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Spatial heterogeneity of KRAS mutations in colorectal cancers in northern France

BACKGROUND: Somatic mutations in the KRAS gene are the most common oncogenic mutations found in human cancers. However, no clinical features have been linked to KRAS mutations in colorectal cancer [CRC]. PURPOSE: In this study, we attempted to identify the potential geographical population clusters...

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Detalles Bibliográficos
Autores principales: Turpin, Anthony, Genin, Michael, Hebbar, Mohamed, Occelli, Florent, Lanier, Caroline, Vasseur, Francis, Descarpentries, Clotilde, Pannier, Diane, Ploquin, Anne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6750880/
https://www.ncbi.nlm.nih.gov/pubmed/31571990
http://dx.doi.org/10.2147/CMAR.S211119
Descripción
Sumario:BACKGROUND: Somatic mutations in the KRAS gene are the most common oncogenic mutations found in human cancers. However, no clinical features have been linked to KRAS mutations in colorectal cancer [CRC]. PURPOSE: In this study, we attempted to identify the potential geographical population clusters of KRAS mutations in CRC patients in northern France. PATIENTS AND METHODS: All patients with CRC who were identified to have KRAS mutations between 2008 and 2014 at the Regional Molecular Biology Platform at Lille University Hospital were included. 2,486 patients underwent a KRAS status available, with 40.9% of CRC with KRAS mutations in northern France. We retrospectively collected demographic and geographic data from these patients. The proportions of KRAS mutation were smoothed to take into account the variability related to low frequencies and spatial autocorrelation. Geographical clusters were searched using spatial scan statistical models. RESULTS: A mutation at KRAS codon 12 or 13 was found in 1,018 patients [40.9%]. We report 5 clusters of over-incidence but only one elongated cluster that was statistically significant [Cluster 1; proportion of KRAS mutation among CRC: 0.4570; RR=1.29; P=0.0314]. We made an ecological study which did not highlight a significant association between KRAS mutations and the distance to the Closest Waste Incineration Plant, and between KRAS mutations and The French Ecological Deprivation Index but few socio-economic and environmental data were available. CONCLUSION: There was a spatial heterogeneity and a greater frequency of KRAS mutations in some areas close to major highways and big cities in northern France. These data demand deeper epidemiological investigations to identify environmental factors such as air pollution as key factors in the occurrence of KRAS mutations.