Gene expression analysis of matched ovarian primary tumors and peritoneal metastasis.
Abstract
BACKGROUND
Ovarian cancer is the most deadly gynecological cancer due to late diagnosis at advanced stage with major peritoneal involvement.
To date most research has focused on primary tumor. However the prognosis is directly related to residual disease at the end
of the treatment. Therefore it is mandatory to focus and study the biology of metastatic disease that is most frequently localized
to the peritoneal cavity in ovarian cancer.
METHODS
We used high-density gene expression arrays to investigate gene expression changes between matched primary and metastatic
(peritoneal) lesions.
RESULTS
Here we show that gene expression profiles in peritoneal metastasis are significantly different than their matched primary
tumor and these changes are affected by underlying copy number variation differences among other causes. We show that differentially
expressed genes are enriched in specific pathways including JAK/STAT pathway, cytokine signaling and other immune related
pathways. We show that underlying copy number variations significantly affect gene expression. Indeed patients with important
differences in copy number variation displayed greater gene expression differences between their primary and matched metastatic
lesions.
CONCLUSIONS
Our analysis shows a very specific targeting at both the genomic and transcriptomic level to upregulate certain pathways in
the peritoneal metastasis of ovarian cancer. Moreover, while primary tumors use certain pathways we identify distinct differences
with metastatic lesions. The variation between primary and metastatic lesions should be considered in personalized treatment
of ovarian cancer.
Links
Authors
Malek JA, Martinez A, Mery E, Ferron G, Huang R, Raynaud C, Jouve E, Thiery JP, Querleu D, Rafii A
Institution
Genomics Core, Weill Cornell Medical College in Qatar, Education city, Qatar Foundation, Doha, Qatar PO 241 44.
Source
Journal of translational medicine 10: 2012 pg 121MeSH
FemaleGene Expression Profiling
Humans
Ovarian Neoplasms
Peritoneal Neoplasms
Prognosis
Pub Type(s)
Journal ArticleResearch Support, Non-U.S. Gov't
Language
eng
PubMed ID
22687175
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