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Detalle de: PDGFRα/β and VEGFR2 polymorphisms in colorectal cancer: incidence and implications in clinical outcome

Title PDGFRα/β and VEGFR2 polymorphisms in colorectal cancer: incidence and implications in clinical outcome
Abstract

Background Angiogenesis plays an essential role in tumor growth and metastasis, and is a major target in cancer therapy. VEGFR and PDGFR are key players involved in this process. The purpose of this study was to assess the incidence of genetic variants in these receptors and its potential clinical implications in colorectal cancer (CRC). Methods VEGFR2, PDGFRα and PDGFRβ mutations were evaluated by sequencing their tyrosine kinase domains in 8 CRC cell lines and in 92 samples of patients with CRC. Correlations with clinicopathological features and survival were analyzed. Results Four SNPs were identified, three in PDGFRα [exon 12 (A12): c.1701A>G; exon 13 (A13): c.1809G>A; and exon 17 (A17): c.2439+58C>A] and one in PDGFRβ [exon 19 (B19): c.2601A>G]. SNP B19, identified in 58% of tumor samples and in 4 cell lines (LS174T, LS180, SW48, COLO205), was associated with higher PDGFR and pPDGFR protein levels. Consistent with this observation, 5-year survival was greater for patients with PDGFR B19 wild type tumors (AA) than for those harboring the G-allele genotype (GA or GG) (51% vs 17%; p=0.073). Multivariate analysis confirmed SNP B19 (p=0.029) was a significant prognostic factor for survival, independent of age (p=0.060) or TNM stage (p<0.001). Conclusions PDGFRβ exon 19 c.2601A>G SNP is commonly encountered in CRC patients and is associated with increased pathway activation and poorer survival. Implications regarding its potential influence in response to PDGFR-targeted agents remain to be elucidated.

Apa Reference Estevez-Garcia, P., Castaño, A., Martin, A.C., Lopez-Rios, F., Iglesias, J., Muñoz-Galván, S., Lopez-Calderero, I., Molina-Pinelo, S., Pastor, M.D., Carnero, A., Paz-Ares, L. & Garcia-Carbonero, R. (2012). PDGFRα/β and VEGFR2 polymorphisms in colorectal cancer: incidence and implications in clinical outcome. BMC Cancer, 12(1). 10.1186/1471-2407-12-514
Doi 10.1186/1471-2407-12-514
Publication Date 12 Nov 2012
Publication Type Article
Researcher Sonia Molina Pinelo
Ontology Population genomics, Multivariate statistics, Clinical data
Research Groups
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