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
shuangshuang完成签到,获得积分10
1秒前
1秒前
yiwangwuqian完成签到,获得积分10
1秒前
芈钥完成签到 ,获得积分10
2秒前
annoraz完成签到,获得积分10
2秒前
maxzplug完成签到,获得积分10
3秒前
香菜完成签到,获得积分10
4秒前
暖暖完成签到 ,获得积分10
4秒前
Hoshiiii完成签到,获得积分10
4秒前
堀江真夏完成签到 ,获得积分0
5秒前
呆呆完成签到 ,获得积分10
5秒前
㊣㊣完成签到,获得积分10
5秒前
SciGPT应助柒拾壹采纳,获得10
5秒前
务实天空完成签到,获得积分10
6秒前
王哈哈发布了新的文献求助10
7秒前
7秒前
竹马子完成签到,获得积分10
8秒前
nine2652完成签到 ,获得积分10
8秒前
山野完成签到,获得积分10
8秒前
重要语薇发布了新的文献求助10
8秒前
啦啦啦啦啦完成签到,获得积分10
8秒前
少艾完成签到 ,获得积分10
9秒前
XM完成签到,获得积分10
9秒前
9秒前
9秒前
bing完成签到,获得积分10
9秒前
朴实的手套完成签到,获得积分10
10秒前
王小西完成签到,获得积分10
10秒前
科研通AI6.1应助deng采纳,获得10
10秒前
喵喵描白完成签到,获得积分10
10秒前
Jennier完成签到,获得积分20
11秒前
ding应助永远的得胜同志采纳,获得10
11秒前
大力的银耳汤完成签到,获得积分10
11秒前
What205完成签到 ,获得积分10
11秒前
Jadedew完成签到,获得积分10
11秒前
潇湘夜雨完成签到,获得积分10
12秒前
春锅锅完成签到,获得积分10
12秒前
科研狗完成签到,获得积分0
12秒前
13秒前
无心的砖家完成签到,获得积分10
13秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6474167
求助须知:如何正确求助?哪些是违规求助? 8277033
关于积分的说明 17648013
捐赠科研通 5554724
什么是DOI,文献DOI怎么找? 2909886
邀请新用户注册赠送积分活动 1886660
关于科研通互助平台的介绍 1739205