Gene Expression Profile of the Clinically Aggressive Micropapillary Variant of Bladder Cancer
Autor: | Shizhen Zhang, David J. McConkey, Woonyoung Choi, Weronika Wronowska, Vipulkumar Dadhania, Tadeusz Majewski, Maciej Sykulski, Enrique Fuentes-Mattei, Ashish M. Kamat, Colin P.N. Dinney, Li Zhang, Arlene O. Siefker-Radtke, Yan Wang, Keith A. Baggerly, John N. Weinstein, Bogdan Czerniak, Charles C. Guo, Jolanta Bondaruk, Anna Gambin |
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Rok vydání: | 2016 |
Předmět: |
0301 basic medicine
Pathology medicine.medical_specialty Bladder cancer Tissue microarray business.industry Proportional hazards model Urology medicine.disease Metastasis Transcriptome 03 medical and health sciences 030104 developmental biology 0302 clinical medicine 030220 oncology & carcinogenesis microRNA Cancer research medicine Immunohistochemistry business Survival rate |
Zdroj: | European Urology. 70:611-620 |
ISSN: | 0302-2838 |
DOI: | 10.1016/j.eururo.2016.02.056 |
Popis: | Background Progression of conventional urothelial carcinoma of the bladder to a tumor with unique microscopic features referred to as micropapillary carcinoma is coupled with aggressive clinical behavior signified by a high propensity for metastasis to regional lymph nodes and distant organs resulting in shorter survival. Objective To analyze the expression profile of micropapillary cancer and define its molecular features relevant to clinical behavior. Design, setting, and participants We retrospectively identified 43 patients with micropapillary bladder cancers and a reference set of 89 patients with conventional urothelial carcinomas and performed whole-genome expression messenger RNA profiling. Outcome measurements and statistical analysis The tumors were segregated into distinct groups according to hierarchical clustering analyses. They were also classified according to luminal, p53-like, and basal categories using a previously described algorithm. We applied Ingenuity Pathway Analysis software (Qiagen, Redwood City, CA, USA) and gene set enrichment analysis for pathway analyses. Cox proportional hazards models and Kaplan-Meier methods were used to assess the relationship between survival and molecular subtypes. The expression profile of micropapillary cancer was validated for selected markers by immunohistochemistry on parallel tissue microarrays. Results and limitations We show that the striking features of micropapillary cancer are downregulation of miR-296 and activation of chromatin-remodeling complex RUVBL1. In contrast to conventional urothelial carcinomas that based on their expression can be equally divided into luminal and basal subtypes, micropapillary cancer is almost exclusively luminal, displaying enrichment of active peroxisome proliferator-activated receptor γ and suppression of p63 target genes. As with conventional luminal urothelial carcinomas, a subset of micropapillary cancers exhibit activation of wild-type p53 downstream genes and represent the most aggressive molecular subtype of the disease with the shortest survival. The involvement of miR-296 and RUVBL1 in the development of micropapillary bladder cancer was identified by the analyses of correlative associations of genome expression profiles and requires mechanistic validation. Conclusions Micropapillary cancer evolves through the luminal pathway and is characterized by the activation of miR-296 and RUVBL1 target genes. Patient summary Our observations have important implications for prognosis and for possible future development of more effective therapies for micropapillary bladder cancer. |
Databáze: | OpenAIRE |
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