Detection of bladder cancer using a novel nuclear matrix protein, BLCA-4.

作者
Badrinath R. Konety,Thu Suong Thi Nguyen,Rajiv Dhir,Roger Day,Michael J. Becich,Walter M. Stadler,Robert H. Getzenberg
出处
期刊:PubMed [National Institutes of Health]
卷期号:6 (7): 2618-25 被引量:124
链接
标识
摘要

We have identified previously six nuclear matrix proteins (NMPs) that are bladder cancer specific. In this study, we analyzed the expression of one of these proteins, BLCA-4, in bladder tumors and normal bladder tissue. We also examined the appearance of BLCA-4 in the urine as a biomarker for bladder cancer. BLCA-4 was isolated from nuclear matrix preparations of bladder tumors, and its peptide sequence was determined. The antibodies generated against the resulting BLCA-4 peptides were then used to detect its presence in immunoblots and in urine samples by immunoassay. We analyzed tissue samples of bladder tumor and normal donor bladders and urine obtained from 51 normal individuals and 54 patients with pathologically confirmed bladder cancer. The BLCA-4 peptide sequences do not resemble any known human protein sequences. On immunoblot analysis, BLCA-4 expression was detectable in tumor and normal tissues from patients with bladder cancer but not in any of the normal bladder tissue obtained from organ donors. Using a prospectively determined cutoff level of 13 A (absorbance) units/microg protein, all 51 normal individuals tested were negative for BLCA-4 expression, whereas 53 of 55 samples from patients with bladder cancer were positive. These results suggest that BLCA-4 is present throughout the bladder in both the tumor and morphologically normal areas in bladder cancer patients. BLCA-4 is a very sensitive (96.4%) and specific (100%) marker for bladder cancer. BLCA-4 is a bladder cancer-specific marker that can be detected using a urine-based assay and can be used in the diagnosis of bladder cancer.

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
zzz完成签到 ,获得积分10
1秒前
cg666完成签到 ,获得积分10
1秒前
2秒前
hxhdh发布了新的文献求助10
4秒前
汉堡包的应助被宗友绿采纳,获得10
5秒前
7秒前
Mier完成签到 ,获得积分10
7秒前
8秒前
zhaomr完成签到,获得积分10
8秒前
9秒前
Vincent发布了新的文献求助10
10秒前
qiangzhang发布了新的文献求助10
11秒前
火焰向上完成签到,获得积分10
13秒前
卢乃旋发布了新的文献求助10
14秒前
14秒前
15秒前
18秒前
完美世界的应助被李欣采纳,获得10
21秒前
积极问晴发布了新的文献求助10
22秒前
匡林威完成签到 ,获得积分10
23秒前
24秒前
25秒前
华仔的应助被hxhdh采纳,获得10
26秒前
赘婿的应助被桶桶要好好学习采纳,获得10
26秒前
27秒前
孙元的应助被王小帅采纳,获得10
27秒前
今后的应助被木子采纳,获得10
27秒前
木子完成签到 ,获得积分10
31秒前
32秒前
32秒前
33秒前
五个跳舞的人完成签到,获得积分10
34秒前
KKK完成签到 ,获得积分10
35秒前
37秒前
neuroman发布了新的文献求助10
37秒前
爱听歌的含莲完成签到,获得积分10
37秒前
38秒前
酷波er的应助被卢乃旋采纳,获得10
39秒前
cc21完成签到,获得积分10
39秒前
宗友绿发布了新的文献求助10
40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
Rosenblum, Global Change Biology 800
自動車の空力技術 800
Organizational Behavior 510
Management and the Arts 510
Issues in Task-Based Language Teaching 500
Wafer Surface Defect 420
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7784662
求助须知:如何正确求助?哪些是违规求助? 9323973
关于积分的说明 20396272
捐赠科研通 7373384
什么是DOI,文献DOI怎么找? 3321113
关于科研通互助平台的介绍 2469029
邀请新用户注册赠送积分活动 2337386