TNFRSF10B polymorphisms and haplotypes associated with increased risk of death in non-small cell lung cancer. Carcinogenesis 2013 Nov;34(11):2525-30
Date
07/11/2013Pubmed ID
23839018Pubmed Central ID
PMC3810840DOI
10.1093/carcin/bgt244Scopus ID
2-s2.0-84887001533 (requires institutional sign-in at Scopus site) 17 CitationsAbstract
Presently, there are few validated biomarkers that can predict survival or treatment response for non-small cell lung cancer (NSCLC) and most are based on tumor markers. Biomarkers based on germ line DNA variations represent a valuable complementary strategy, which could have translational implications by subclassifying patients to tailored, patient-specific treatment. We analyzed single nucleotide polymorphisms (SNPs) in 53 inflammation-related genes among 651 NSCLC patients. Multivariable Cox proportional hazard models, adjusted for lung cancer prognostic factors, were used to assess the association of genotypes and haplotypes with overall survival. Four of the top 15 SNPs associated with survival were located in the TNF-receptor superfamily member 10b (TNFRSF10B) gene. The T-allele of the top ranked SNP (rs11785599) was associated with a 41% increased risk of death (95% confidence interval [CI] = 1.16-1.70) and the other three TNFRSF10B SNPs (rs1047275, rs4460370 and rs883429) exhibited a 35% (95% CI = 1.11-1.65), 29% (95% CI = 1.06-1.57) and 24% (95% CI = 0.99-1.54) increased risk of death, respectively. Haplotype analyses revealed that the most common risk haplotype (TCTT) was associated with a 78% (95% CI = 1.25-2.54) increased risk of death compared with the low-risk haplotype (CGCC). When the data were stratified by treatment, the risk haplotypes exhibited statistically significantly increased risk of death among patients who had surgery only and no statistically significant effects among patients who had surgery and adjuvant chemotherapy. These data suggest that possessing one or more risk alleles in TNFRSF10B is associated with an increased risk of death. Validated germ line biomarkers may have potential important clinical implications by optimizing patient-specific treatment.
Author List
Schabath MB, Giuliano AR, Thompson ZJ, Amankwah EK, Gray JE, Fenstermacher DA, Jonathan KA, Beg AA, Haura EBAuthor
Ernest Amankwah PhD Director, Associate Professor in the Clinical and Translational Science Institute department at Medical College of WisconsinMESH terms used to index this publication - Major topics in bold
AdenocarcinomaAdenocarcinoma, Bronchiolo-Alveolar
Biomarkers, Tumor
Carcinoma, Large Cell
Carcinoma, Non-Small-Cell Lung
Carcinoma, Squamous Cell
Female
Follow-Up Studies
Haplotypes
Humans
Lung Neoplasms
Male
Middle Aged
Neoplasm Staging
Polymorphism, Single Nucleotide
Prognosis
Prospective Studies
Receptors, TNF-Related Apoptosis-Inducing Ligand
Survival Rate