Literature DB >> 19001328

Polymorphism in the microglial cell-mobilizing CX3CR1 gene is associated with survival in patients with glioblastoma.

Mathieu Rodero1, Yannick Marie, Mathieu Coudert, Emmeline Blondet, Karima Mokhtari, Audrey Rousseau, William Raoul, Catherine Carpentier, Florian Sennlaub, Philippe Deterre, Jean-Yves Delattre, Patrice Debré, Marc Sanson, Christophe Combadière.   

Abstract

PURPOSE: Few reliable prognostic molecular markers have been characterized for glioblastoma multiforme (GBM), considered the deadliest of human cancers. We hypothesized that genetic polymorphisms in chemokines and their receptors, which together control microglial cell mobilization, may influence survival.
METHODS: Distributions of one polymorphism of the chemokine CCL2 (-2518A<G) and two polymorphisms of the chemokine receptor CX3CR1 (termed V249I and T280M) were determined in a prospective series of 230 patients with GBM and correlated with overall survival. The replication study used data from a retrospective series of 106 additional patients with GBM. The extent of microglial cell infiltration was assessed by immunochemistry in 102 tumor specimens.
RESULTS: Survival analysis showed that the common CX3CR1-I249 allele was an independent favorable prognostic factor in both groups, prospective and retrospective, with hazard ratios of 0.619 (95% CI, 0.451 to 0.850; P = .0031) and 0.354 (95% CI, 0.217 to 0.580; P < .0001), respectively. This beneficial effect was observed only in patients who underwent surgery. Patients with only this CX3CR1-I249 allele had a substantially longer mean survival (23.5 v 14.1 months; P < .0001). The CCL2-2518G allele was not associated with patient survival. Immunohistochemical analysis of primary tumor biopsies showed that the common CX3CR1 variant allele was associated with reduced microglial cell infiltration.
CONCLUSION: The common CX3CR1 allelic variant was associated with increased GBM survival and with reduced tumor infiltration by microglia. The CX3CR1 polymorphism does not seem to be a risk factor for GBM but may prove useful in predicting survival.

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Year:  2008        PMID: 19001328     DOI: 10.1200/JCO.2008.17.2833

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  34 in total

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Authors:  Yanhong Liu; Sanjay Shete; Carol J Etzel; Michael Scheurer; George Alexiou; Georgina Armstrong; Spyros Tsavachidis; Fu-Wen Liang; Mark Gilbert; Ken Aldape; Terri Armstrong; Richard Houlston; Fay Hosking; Lindsay Robertson; Yuanyuan Xiao; John Wiencke; Margaret Wrensch; Ulrika Andersson; Beatrice S Melin; Melissa Bondy
Journal:  J Clin Oncol       Date:  2010-04-05       Impact factor: 44.544

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