Identification of a panel of complex autoantigens (LGALS3, PHB2, MUC1, and GK2) in combination with CA15-3 for the diagnosis of early-stage breast cancer

乳腺癌 阶段(地层学) 抗原 接收机工作特性 医学 MUC1号 自身抗体 免疫筛选 癌症 逻辑回归 肿瘤科 血清学 免疫学 cDNA文库 内科学 互补DNA 生物 抗体 基因 遗传学 古生物学
作者
Xiaoxiao Zuo,Ling Chen,Lifeng Liu,Zhe Zhang,Xiaojin Zhang,Qing Yu,Feng Lu,Xinhan Zhao,Tianjie Qin
出处
期刊:Tumor Biology [SAGE Publishing]
卷期号:37 (1): 1309-1317 被引量:18
标识
DOI:10.1007/s13277-015-3932-y
摘要

Currently, there is no effective single antigen and there are only a very limited number of complex antigens for the diagnosis of early-stage breast cancer (BC). In this study, we used serological analysis of recombinant cDNA expression libraries (SEREX) in combination with phage display technology to screen complex autoantigens from the sera of BC patients. The cDNA expression library was constructed using tissue samples of three patients with BC at as early as stage T1N0M0. The serum samples of ten patients, including the three patients who provided tissue samples, as well as five healthy human subjects as controls were used to screen the library. All seven autoantigens were identified from the library by four rounds of screening and matched the existing genes after a blast search using NCBI-BLAST. Then, the expression conditions of the autoantibodies of the seven autoantigens and anti-CA15-3 in the sera from 100 BC patients and 50 healthy donors were examined by gray values. The data were analyzed by the area under the receiver operating characteristic (ROC) curve and logistic regression diagnostic models. In the end, a panel of complex autoantigens consisting of B11 (LGALS3), B18 (PHB2), B119 (MUC1), B130 (GK2), and CA15-3, which had a sensitivity of 87 % and a specificity of 76 %, were identified. The area under the curve (AUC) of the complex antigens was 0.872, which is significantly greater than that of anti-CA15-3 alone (AUC = 0.634) for the diagnosis of BC. Thus, this panel of complex antigens provides a promising strategy for the diagnosis of early-stage BC.

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
1秒前
1秒前
就叫烨烨发布了新的文献求助10
1秒前
LXL完成签到,获得积分10
2秒前
2秒前
大个应助仁爱行云采纳,获得10
2秒前
香蕉幻莲发布了新的文献求助10
3秒前
3秒前
科研通AI6.3应助歪歪采纳,获得10
3秒前
yuyu完成签到,获得积分20
4秒前
Ava应助Dlan采纳,获得10
5秒前
美丽冰安发布了新的文献求助10
5秒前
魂惮完成签到,获得积分10
5秒前
6秒前
智文发布了新的文献求助10
6秒前
晴晴发布了新的文献求助10
6秒前
7秒前
7秒前
CodeCraft应助闪闪乘风采纳,获得10
8秒前
lpp发布了新的文献求助10
9秒前
慕青应助九九九采纳,获得10
9秒前
JamesPei应助单车采纳,获得10
10秒前
10秒前
123456yd完成签到,获得积分10
10秒前
西乡塘塘主完成签到,获得积分10
11秒前
11秒前
怕触电的电源完成签到 ,获得积分10
12秒前
张一森发布了新的文献求助10
12秒前
丘比特应助yuayua采纳,获得10
12秒前
晴晴完成签到,获得积分10
12秒前
慕青应助杨自强采纳,获得10
13秒前
14秒前
15秒前
16秒前
满君清完成签到,获得积分10
18秒前
科研通AI6.1应助Elaina采纳,获得10
18秒前
香蕉幻莲完成签到,获得积分10
19秒前
19秒前
海与猫发布了新的文献求助10
20秒前
日月星辰发布了新的文献求助10
21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
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
VASCULITIS(血管炎)Rheumatic Disease Clinics (Clinics Review Articles) —— 《风湿病临床》(临床综述文章) 1000
Feldspar inclusion dating of ceramics and burnt stones 1000
What is the Future of Psychotherapy in a Digital Age? 801
The Psychological Quest for Meaning 800
Digital and Social Media Marketing 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5977543
求助须知:如何正确求助?哪些是违规求助? 7338369
关于积分的说明 16010343
捐赠科研通 5116926
什么是DOI,文献DOI怎么找? 2746700
邀请新用户注册赠送积分活动 1715102
关于科研通互助平台的介绍 1623861