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
精明的绿凝完成签到,获得积分10
1秒前
hhhhhh完成签到,获得积分10
1秒前
1秒前
远方发布了新的文献求助10
1秒前
温梦花雨完成签到 ,获得积分10
1秒前
1秒前
年轻的我发布了新的文献求助10
2秒前
人类懂王完成签到,获得积分20
2秒前
3秒前
神唐1发布了新的文献求助10
3秒前
3秒前
彭于晏的应助被偷猪剑客采纳,获得10
3秒前
Yu发布了新的文献求助10
4秒前
cc完成签到,获得积分10
4秒前
Miriammmmm完成签到,获得积分10
5秒前
chengzi完成签到,获得积分10
5秒前
科研通AI6.2的应助被adasd采纳,获得20
6秒前
Dys完成签到,获得积分10
6秒前
张jy完成签到,获得积分20
6秒前
仁爱嫣发布了新的文献求助10
7秒前
搜集达人的应助被王科采纳,获得30
7秒前
Chaya发布了新的文献求助10
8秒前
pyg关闭了pyg的文献求助
8秒前
小皮皮完成签到,获得积分10
9秒前
领导范儿的应助被枍枫采纳,获得10
9秒前
dunphy发布了新的文献求助10
10秒前
11秒前
JamesPei的应助被年轻的我采纳,获得10
11秒前
赘婿的应助被悦耳静枫采纳,获得10
12秒前
英姑的应助被Yohn采纳,获得10
12秒前
12秒前
CarryLJR的应助被科研通管家采纳,获得10
13秒前
大模型的应助被科研通管家采纳,获得10
13秒前
LJC完成签到,获得积分10
13秒前
华仔的应助被科研通管家采纳,获得10
13秒前
大个的应助被科研通管家采纳,获得10
13秒前
CarryLJR的应助被科研通管家采纳,获得10
13秒前
顾矜的应助被科研通管家采纳,获得10
13秒前
完美世界的应助被科研通管家采纳,获得10
14秒前
14秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
The Dawn of Philology 520
Organizational Behavior 510
Production Logging: Theoretical and Interpretive Elements 400
A primer on partial least squares structural equation modeling (PLS-SEM) (4th ed.) 310
中国器官捐献和移植发展报告(2024) 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 有机化学 化学工程 内科学 物理 生物化学 复合材料 催化作用 细胞生物学 人工智能 心理学 无机化学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 7821832
求助须知:如何正确求助?哪些是违规求助? 9348750
关于积分的说明 20549358
捐赠科研通 7414536
什么是DOI,文献DOI怎么找? 3333103
关于科研通互助平台的介绍 2479068
邀请新用户注册赠送积分活动 2353487