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Discovery and characterization of molecular subtypes in high-grade urothelial carcinoma.

机译:发现和表征高级尿路上皮癌的分子亚型。

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摘要

Bladder Cancer is the 4th most commonly diagnosed cancer in men and the 8th most deadly. Invasive bladder cancer (≥T2) has a 5 year survival rate of ~50% with the number decreasing to 15% for non organ confined disease. Multiple groups have performed molecular characterization of bladder tumors in an effort to identify bladder cancer subtypes. These groups have been able to effectively differentiate non-muscle invasive disease (low-grade) from muscle invasive (high-grade); since pathologists can reliably identify LG and HG tumors, molecular signatures of these two groups are not clinically useful. We sought to define whether there are intrinsic molecular subtypes of high-grade bladder cancer. Consensus Clustering performed on gene expression data from a meta-dataset of high-grade, muscle invasive bladder tumors identified two intrinsic, molecular subsets of high-grade bladder cancer: "luminal" and "basal-like" that have characteristics of different stages of urothelial differentiation, reflect the luminal and basal-like molecular subtypes of breast cancer, and have clinically meaningful differences in outcome. Prediction analysis of microarrays (PAM) defined a gene set predictor: Bladder cancer Analysis of Subtypes by Expression (BASE47) that accurately classifies the subtypes. Our data demonstrate that there are at least two molecularly and clinically distinct subtypes of high-grade bladder cancer. As an appreciation of subtype heterogeneity has revolutionized the care of breast cancer, these results also suggest stratification for therapy is indicated in bladder cancer as well.
机译:膀胱癌是男性中最常被诊断的第四大癌症,也是最致命的第八大癌症。浸润性膀胱癌(≥T2)的5年生存率约为50%,对于非器官受限疾病,该数字降低到15%。为了鉴定膀胱癌的亚型,多个研究小组对膀胱肿瘤进行了分子表征。这些群体已经能够有效地区分非肌肉浸润性疾病(低度)和肌肉浸润性(高度)。由于病理学家可以可靠地鉴定LG和HG肿瘤,因此这两组的分子标记在临床上无用。我们试图确定是否存在内在的分子亚型的高级膀胱癌。对来自高级肌肉浸润性膀胱肿瘤的元数据集的基因表达数据进行的共识聚类,确定了高级膀胱癌的两个内在分子子集:“管腔”和“基底样”,具有不同阶段的特征尿路上皮的分化,反映了乳腺腔和基底样分子亚型,并且在结局上具有临床上有意义的差异。微阵列的预测分析(PAM)定义了一个基因集预测因子:膀胱癌按表达对亚型的分析(BASE47),可对亚型进行准确分类。我们的数据表明,至少有两种分子和临床上不同的亚型膀胱癌。由于对亚型异质性的认识已经彻底改变了乳腺癌的治疗方法,这些结果也表明在膀胱癌中也表明了治疗分层。

著录项

  • 作者

    Damrauer, Jeffrey Stuart.;

  • 作者单位

    The University of North Carolina at Chapel Hill.;

  • 授予单位 The University of North Carolina at Chapel Hill.;
  • 学科 Biology Genetics.;Health Sciences Medicine and Surgery.;Biology Molecular.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 148 p.
  • 总页数 148
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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