کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2042206 1073189 2014 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Independent Component Analysis Uncovers the Landscape of the Bladder Tumor Transcriptome and Reveals Insights into Luminal and Basal Subtypes
ترجمه فارسی عنوان
تجزیه و تحلیل کامپوننت مستقل چشم انداز تونر ترومری مثانه را باز می کند و بینش ها را به زیراته های لومینال و بازال نشان می دهد
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم کشاورزی و بیولوژیک (عمومی)
چکیده انگلیسی


• ICA analysis uncovers the various factors influencing transcriptomic data
• ICA of multiple data sets reveals cancer-shared and cancer-type-specific signals
• The components identified by ICA allow characterization of bladder tumor subtypes
• PPARG is a protumorigenic gene associated with differentiation in bladder cancer

SummaryExtracting relevant information from large-scale data offers unprecedented opportunities in cancerology. We applied independent component analysis (ICA) to bladder cancer transcriptome data sets and interpreted the components using gene enrichment analysis and tumor-associated molecular, clinicopathological, and processing information. We identified components associated with biological processes of tumor cells or the tumor microenvironment, and other components revealed technical biases. Applying ICA to nine cancer types identified cancer-shared and bladder-cancer-specific components. We characterized the luminal and basal-like subtypes of muscle-invasive bladder cancers according to the components identified. The study of the urothelial differentiation component, specific to the luminal subtypes, showed that a molecular urothelial differentiation program was maintained even in those luminal tumors that had lost morphological differentiation. Study of the genomic alterations associated with this component coupled with functional studies revealed a protumorigenic role for PPARG in luminal tumors. Our results support the inclusion of ICA in the exploitation of multiscale data sets.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: - Volume 9, Issue 4, 20 November 2014, Pages 1235–1245
نویسندگان
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