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Articles by B Ding
Total Records ( 2 ) for B Ding
  S. L Park , D Bastani , B. Y Goldstein , S. C Chang , W Cozen , L Cai , C Cordon Cardo , B Ding , S Greenland , N He , S. K Hussain , Q Jiang , Y. C. A Lee , S Liu , M. L Lu , T. M Mack , J. T Mao , H Morgenstern , L. N Mu , S. S Oh , A Pantuck , J. C Papp , J Rao , V. E Reuter , D. P Tashkin , H Wang , N. C. Y You , S. Z Yu , J. K Zhao and Z. F. Zhang
 

Constituents of tobacco smoke can cause DNA double-strand breaks (DSBs), leading to tumorigenesis. The NBS1 gene product is a vital component in DSB detection and repair, thus genetic variations may influence cancer development. We examined the associations between NBS1 polymorphisms and haplotypes and newly incident smoking-related cancers in three case–control studies (Los Angeles: 611 lung and 601 upper aero-digestive tract (UADT) cancer cases and 1040 controls; Memorial Sloan-Kettering Cancer Center: 227 bladder cancer cases and 211 controls and Taixing, China: 218 esophagus, 206 stomach, 204 liver cancer cases and 415 controls). rs1061302 was associated with cancers of the lung [adjusted odds ratio (ORadj) = 1.6, 95% confidence interval (CI): 1.2, 2.4], larynx (ORadj = 0.56, 95% CI: 0.32, 0.97) and liver (ORadj = 1.7, 95% CI: 1.0, 2.9). Additionally, positive associations were found for rs709816 with bladder cancer (ORadj = 4.2, 95% CI: 1.4, 12) and rs1063054 with lung cancer (ORadj = 1.6, 95% CI: 1.0, 2.3). Some associations in lung and stomach cancers varied with smoking status. CAC haplotype was positively associated with smoking-related cancers: lung (ORadj = 1.7, 95% CI: 1.1, 2.9) and UADT (ORadj = 2.0, 95% CI: 1.1, 3.7), specifically, oropharynx (ORadj = 2.1, 95% CI: 1.0, 4.2) and larynx (ORadj = 4.8, 95% CI: 1.7, 14). Bayesian false-discovery probabilities were calculated to assess Type I error. It appears that NBS1 polymorphisms and haplotypes may be associated with smoking-related cancers and that these associations may differ by smoking status. Our findings also suggest that single-nucleotide polymorphisms located in the binding region of the MRE-RAD50-NBS1 complex or microRNA targeted pathways may influence tumor development. These hypotheses should be further examined in functional studies.

  J. A Schwartzbaum , Y Xiao , Y Liu , S Tsavachidis , M. S Berger , M. L Bondy , J. S Chang , S. M Chang , P. A Decker , B Ding , S. J Hepworth , R. S Houlston , F. J Hosking , R. B Jenkins , M. L Kosel , L. S McCoy , P. A McKinney , K Muir , J. S Patoka , M Prados , T Rice , L. B Robertson , M. J Schoemaker , S Shete , A. J Swerdlow , J. L Wiemels , J. K Wiencke , P Yang and M. R. Wrensch
 

To determine whether inherited variations in immune function single-nucleotide polymorphisms (SNPs), genes or pathways affect glioblastoma risk, we analyzed data from recent genome-wide association studies in conjunction with predefined immune function genes and pathways. Gene and pathway analyses were conducted on two independent data sets using 6629 SNPs in 911 genes on 17 immune pathways from 525 glioblastoma cases and 602 controls from the University of California, San Francisco (UCSF) and a subset of 6029 SNPs in 893 genes from 531 cases and 1782 controls from MD Anderson (MDA). To further assess consistency of SNP-level associations, we also compared data from the UK (266 cases and 2482 controls) and the Mayo Clinic (114 cases and 111 controls). Although three correlated epidermal growth factor receptor (EGFR) SNPs were consistently associated with glioblastoma in all four data sets (Mantel–Haenzel P values = 1 x 10–5 to 4 x 10–3), independent replication is required as genome-wide significance was not attained. In gene-level analyses, eight immune function genes were significantly (minP < 0.05) associated with glioblastoma; the IL-2RA (CD25) cytokine gene had the smallest minP values in both UCSF (minP = 0.01) and MDA (minP = 0.001) data sets. The IL-2RA receptor is found on the surface of regulatory T cells potentially contributing to immunosuppression characteristic of the glioblastoma microenvironment. In pathway correlation analyses, cytokine signaling and adhesion–extravasation–migration pathways showed similar associations with glioblastoma risk in both MDA and UCSF data sets. Our findings represent the first systematic description of immune genes and pathways that characterize glioblastoma risk.

 
 
 
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