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Gene expression analysis of matched ovarian primary tumors and peritoneal metastasis

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...

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Autores principales: Malek, Joel A, Martinez, Alejandra, Mery, Eliane, Ferron, Gwenael, Huang, Ruby, Raynaud, Christophe, Jouve, Eva, Thiery, Jean-Paul, Querleu, Denis, Rafii, Arash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3477065/
https://www.ncbi.nlm.nih.gov/pubmed/22687175
http://dx.doi.org/10.1186/1479-5876-10-121
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author Malek, Joel A
Martinez, Alejandra
Mery, Eliane
Ferron, Gwenael
Huang, Ruby
Raynaud, Christophe
Jouve, Eva
Thiery, Jean-Paul
Querleu, Denis
Rafii, Arash
author_facet Malek, Joel A
Martinez, Alejandra
Mery, Eliane
Ferron, Gwenael
Huang, Ruby
Raynaud, Christophe
Jouve, Eva
Thiery, Jean-Paul
Querleu, Denis
Rafii, Arash
author_sort Malek, Joel A
collection PubMed
description 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 meatastatic disease that is most frequently localized to the peritoneal caivty 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.
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spelling pubmed-34770652012-10-20 Gene expression analysis of matched ovarian primary tumors and peritoneal metastasis Malek, Joel A Martinez, Alejandra Mery, Eliane Ferron, Gwenael Huang, Ruby Raynaud, Christophe Jouve, Eva Thiery, Jean-Paul Querleu, Denis Rafii, Arash J Transl Med Research 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 meatastatic disease that is most frequently localized to the peritoneal caivty 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. BioMed Central 2012-06-11 /pmc/articles/PMC3477065/ /pubmed/22687175 http://dx.doi.org/10.1186/1479-5876-10-121 Text en Copyright ©2012 Malek et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Malek, Joel A
Martinez, Alejandra
Mery, Eliane
Ferron, Gwenael
Huang, Ruby
Raynaud, Christophe
Jouve, Eva
Thiery, Jean-Paul
Querleu, Denis
Rafii, Arash
Gene expression analysis of matched ovarian primary tumors and peritoneal metastasis
title Gene expression analysis of matched ovarian primary tumors and peritoneal metastasis
title_full Gene expression analysis of matched ovarian primary tumors and peritoneal metastasis
title_fullStr Gene expression analysis of matched ovarian primary tumors and peritoneal metastasis
title_full_unstemmed Gene expression analysis of matched ovarian primary tumors and peritoneal metastasis
title_short Gene expression analysis of matched ovarian primary tumors and peritoneal metastasis
title_sort gene expression analysis of matched ovarian primary tumors and peritoneal metastasis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3477065/
https://www.ncbi.nlm.nih.gov/pubmed/22687175
http://dx.doi.org/10.1186/1479-5876-10-121
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