Circulating tumor cell detection in hepatocellular carcinoma based on karyoplasmic ratios using imaging flow cytometry

肝细胞癌 循环肿瘤细胞 流式细胞术 肝癌 接收机工作特性 癌细胞 外周血单个核细胞 癌症 医学 癌症研究 病理 染色 细胞仪 内科学 化学 免疫学 转移 生物化学 体外
作者
Zixin Liu,Wei‐Xing Guo,Dandan Zhang,Yanan Pang,Jie Shi,Siqin Wan,Kai Cheng,Jiaqi Wang,Shuqun Cheng
出处
期刊:Scientific Reports [Springer Nature]
卷期号:6 (1) 被引量:32
标识
DOI:10.1038/srep39808
摘要

Abstract Circulating tumor cells (CTCs) originate from tumor tissues and are associated with cancer prognosis. However, existing technologies for CTC detection are limited owing to a lack of specific or accurate biomarkers. Here, we developed a new method for CTC detection based on the karyoplasmic ratio, without biomarkers. Consecutive patients with liver cancer or non-cancer liver diseases were recruited. CTCs in blood samples were analyzed by imaging flow cytometry based on the karyoplasmic ratio as well as EpCAM and CD45. Microvascular invasion (MVI), tumor recurrence, and survival were recorded for all patients. A total of 56.2 ± 23.8/100,000 cells with high karyoplasmic ratios (HKR cells) were detected in cancer patients, which was higher than the number of HKR cells in the non-cancer group (7.6 ± 2.2/100,000). There was also a difference in HKR cells between liver cancer patients with and without MVI. Based on a receiver operating characteristic curve analysis, the threshold was 21.8 HKR cells per 100,000 peripheral blood mononuclear cells, and the area under the curve was higher than those of traditional methods (e.g., CD45 and EpCAM staining). These results indicate that the new CTC detection method was more sensitive and reliable than existing methods. Accordingly, it may improve clinical CTC detection.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Lucas应助科研通管家采纳,获得10
刚刚
彭于晏应助科研通管家采纳,获得10
刚刚
英俊的铭应助科研通管家采纳,获得10
刚刚
CipherSage应助科研通管家采纳,获得10
刚刚
Akim应助科研通管家采纳,获得30
刚刚
wanci应助科研通管家采纳,获得10
刚刚
刚刚
刚刚
隐形曼青应助科研通管家采纳,获得10
刚刚
刚刚
刚刚
慕青应助科研通管家采纳,获得10
刚刚
充电宝应助科研通管家采纳,获得10
刚刚
Twonej应助科研通管家采纳,获得30
刚刚
无花果应助科研通管家采纳,获得10
刚刚
刚刚
1秒前
1秒前
老顽童完成签到 ,获得积分10
1秒前
1秒前
管弦乐完成签到,获得积分10
1秒前
LL发布了新的文献求助10
1秒前
3秒前
xiaotu发布了新的文献求助10
3秒前
5秒前
璃茉完成签到,获得积分10
5秒前
Aesias发布了新的文献求助10
5秒前
搜集达人应助末山了然采纳,获得10
6秒前
lgh完成签到 ,获得积分10
7秒前
www完成签到,获得积分10
8秒前
8秒前
ZY完成签到,获得积分10
9秒前
SciGPT应助江中采纳,获得10
9秒前
落寞金鑫发布了新的文献求助10
10秒前
Cyuan发布了新的文献求助10
10秒前
10秒前
正直冰露发布了新的文献求助10
10秒前
无尘泪完成签到,获得积分10
12秒前
xiaotu完成签到,获得积分10
12秒前
李颜龙发布了新的文献求助30
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Short-Wavelength Infrared Windows for Biomedical Applications 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6060919
求助须知:如何正确求助?哪些是违规求助? 7893249
关于积分的说明 16305086
捐赠科研通 5204876
什么是DOI,文献DOI怎么找? 2784583
邀请新用户注册赠送积分活动 1767133
关于科研通互助平台的介绍 1647351