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Expression Profiling of Primary and Metastatic Ovarian Tumors Reveals Differences Indicative of Aggressive Disease

Overview of attention for article published in PLOS ONE, April 2014
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Title
Expression Profiling of Primary and Metastatic Ovarian Tumors Reveals Differences Indicative of Aggressive Disease
Published in
PLOS ONE, April 2014
DOI 10.1371/journal.pone.0094476
Pubmed ID
Authors

Alexander S. Brodsky, Andrew Fischer, Daniel H. Miller, Souriya Vang, Shannon MacLaughlan, Hsin-Ta Wu, Jovian Yu, Margaret Steinhoff, Colin Collins, Peter J. S. Smith, Benjamin J. Raphael, Laurent Brard

Abstract

The behavior and genetics of serous epithelial ovarian cancer (EOC) metastasis, the form of the disease lethal to patients, is poorly understood. The unique properties of metastases are critical to understand to improve treatments of the disease that remains in patients after debulking surgery. We sought to identify the genetic and phenotypic landscape of metastatic progression of EOC to understand how metastases compare to primary tumors. DNA copy number and mRNA expression differences between matched primary human tumors and omental metastases, collected at the same time during debulking surgery before chemotherapy, were measured using microarrays. qPCR and immunohistochemistry validated findings. Pathway analysis of mRNA expression revealed metastatic cancer cells are more proliferative and less apoptotic than primary tumors, perhaps explaining the aggressive nature of these lesions. Most cases had copy number aberrations (CNAs) that differed between primary and metastatic tumors, but we did not detect CNAs that are recurrent across cases. A six gene expression signature distinguishes primary from metastatic tumors and predicts overall survival in independent datasets. The genetic differences between primary and metastatic tumors, yet common expression changes, suggest that the major clone in metastases is not the same as in primary tumors, but the cancer cells adapt to the omentum similarly. Together, these data highlight how ovarian tumors develop into a distinct, more aggressive metastatic state that should be considered for therapy development.

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The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 2%
Belgium 1 2%
Unknown 48 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 20%
Student > Ph. D. Student 8 16%
Student > Doctoral Student 6 12%
Student > Master 5 10%
Student > Bachelor 4 8%
Other 9 18%
Unknown 8 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 28%
Medicine and Dentistry 11 22%
Biochemistry, Genetics and Molecular Biology 7 14%
Engineering 3 6%
Business, Management and Accounting 1 2%
Other 4 8%
Unknown 10 20%