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炎症细胞因子基因多态性与癌因性疲乏的关联研究
引用本文:李朝霞,余新林,肖晓辉,王骏臣,胡玮,米登海.炎症细胞因子基因多态性与癌因性疲乏的关联研究[J].临床荟萃,2019,34(11):970.
作者姓名:李朝霞  余新林  肖晓辉  王骏臣  胡玮  米登海
作者单位:1.甘肃省第二人民医院介入肿瘤科,甘肃 兰州 730000; 2.甘肃省人民医院呼吸科,甘肃 兰州 730000
基金项目:甘肃省卫生行业科研项目
摘    要:目的 探讨炎症细胞因子基因多态性与癌因性疲乏(CRF)的关联,为研究遗传易感性在CRF发生发展中所起的作用提供研究基础。方法 肺癌患者242例,其中癌因性疲乏组162例,非癌因性疲乏组80例。通过PCR RFLP进行基因分型,分析基因型及等位基因频率在疲乏组与非疲乏组的分布情况及炎症细胞因子基因多态性与癌因性疲乏的关联性。结果 TNFα 308G/A、IL 1β 511C/T基因型分布在两组间差异有统计学意义(P均<0.05)。多元logistic回归校正了年龄和性别等混杂因素后显示,相对于TNFα 308GG基因型患者,携带GA/AA基因型患者发生CRF的风险降低了74%(15%~92%);相对于IL 6 174GG基因型患者,携带GC/CC基因型患者发生CRF的风险降低了78%(0%~95%);在IL 1β 511C/T基因位点中,携带CC基因型的患者发生CRF的风险是TT基因型患者的3.96倍(95%CI 1.02 15.45)。结论 携带TNFα 308GG、IL 6 174GG、IL 1β 511CC基因型的肺癌患者发生癌因性疲乏的风险明显增加。

关 键 词:病理状态     体征和症状  细胞因子类  基因顺序  

Correlation between inflammatory cytokine polymorphisms and cancer related fatigue
Li Zhaoxia,Yu Xinlin,Xiao Xiaohui,Wang Juncheng,Hu Wei,Mi Denghai.Correlation between inflammatory cytokine polymorphisms and cancer related fatigue[J].Clinical Focus,2019,34(11):970.
Authors:Li Zhaoxia  Yu Xinlin  Xiao Xiaohui  Wang Juncheng  Hu Wei  Mi Denghai
Institution:1.Department of Invasive Technology and Oncology,  the Second Hospital of Gansu Province,  Lanzhou  730000,  China;  2. Department of Respiratory Medicine,  the People's Hospital of ; Gansu Province,  Lanzhou 730000,  China
Abstract:Objective To explore the correlation between the inflammatory cytokine polymorphisms and cancer related fatigue(CRF), and provide research basis for the investigation of genetic variation in the development and progression of CRF. Methods Totally 242 lung cancer patients were divided into CRF group (162) and non CRF group (80). Genotyping was carried out according to the polymerase chain reaction restriction fragment length polymorphism(PCR RFLP), then the distribution of allele frequency and genotypes were analyzed, as well as the correlation between inflammatory cytokine polymorphisms and CRF.Results There was statistically significant difference between the distribution of TNFα 308 G/A and IL 1β 511 C/T genotypes(all P<0.05). After adjusting the confounding factors such as age and gender, multivariate logistic regression showed that patients with GA/AA genotype had a lower risk for CRF by 74% as compared with patients with TNF α 308GG genotype(15% 92%); patients with GC/CC genotype had a lower risk by 78% in comparison with patients with IL 6 174GG genotype(0% 95%); in the genetic locus of IL 1β 511C/T, the patients with CC genotype were 3.96 times more likely to develop CRF than those with TT genotype (95%CI 1.02 15.45). Conclusion Patients with TNFα 308GG, IL 6 174GG and IL 1β 511CC genotypes have a significantly increased risk of CRF.
Keywords:pathological condition     signs and symptoms  cytokines  gene order  
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