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
maomao发布了新的文献求助10
刚刚
起名废人完成签到,获得积分10
1秒前
min完成签到,获得积分10
1秒前
1秒前
2秒前
情怀应助wang采纳,获得10
2秒前
Nicy完成签到,获得积分20
3秒前
往前走发布了新的文献求助10
3秒前
庞天兴发布了新的文献求助10
3秒前
文艺雯完成签到,获得积分10
4秒前
光年完成签到,获得积分10
4秒前
PangShuting发布了新的文献求助10
4秒前
坚强的妖妖完成签到,获得积分20
4秒前
aaaFAFAFA发布了新的文献求助10
5秒前
dina完成签到,获得积分10
5秒前
洁净路灯完成签到,获得积分10
5秒前
5秒前
英俊的鱼完成签到,获得积分10
6秒前
阿媛呐完成签到,获得积分10
6秒前
雪流星完成签到 ,获得积分10
6秒前
wwantonlyy完成签到,获得积分10
6秒前
zxczxc完成签到,获得积分10
6秒前
ColdnessNot完成签到,获得积分20
6秒前
Hello应助伤脑筋的鱼采纳,获得10
7秒前
852应助yu采纳,获得10
7秒前
landi完成签到,获得积分10
8秒前
打打应助飞快的夜天采纳,获得10
8秒前
庞天兴完成签到,获得积分10
9秒前
SciGPT应助啊小布采纳,获得10
9秒前
xiaoleifatop应助沫哈采纳,获得10
10秒前
10秒前
传奇3应助9J1采纳,获得10
10秒前
lychee完成签到,获得积分10
10秒前
11秒前
qw完成签到,获得积分10
11秒前
dxx关注了科研通微信公众号
12秒前
Alex完成签到,获得积分0
12秒前
13秒前
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
Cronologia da história de Macau 5000
咳嗽・喀痰の診療ガイドライン第2版2025 800
Petrology and Plate Tectonics 800
Electrode Potentials 550
The globalisation of real estate: the politics and practice of foreign real estate investment 500
Handbook Of Synthetic Methodologies And Protocols Of Nanomaterials 500
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 7012171
求助须知:如何正确求助?哪些是违规求助? 8685791
关于积分的说明 18412096
捐赠科研通 6498584
什么是DOI,文献DOI怎么找? 3105415
关于科研通互助平台的介绍 2175224
邀请新用户注册赠送积分活动 2081585