Defining Molecular Profiles of Poor Outcome in Patients With Invasive Bladder Cancer Using Oligonucleotide Microarrays

膀胱癌 医学 尿路上皮 恶性肿瘤 淋巴结 肿瘤科 组织微阵列 阶段(地层学) 病理 癌症 免疫组织化学 内科学 膀胱 生物 古生物学
作者
Marta Sänchez‐Carbayo,Nicholas D. Socci,Juanjo Lozano,Fabien Saint,Carlos Cordon‐Cardo
出处
期刊:Journal of Clinical Oncology [Lippincott Williams & Wilkins]
卷期号:24 (5): 778-789 被引量:540
标识
DOI:10.1200/jco.2005.03.2375
摘要

Purpose Bladder cancer is a common malignancy characterized by a poor clinical outcome when tumors progress into invasive disease. We sought to define genetic signatures characteristic of aggressive clinical behavior in advanced bladder tumors. Methods Oligonucleotide arrays were utilized to analyze the transcript profiles of 105 bladder tumors: 33 superficial, 72 invasive lesions, and 52 normal urothelium. Hierarchical clustering and supervised algorithms were used to classify and stratify bladder tumors on the basis of stage, node metastases, and overall survival. Immunohistochemical analyses on bladder cancer tissue arrays (n = 294 cases) served to validate associations between marker expression, staging and outcome. Results Hierarchical clustering classified normal urothelium, superficial, and invasive tumors with 82.2% accuracy, and stratified bladder tumors on the basis of clinical outcome. Predictive algorithms rendered an 89%-correct rate for tumor staging using genes differentially expressed between superficial and invasive tumors. Accuracies of 82% and 90% were obtained for predicting overall survival when considering all patients with bladder cancer or only patients with invasive disease, respectively. A genetic profile consisting of 174 probes was identified in those patients with positive lymph nodes and poor survival. Two independent Global Test runs confirmed the robust association of this profile with lymph node metastases (P = 7.3 –13 ) and overall survival (P = 1.9 –14 ) simultaneously. Immunohistochemical analyses on tissue arrays sustained the significant association of synuclein with tumor staging and clinical outcome (P = .002). Conclusion Gene profiling provides a genomic-based classification scheme of diagnostic and prognostic utility for stratifying advanced bladder cancer. Identification of this poor outcome profile could assist in selecting patients who may benefit from more aggressive therapeutic intervention.

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
刚刚
刚刚
1秒前
852应助MQQ采纳,获得10
1秒前
1秒前
Torrance完成签到,获得积分10
2秒前
2秒前
2秒前
沉默的海秋完成签到,获得积分10
2秒前
ZZZZZZZh完成签到,获得积分10
3秒前
3秒前
情怀应助D.lon采纳,获得10
4秒前
4秒前
FashionBoy应助牛牛采纳,获得10
5秒前
Sharon关注了科研通微信公众号
6秒前
vc发布了新的文献求助10
6秒前
lx33101128发布了新的文献求助10
6秒前
6秒前
叶金名发布了新的文献求助10
7秒前
xiao金发布了新的文献求助10
7秒前
李爱国应助Sweet采纳,获得10
7秒前
科研通AI6.4应助哒哒哒采纳,获得10
8秒前
Torrance发布了新的文献求助10
9秒前
sagitar应助王君青见采纳,获得40
9秒前
9秒前
10秒前
12秒前
鸿来发布了新的文献求助10
12秒前
13秒前
14秒前
D.lon发布了新的文献求助10
15秒前
闪闪访波发布了新的文献求助10
16秒前
第六天魔王完成签到,获得积分10
16秒前
17秒前
科研通AI2S应助开心怀蕊采纳,获得10
17秒前
18秒前
叶金名完成签到,获得积分10
19秒前
开心芒果完成签到,获得积分10
19秒前
depravity发布了新的文献求助10
20秒前
Grace发布了新的文献求助10
20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
Overhead Power Line and Substation Foundations: State of Practice, Basics, Type Selection, Geotechnical Topics, and Specialty Analysis 2000
Overhead Power Line and Substation Foundations: Design Loads, Strength Factors, Threshold Criteria, and Design/Construction Methodologies 2000
The anomeric effect 1000
Principles of town planning: translating concepts to applications 1000
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Perfectionism in School: When Achievement Is not So Perfect 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7725951
求助须知:如何正确求助?哪些是违规求助? 9278372
关于积分的说明 20126270
捐赠科研通 7302494
什么是DOI,文献DOI怎么找? 3301979
关于科研通互助平台的介绍 2455177
邀请新用户注册赠送积分活动 2309832