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
丘比特应助科研通管家采纳,获得10
刚刚
yyyjx应助科研通管家采纳,获得20
刚刚
制霸科研应助科研通管家采纳,获得10
刚刚
大模型应助科研通管家采纳,获得10
刚刚
麦子应助失眠的纸鹤采纳,获得10
1秒前
Savior应助科研通管家采纳,获得10
1秒前
qwei发布了新的文献求助10
1秒前
慕青应助科研通管家采纳,获得10
1秒前
JamesPei应助科研通管家采纳,获得10
1秒前
顾矜应助科研通管家采纳,获得10
1秒前
华仔应助科研通管家采纳,获得10
1秒前
1秒前
NexusExplorer应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
1秒前
1秒前
ding应助科研通管家采纳,获得10
1秒前
JamesPei应助科研通管家采纳,获得10
1秒前
英姑应助李东东采纳,获得10
1秒前
制霸科研应助科研通管家采纳,获得10
1秒前
1秒前
慕青应助科研通管家采纳,获得10
1秒前
赘婿应助科研通管家采纳,获得10
2秒前
Owen应助科研通管家采纳,获得10
2秒前
沈晨发布了新的文献求助10
2秒前
2秒前
Lucas应助科研通管家采纳,获得10
2秒前
Savior应助科研通管家采纳,获得10
2秒前
hhh发布了新的文献求助10
2秒前
科研通AI6.1应助大大大采纳,获得10
2秒前
lj发布了新的文献求助10
3秒前
3秒前
Ava应助zgn采纳,获得10
3秒前
feng发布了新的文献求助10
4秒前
Ava应助wyjistest采纳,获得10
4秒前
兜兜完成签到,获得积分10
4秒前
幸福白安完成签到,获得积分10
4秒前
KIKI完成签到,获得积分20
4秒前
4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
AnnualResearch andConsultation Report of Panorama survey and Investment strategy onChinaIndustry 1000
機能性マイクロ細孔・マイクロ流体デバイスを利用した放射性核種の 分離・溶解・凝集挙動に関する研究 1000
卤化钙钛矿人工突触的研究 1000
Engineering for calcareous sediments : proceedings of the International Conference on Calcareous Sediments, Perth 15-18 March 1988 / edited by R.J. Jewell, D.C. Andrews 1000
Continuing Syntax 1000
Harnessing Lymphocyte-Cytokine Networks to Disrupt Current Paradigms in Childhood Nephrotic Syndrome Management: A Systematic Evidence Synthesis 700
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 6258122
求助须知:如何正确求助?哪些是违规求助? 8080265
关于积分的说明 16881112
捐赠科研通 5330311
什么是DOI,文献DOI怎么找? 2837583
邀请新用户注册赠送积分活动 1814963
关于科研通互助平台的介绍 1669011