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https://doi.org/10.18632/oncotarget.4991
Title: | SNP-SNP interaction analysis of NF-?B signaling pathway on breast cancer survival | Authors: | Jamshidi, M Fagerholm, R Khan, S |
Keywords: | B cell activating factor receptor immunoglobulin enhancer binding protein tumor necrosis factor receptor tumor necrosis factor receptor 1 tumor necrosis factor receptor 3 tumor necrosis factor receptor associated factor 2 tumor necrosis factor related apoptosis inducing ligand unclassified drug immunoglobulin enhancer binding protein tumor marker allele Article breast cancer cancer survival gene expression genetic variability genotype homozygosity human major clinical study prognosis proportional hazards model quantitative trait locus signal transduction single nucleotide polymorphism tumor gene breast tumor cancer grading cancer staging female genetics mortality pathology physiology signal transduction single nucleotide polymorphism survival rate tumor invasion Biomarkers, Tumor Breast Neoplasms Female Humans Neoplasm Grading Neoplasm Invasiveness Neoplasm Staging NF-kappa B Polymorphism, Single Nucleotide Prognosis Signal Transduction Survival Rate |
Issue Date: | 2015 | Publisher: | Impact Journals LLC | Citation: | Jamshidi, M, Fagerholm, R, Khan, S (2015). SNP-SNP interaction analysis of NF-?B signaling pathway on breast cancer survival. Oncotarget 6 (35) : 37979-37994. ScholarBank@NUS Repository. https://doi.org/10.18632/oncotarget.4991 | Rights: | Attribution 4.0 International | Abstract: | In breast cancer, constitutive activation of NF-?B has been reported, however, the impact of genetic variation of the pathway on patient prognosis has been little studied. Furthermore, a combination of genetic variants, rather than single polymorphisms, may affect disease prognosis. Here, in an extensive dataset (n = 30,431) from the Breast Cancer Association Consortium, we investigated the association of 917 SNPs in 75 genes in the NF-?B pathway with breast cancer prognosis. We explored SNP-SNP interactions on survival using the likelihood-ratio test comparing multivariate Cox' regression models of SNP pairs without and with an interaction term. We found two interacting pairs associating with prognosis: patients simultaneously homozygous for the rare alleles of rs5996080 and rs7973914 had worse survival (HRinteraction 6.98, 95% CI=3.3-14.4, P=1.42E-07), and patients carrying at least one rare allele for rs17243893 and rs57890595 had better survival (HRinteraction 0.51, 95% CI = 0.3-0.6, P = 2.19E-05). Based on in silico functional analyses and literature, we speculate that the rs5996080 and rs7973914 loci may affect the BAFFR and TNFR1/TNFR3 receptors and breast cancer survival, possibly by disturbing both the canonical and non-canonical NF-?B pathways or their dynamics, whereas, rs17243893-rs57890595 interaction on survival may be mediated through TRAF2-TRAIL-R4 interplay. These results warrant further validation and functional analyses. | Source Title: | Oncotarget | URI: | https://scholarbank.nus.edu.sg/handle/10635/180485 | ISSN: | 1949-2553 | DOI: | 10.18632/oncotarget.4991 | Rights: | Attribution 4.0 International |
Appears in Collections: | Elements Staff Publications |
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