Department of Genetics, Department of Medicine, Division of Hematology/Oncology, Department of Surgery, Department of Pathology and Laboratory Medicine, and Department of Pharmacology, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.
Proc Natl Acad Sci U S A. 2014 Feb 25;111(8):3110-5. doi: 10.1073/pnas.1318376111. Epub 2014 Feb 11.
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, termed "luminal" and "basal-like," which 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. A gene set predictor, bladder cancer analysis of subtypes by gene expression (BASE47) was defined by prediction analysis of microarrays (PAM) and accurately classifies the subtypes. Our data demonstrate that there are at least two molecularly and clinically distinct subtypes of high-grade bladder cancer and validate the BASE47 as a subtype predictor. Future studies exploring the predictive value of the BASE47 subtypes for standard of care bladder cancer therapies, as well as novel subtype-specific therapies, will be of interest.
我们试图确定高级别膀胱癌是否存在内在的分子亚型。对高级别、肌肉浸润性膀胱癌元数据集的基因表达数据进行共识聚类,鉴定出高级别膀胱癌的两个内在的、分子亚型,称为“管腔型”和“基底样型”,它们具有不同阶段尿路上皮分化的特征,反映了乳腺癌的管腔和基底样分子亚型,并且在预后方面存在有临床意义的差异。通过微阵列的预测分析(PAM)定义了膀胱癌亚型的基因表达分析(BASE47)的基因集预测器,能够准确地对亚型进行分类。我们的数据表明,高级别膀胱癌至少存在两种分子上和临床上明显不同的亚型,并验证了 BASE47 作为亚型预测器的有效性。未来的研究将探索 BASE47 亚型对标准护理膀胱癌治疗的预测价值,以及新型的亚型特异性治疗,这将是很有意义的。