恶性胸腔积液
恶性细胞
荧光
病理
染色
胸腔积液
渗出
医学
癌症
化学
腹水
肺癌
胃肠病学
内科学
外科
物理
量子力学
作者
Ying Tian,Jing Sun,Huaijiang Yan,Zhaogang Teng,Leyong Zeng,Ying Liu,Yanjun Li,Jiandong Wang,Shouju Wang,Guangming Lu
出处
期刊:Analyst
[Royal Society of Chemistry]
日期:2015-01-01
卷期号:140 (3): 750-755
被引量:9
摘要
Detection of malignant cells from malignant effusion is crucial to establish or adjust therapies of patients with cancer. The conventional qualitative detection in malignant pleuroperitoneal effusion is cytological analysis, which is time-consuming and complicated. Therefore, a faster and more convenient detection strategy is urgently needed. In this study, we report a rapid method to detect malignant cells from malignant pleuroperitoneal effusion (hydrothorax and ascites) of patients using IR-808, a tumor-targeted near-infrared (NIR) fluorescent heptamethine dye (tNRI dye), which exhibited superior labeling efficacy without specific conjugation to biomarkers. The targeted imaging performance toward malignant cells using IR-808 was confirmed by comparing with normal cells, and the fluorescence stability assay of IR-808 in malignant effusion was performed from 1 h to 48 h. In order to save time and dose, the incubation time and concentration were optimized to 10 min and 5 μM, which were used to detect malignant cells from 28 clinical samples of malignant pleuroperitoneal effusion. The results revealed that IR-808 could be internalized selectively by malignant cells of samples, and these malignant cells could be easily distinguished from normal cells under a fluorescence microscope. The positive rates between cytological analysis and the IR-808 staining method were 86% (24/28) and 79% (22/28), respectively. An excellent concordance level (Kappa = 0.752, P < 0.001) was observed between the two methods. Our results indicated that IR-808, a new NIR fluorescent heptamethine dye with unique optical imaging and tumor targeting properties, could provide a fast and simple way to detect a broad spectrum of malignant cells from malignant pleuroperitoneal effusion in patients.
科研通智能强力驱动
Strongly Powered by AbleSci AI