Associations of CXCL1 gene 5’UTR variations with ovarian cancer
Associations of CXCL1 gene 5’UTR variations with ovarian cancer
复制标题
CXCL1基因5UTR变异与卵巢癌的关联
DOI：
10.1186/s13048-020-00640-9
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发表时间：
2019
影响因子：
4
通讯作者：
Shu
中科院分区：
文献类型：
--
作者：
Man Guo;Chao Xu;Yan;Qi;Xin;Xin Liu;Yi Yang;Yixing Hu;Fei;Shu
全世界每年约有240万例卵巢癌新发病例和150万例卵巢癌死亡。慢性炎症是OC的一个危险因素。C-X-C基序趋化因子配体1 （CXCL1）缺陷可能促进卵巢癌的炎症和反激活EGFR，但与潜在疾病相关的精确单倍型在很大程度上仍然未知。在这项工作中，我们对CXCL1基因变异进行了表征，以阐明它们与OC的可能关联。方法分析300例OC患者和400例健康对照者的CXCL1基因。采用SPSS软件（19.0版）和Plink软件（1.9版）对患者和对照人群进行统计分析和Hardy-Weinberg平衡检验。结果在CXCL1基因内或附近鉴定出rs11547681、rs201090116、rs199791199、rs181868085、rs4074和rs1814092变异。rs11547681和rs4074的遗传杂合度非常高。统计分析显示，该基因的rs11547681变异与中国汉族人群的OC风险密切相关，但该变异与FIGO分期和患者的病理分级无关。结论CXCL1基因Rs11547681位点与中国汉族人群卵巢癌发病风险相关。
Background There are about 2.4 hundred thousand new cases and 1.5 hundred thousand deaths of ovarian cancer (OC) annually in the world. Chronic inflammation is a risk factor for OC. C-X-C motif chemokine ligand 1 (CXCL1) defects may facilitate inflammation and transactivate EGFR in ovarian cancer, but the precise haplotypes associated with the potential diseases remained largely unknown. In this work, we characterized CXCL1 gene variations to elucidate their possible associations with OC. Methods We analyzed the CXCL1 gene for 300 OC patients with 400 healthy participants as controls. The statistical analyses and Hardy-Weinberg equilibrium tests of the patients and control populations were conducted using the SPSS software (version 19.0) and Plink (version 1.9). Results The variants rs11547681, rs201090116, rs199791199, rs181868085, rs4074 and rs1814092 within or near the CXCL1 gene were characterized. The genetic heterozygosity of rs11547681 and rs4074 was very high. Statistical analysis showed that the variant rs11547681 in the gene was closely associated with the risk of OC in the Chinese Han population, although this variant was not associated with FIGO stages or pathological grades of the patients. Conclusions Rs11547681 in CXCL1 gene was associated with the risk of OC in the Chinese Han population.
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影响因子：
45.3
作者：
Song, Honglin;Dicks, Ed;Pharoah, Paul D. P.
通讯作者：
Pharoah, Paul D. P.
影响因子：
10.3
作者：
Ramus, Susan J.;Song, Honglin;Gayther, Simon A.
通讯作者：
Gayther, Simon A.
DOI：
--
发表时间：
2016
期刊：
--
影响因子：
--
作者：
Christina B. Rasmussen;S. Kjaer;V. Albieri;E. Bandera;J. Doherty;E. Høgdall;P. Webb;S. Jordan;M. Rossing;K. Wicklund;M. Goodman;F. Modugno;K. Moysich;R. Ness;R. Edwards;J. Schildkraut;A. Berchuck;S. Olson;L. Kiemeney;L. Massuger;S. Narod;C. Phelan;H. Anton-Culver;A. Ziogas;A. Wu;C. Pearce;H. Risch;A. Jensen
通讯作者：
Christina B. Rasmussen;S. Kjaer;V. Albieri;E. Bandera;J. Doherty;E. Høgdall;P. Webb;S. Jordan;M. Rossing;K. Wicklund;M. Goodman;F. Modugno;K. Moysich;R. Ness;R. Edwards;J. Schildkraut;A. Berchuck;S. Olson;L. Kiemeney;L. Massuger;S. Narod;C. Phelan;H. Anton-Culver;A. Ziogas;A. Wu;C. Pearce;H. Risch;A. Jensen
影响因子：
45.3
作者：
Setiawan, Veronica Wendy;Yang, Hannah P.;Horn-Ross, Pamela L.
通讯作者：
Horn-Ross, Pamela L.
影响因子：
45.3
作者：
Wentzensen, Nicolas;Poole, Elizabeth M.;Tworoger, Shelley S.
通讯作者：
Tworoger, Shelley S.