Title |
Identification of a novel gene fusion (BMX-ARHGAP) in gastric cardia adenocarcinoma
|
---|---|
Published in |
Diagnostic Pathology, December 2014
|
DOI | 10.1186/s13000-014-0218-4 |
Pubmed ID | |
Authors |
Xiaofeng Xu, Lifang Xu, Feng Gao, Jianjiang Wang, Jinsong Ye, Mingxian Zhou, Yunling Zhu, Lan Tao |
Abstract |
BackgroundGastric cardia adenocarcinoma (GCA) is one of the major causes of cancer related mortality worldwide. We aim to provide new understanding in the pathogenesis of GCA through investigations on gene expression alterations.MethodsWe preformed RNA-Seq for one pair of GCA and matched non-tumor tissues. Differentially expressed genes (DEGs) and fusion genes were acquired. PCR and gel analysis in additional 14 pairs of samples were performed to validate the chimeric transcripts.Results1590 up-regulated and 709 down-regulated genes were detected. Functional analysis revealed that these DEGs were significantly overrepresented in gene ontology items of cell cycle, tumor invasion and proliferation. Moreover, we firstly discovered 3 fusion genes in GCA, including BMX-ARHGAP, LRP5- LITAF and CBX3-C15orf57. The chimeric transcript BMX-ARHGAP was validated and recurrently occurred in 4/15 independent tumor tissues.ConclusionsOur results may provide new understanding of GCA and biomarkers for further therapeutic studies.Virtual SlidesThe virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/13000_2014_218. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 50% |
France | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 27% |
Student > Ph. D. Student | 3 | 27% |
Student > Bachelor | 2 | 18% |
Student > Doctoral Student | 1 | 9% |
Student > Master | 1 | 9% |
Other | 1 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 27% |
Medicine and Dentistry | 3 | 27% |
Agricultural and Biological Sciences | 2 | 18% |
Chemistry | 1 | 9% |
Materials Science | 1 | 9% |
Other | 0 | 0% |
Unknown | 1 | 9% |