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, 361000, China.
School of Medicine, Chenggong Hospital, Xiamen University, Xiamen, 361000, China.
Naunyn Schmiedebergs Arch Pharmacol. 2025 Apr;398(4):3913-3923. doi: 10.1007/s00210-024-03508-7. Epub 2024 Oct 5.
There is an urgent need for improved methods for early screening and rapid diagnosis of cervical cancer since current conventional screening methods are plagued by operator subjectivity and unnecessary biopsies. IR808 is a tumour-targeting near-infrared (NIR) fluorescent dye that permits NIR imaging without the requirement of chemical conjugation. Our study investigates an IR808-based strategy for real-time monitoring of the cervix in vivo and rapid assessment of cervical specimens in vitro. We investigated the uptake of IR808 in vitro using normal cervical epithelial cells and three cervical cancer cell lines. The biodistribution of IR808 was examined in vivo via intravenous injection into tumour-bearing mice. Additionally, in vitro tissues were stained with IR808 to simulate the identification of cervical tumors in the clinical setting. Biocompatibility of the dye in both cellular and animal models was also examined. IR808 exhibited significant tumour-to-background ratios in fluorescence molecular imaging of in vivo tumors in nude mice. The application of NIR fluorescent dye IR808 in specific imaging screening, safe and non-invasive real-time monitoring, and rapid identification of cervical tumors from tissue specimens is expected to improve current screening methods for cervical cancer.
由于当前传统筛查方法存在操作者主观性和不必要活检的问题，因此迫切需要改进宫颈癌的早期筛查和快速诊断方法。IR808是一种靶向肿瘤的近红外（NIR）荧光染料，无需化学偶联即可进行近红外成像。我们的研究调查了一种基于IR808的策略，用于在体内实时监测子宫颈，并在体外快速评估宫颈标本。我们使用正常宫颈上皮细胞和三种宫颈癌细胞系在体外研究了IR808的摄取情况。通过静脉注射到荷瘤小鼠体内，在体内检查了IR808的生物分布。此外，用IR808对体外组织进行染色，以模拟临床环境中宫颈肿瘤的识别。还检查了该染料在细胞和动物模型中的生物相容性。在裸鼠体内肿瘤的荧光分子成像中，IR808表现出显著的肿瘤与背景比值。近红外荧光染料IR808在特定成像筛查、安全无创实时监测以及从组织标本中快速识别宫颈肿瘤方面的应用有望改进当前的宫颈癌筛查方法。
