Cytokine and cytokine receptor single-nucleotide polymorphisms predict risk for non-small cell lung cancer among women.
Cytokine and cytokine receptor single-nucleotide polymorphisms predict risk for non-small cell lung cancer among women.
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DOI：
10.1158/1055-9965.epi-08-0962
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发表时间：
2009-06
期刊：
影响因子：
--
通讯作者：
Schwartz AG
中科院分区：
文献类型：
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作者：
Van Dyke AL;Cote ML;Wenzlaff AS;Chen W;Abrams J;Land S;Giroux CN;Schwartz AG
关于炎症途径基因与肺癌风险之间关系的研究没有包括非洲裔美国人，并且只包括少数基因。在一项基于人群的病例对照研究中，我们对198名非洲裔美国妇女和744名高加索妇女进行了研究，研究了70种细胞因子和细胞因子受体单核苷酸多态性（SNP）与非小细胞肺癌（NSCLC）风险之间的关系。非条件logistic回归用于估计优势模型中调整肺癌主要危险因素的比值比和95%置信区间。在白种人中，根据种族、吸烟史和慢性阻塞性肺疾病史进行单独分析。按种族进行随机森林分析。在logistic回归分析中，IL 6（白细胞介素6），IL 7 R，IL 15，TNF（肿瘤坏死因子）和IL 10 SNP与非裔美国人的非小细胞肺癌风险相关; IL 7 R和IL 10 SNP也与白人肺癌风险相关。尽管随机森林分析显示IL 7 R和IL 10 SNP与非裔美国人肺癌风险相关，但它也将TNFRSF 10A SNP确定为重要的预测因子。在随机森林分析中，IL 1A SNP被确定为高加索女性肺癌的重要预测因子。炎症性SNPs可根据人种、吸烟史和慢性阻塞性肺疾病史差异预测高加索女性NSCLC风险。提供了途径分析结果。炎症途径基因型可能有助于定义高风险人群;在少数人群中进一步探索这些基因是必要的。
Studies on the relationships between inflammatory pathway genes and lung cancer risk have not included African-Americans and have only included a handful of genes. In a population-based case-control study on 198 African-American and 744 Caucasian women, we examined the association between 70 cytokine and cytokine receptor single-nucleotide polymorphisms (SNPs) and risk of non–small cell lung cancer (NSCLC). Unconditional logistic regression was used to estimate odds ratios and 95% confidence intervals in a dominant model adjusting for major risk factors for lung cancer. Separate analyses were conducted by race and by smoking history and history of chronic obstructive pulmonary disease among Caucasians. Random forest analysis was conducted by race. On logistic regression analysis, IL6 (interleukin 6), IL7R, IL15, TNF (tumor necrosis factor), and IL10 SNP were associated with risk of non–small cell lung cancer among African-Americans; IL7R and IL10 SNPs were also associated with risk of lung cancer among Caucasians. Although random forest analysis showed IL7R and IL10 SNPs as being associated with risk for lung cancer among African-Americans, it also identified TNFRSF10A SNP as an important predictor. On random forest analysis, an IL1A SNP was identified as an important predictor of lung cancer among Caucasian women. Inflammatory SNPs differentially predicted risk for NSCLC according to race, as well as based on smoking history and history of chronic obstructive pulmonary disease among Caucasian women. Pathway analysis results are presented. Inflammatory pathway genotypes may serve to define a high risk group; further exploration of these genes in minority populations is warranted.