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COX-2 inhibition potentiates antiangiogenic cancer therapy and prevents metastasis in preclinical models.


ABSTRACT: Antiangiogenic agents that block vascular endothelial growth factor (VEGF) signaling are important components of current cancer treatment modalities but are limited by alternative ill-defined angiogenesis mechanisms that allow persistent tumor vascularization in the face of continued VEGF pathway blockade. We identified prostaglandin E2 (PGE2) as a soluble tumor-derived angiogenic factor associated with VEGF-independent angiogenesis. PGE2 production in preclinical breast and colon cancer models was tightly controlled by cyclooxygenase-2 (COX-2) expression, and COX-2 inhibition augmented VEGF pathway blockade to suppress angiogenesis and tumor growth, prevent metastasis, and increase overall survival. These results demonstrate the importance of the COX-2/PGE2 pathway in mediating resistance to VEGF pathway blockade and could aid in the rapid development of more efficacious anticancer therapies.

SUBMITTER: Xu L 

PROVIDER: S-EPMC6309995 | biostudies-literature | 2014 Jun

REPOSITORIES: biostudies-literature

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COX-2 inhibition potentiates antiangiogenic cancer therapy and prevents metastasis in preclinical models.

Xu Lihong L   Stevens Janine J   Hilton Mary Beth MB   Seaman Steven S   Conrads Thomas P TP   Veenstra Timothy D TD   Logsdon Daniel D   Morris Holly H   Swing Deborah A DA   Patel Nimit L NL   Kalen Joseph J   Haines Diana C DC   Zudaire Enrique E   St Croix Brad B  

Science translational medicine 20140601 242


Antiangiogenic agents that block vascular endothelial growth factor (VEGF) signaling are important components of current cancer treatment modalities but are limited by alternative ill-defined angiogenesis mechanisms that allow persistent tumor vascularization in the face of continued VEGF pathway blockade. We identified prostaglandin E2 (PGE2) as a soluble tumor-derived angiogenic factor associated with VEGF-independent angiogenesis. PGE2 production in preclinical breast and colon cancer models  ...[more]

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