Department of Gynecology and Obstetrics, West China Second Hospital, Sichuan University, Chengdu 610041, China.
Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu 610041, China.
Molecules. 2021 Nov 30;26(23):7265. doi: 10.3390/molecules26237265.
Ovarian cancer has the highest mortality rate in the world. Therefore, it is urgent but still challenging to develop an efficient circulating tumor cell (CTC) detection method to sensitively detect ovarian cancer. To address such issues, herein, for the first time, we present a novel CTC detection method for ovarian cancer cells by designing sensitive and rapid graphene-based biosensors. This graphene-based sensor, consisting of a cell pool and two electrodes, can be prepared by a conventional chip fabrication process. It demonstrates high-sensitivity detection even for several ovarian cancer cells by comparing the electrical signal before and after adding cell solution. Moreover, the graphene-based biosensors can perform rapid detection with good repeatability. This suggests that this novel method is possible to use for the early detection of ovarian cancer with very low CTC cell concentration. This work provides a novel and quick strategy to detect ovarian cancer and further judge or predict the risk of the transfer of ovarian cancer.
卵巢癌的死亡率居全球之首。因此,开发一种有效的循环肿瘤细胞(CTC)检测方法来灵敏地检测卵巢癌迫在眉睫,但仍具有挑战性。为了解决这些问题,本文首次提出了一种基于石墨烯的新型卵巢癌细胞 CTC 检测方法。该基于石墨烯的传感器由细胞池和两个电极组成,可通过常规的芯片制造工艺制备。通过比较加入细胞溶液前后的电信号,该传感器甚至可以对几个卵巢癌细胞进行高灵敏度检测。此外,基于石墨烯的生物传感器可以快速检测并具有良好的重复性。这表明该新方法有可能用于极低 CTC 细胞浓度的卵巢癌的早期检测。这项工作为检测卵巢癌并进一步判断或预测卵巢癌转移的风险提供了一种新颖而快速的策略。