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TNFRSF10B polymorphisms and haplotypes associated with increased risk of death in non-small cell lung cancer

机译:与非小细胞肺癌死亡风险增加相关的TNFRSF10B多态性和单倍型

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摘要

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 lowrisk 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.
机译:目前,很少有经过验证的生物标志物可以预测非小细胞肺癌(NSCLC)的存活或治疗反应,并且大多数基于肿瘤标志物。基于种系DNA变异的生物标志物代表了一种有价值的补充策略,通过将患者细分为量身定制的,针对患者的治疗方法,可能具有翻译意义。我们分析了651名NSCLC患者中53个与炎症相关的基因中的单核苷酸多态性(SNP)。根据肺癌的预后因素进行调整的多变量Cox比例风险模型用于评估基因型和单倍型与总体生存率的关系。与生存相关的前15个SNP中有四个位于TNF受体超家族成员10b(TNFRSF10B)基因中。排名最高的SNP(rs11785599)的T等位基因与死亡风险增加41%(95%置信区间[CI] = 1.16-1.70)相关,而其他三个TNFRSF10B SNP(rs1047275,rs4460370和rs883429)显示死亡风险分别增加了35%(95%CI = 1.11-1.65),29%(95%CI = 1.06-1.57)和24%(95%CI = 0.99-1.54)。单倍型分析显示,与低风险单倍型(CGCC)相比,最常见的风险单倍型(TCTT)与死亡风险增加78%(95%CI = 1.25-2.54)相关。当按治疗方法对数据进行分层时,仅接受手术的患者中的危险单倍型显示出统计学上显着增加的死亡风险,而接受手术和辅助化疗的患者中的单倍型没有统计学显着性影响。这些数据表明,在TNFRSF10B中拥有一个或多个风险等位基因与死亡风险增加相关。通过优化患者特异性治疗,已验证的种系生物标志物可能具有潜在的重要临床意义。

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