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Journal ArticleDOI

Recurrent Fusion of TMPRSS2 and ETS Transcription Factor Genes in Prostate Cancer

TLDR
In this article, the authors used a bioinformatics approach to discover candidate oncogenic chromosomal aberrations on the basis of outlier gene expression and identified recurrent gene fusions of the 5' untranslated region of TMPRSS2 to ERG or ETV1.
Abstract
Recurrent chromosomal rearrangements have not been well characterized in common carcinomas. We used a bioinformatics approach to discover candidate oncogenic chromosomal aberrations on the basis of outlier gene expression. Two ETS transcription factors, ERG and ETV1, were identified as outliers in prostate cancer. We identified recurrent gene fusions of the 5' untranslated region of TMPRSS2 to ERG or ETV1 in prostate cancer tissues with outlier expression. By using fluorescence in situ hybridization, we demonstrated that 23 of 29 prostate cancer samples harbor rearrangements in ERG or ETV1. Cell line experiments suggest that the androgen-responsive promoter elements of TMPRSS2 mediate the overexpression of ETS family members in prostate cancer. These results have implications in the development of carcinomas and the molecular diagnosis and treatment of prostate cancer.

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Journal ArticleDOI

Anomaly detection: A survey

TL;DR: This survey tries to provide a structured and comprehensive overview of the research on anomaly detection by grouping existing techniques into different categories based on the underlying approach adopted by each technique.
Journal ArticleDOI

Cancer Genome Landscapes

TL;DR: This work has revealed the genomic landscapes of common forms of human cancer, which consists of a small number of “mountains” (genes altered in a high percentage of tumors) and a much larger number of "hills" (Genes altered infrequently).
Journal ArticleDOI

GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses.

TL;DR: GEPIA (Gene Expression Profiling Interactive Analysis) fills in the gap between cancer genomics big data and the delivery of integrated information to end users, thus helping unleash the value of the current data resources.
Journal ArticleDOI

The cancer genome atlas pan-cancer analysis project

John N. Weinstein, +379 more
- 01 Oct 2013 - 
TL;DR: The Pan-Cancer initiative compares the first 12 tumor types profiled by TCGA with a major opportunity to develop an integrated picture of commonalities, differences and emergent themes across tumor lineages.
References
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Journal ArticleDOI

Cancer statistics, 2005.

TL;DR: Cancer incidence and death rates are lower in other racial and ethnic groups than in Whites and African Americans for all sites combined and for the four major cancer sites, however, these groups generally have higher rates for stomach, liver, and cervical cancers than Whites.
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Letter: A new consistent chromosomal abnormality in chronic myelogenous leukaemia identified by quinacrine fluorescence and Giemsa staining.

TL;DR: An unsuspected abnormality in all cells from the nine patients with chronic myelogenous leukaemia has been detected with quinacrine fluorescence and various Giemsa staining techniques, suggesting that there may be a hitherto undetected translocation between the long arm of 22 and thelong arm of 9, producing the 9q+ chromosome.
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ONCOMINE: A Cancer Microarray Database and Integrated Data-Mining Platform

TL;DR: ONCOMINE is presented, a cancer microarray database and web-based data-mining platform aimed at facilitating discovery from genome-wide expression analyses and novel biomarkers and therapeutic targets are discovered.
Journal ArticleDOI

A census of human cancer genes

TL;DR: A 'census' of cancer genes is conducted that indicates that mutations in more than 1% of genes contribute to human cancer.
Journal ArticleDOI

Breast cancer classification and prognosis based on gene expression profiles from a population-based study

TL;DR: Gene expression patterns were found to be strongly associated with estrogen receptor (ER) status and moderately associated with grade, but not associated with menopausal status, nodal status, or tumor size, in an unselected group of 99 node-negative and node-positive breast cancer patients.
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