Yan Rui, Wang Kaijuan, Peng Rui, Wang Shuaibing, Cao Jingjing, Wang Peng, Song Chunhua
Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, PR China.
Department of Tumor Epidemiology, Henan Key Laboratory of Tumor Epidemiology, Zhengzhou, 450001, PR China.
Oncotarget. 2016 Apr 19;7(16):22486-96. doi: 10.18632/oncotarget.7995.
Long non-coding RNA (lncRNA) steroid receptor RNA activator (SRA) has been identified to activate steroid receptor transcriptional activity and participate in tumor pathogenesis. This case-control study evaluated the association between two haplotype tagging SNPs (htSNPs) (rs10463297, rs801460) of the whole SRA sequence and breast cancer risk. We found that rs10463297 TC genotype significantly increased BC risk compared with CC genotype in both the codominant (TC vs. TT: OR=1.43, 95 % CI=1.02-2.00) and recessive (TC+CC vs. TT: OR=1.39, 95 % CI=1.01-1.92) genetic models. Both TC, TC + CC genotypes of rs10463297 and GA, AA, GA+AA genotypes of rs801460 were significantly associated with estrogen receptor (ER) positivity status. rs10463297 TC (2.09 ± 0.41), CC (2.42 ± 0.51) and TC + CC (2.20 ± 0.47) genotypes were associated with higher blood plasma SRA mRNA levels compared with the TT genotype (1.45 ± 0.34). Gene-reproductive interaction analysis presented a best model consisted of four factors (rs10463297, age, post-menopausal, No. of pregnancy), which could increase the BC risk with 1.58-fold (OR=1.58, 95 % CI=1.23-2.03). These findings suggest that SRA genetic variants may contribute to BC risk and have apparent interaction with reproductive factors in BC progression.
长链非编码RNA(lncRNA)类固醇受体RNA激活剂(SRA)已被证实可激活类固醇受体转录活性并参与肿瘤发病机制。本病例对照研究评估了整个SRA序列的两个单倍型标签单核苷酸多态性(htSNP)(rs10463297、rs801460)与乳腺癌风险之间的关联。我们发现,在共显性遗传模型(TC与TT:OR = 1.43,95%CI = 1.02 - 2.00)和隐性遗传模型(TC + CC与TT:OR = 1.39,95%CI = 1.01 - 1.92)中,与CC基因型相比,rs10463297的TC基因型显著增加了患乳腺癌的风险。rs10463297的TC、TC + CC基因型以及rs801460的GA、AA、GA + AA基因型均与雌激素受体(ER)阳性状态显著相关。与TT基因型(1.45 ± 0.34)相比,rs10463297的TC(2.09 ± 0.41)、CC(2.42 ± 0.51)和TC + CC(2.20 ± 0.47)基因型与更高的血浆SRA mRNA水平相关。基因 - 生殖相互作用分析显示,由四个因素(rs10463297、年龄、绝经后、妊娠次数)组成的最佳模型可使患乳腺癌的风险增加1.58倍(OR = 1.58,95%CI = 1.23 - 2.03)。这些发现表明,SRA基因变异可能与乳腺癌风险相关,并在乳腺癌进展过程中与生殖因素存在明显的相互作用。