Zhou Qiong, Jiang Yiwei, Yin Wenjin, Wang Yaohui, Lu Jinsong
Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China; Department of Gynecology, Zhejiang Cancer Hospital, Hangzhou, People's Republic of China.
Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China; Breast Cancer Center, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, People's Republic of China.
Onco Targets Ther. 2016 May 9;9:2749-57. doi: 10.2147/OTT.S102433. eCollection 2016.
Numerous clinical studies have suggested that chemopreventive drugs for breast cancer such as tamoxifen and exemestane can effectively reduce the incidence of estrogen receptor (ER)-positive breast cancer. However, it remains unclear how to identify those who are susceptible to ER-positive breast cancer. Accordingly, there is a great demand for a probe into the predisposing factors so as to provide precise chemoprevention. Recent evidence has indicated that ERα expression can be regulated by microRNAs (miRNAs), such as miR-206, in breast cancer. We assumed that single-nucleotide polymorphisms (SNPs) in the miR-206-binding sites of the target genes may be associated with breast cancer susceptibility with different ER statuses.
We genotyped the SNPs that reside in and around the miR-206-binding sites of two target genes - heparan sulfatase 1 (SULF1) and RPTOR-independent companion of mammalian target of rapamycin Complex 2 (RICTOR) - which were related to the progression or metastasis of breast cancer cells in 710 breast cancer patients and 294 controls by the matrix-assisted laser desorption ionization-time of flight mass spectrometry method. Modified odds ratios (ORs) with their 95% confidence intervals (CIs) were calculated by a multivariate logistic regression analysis to evaluate the potential association between the SNPs and breast cancer susceptibility.
For rs3802278, which is located in the 3'-untranslated region (3'-UTR) of SULF1, the frequency of the AA genotype was less in breast cancer patients than that in the controls as compared to that of the GG + GA genotype not only for ER-positive breast cancer patients (adjusted OR =0.663, P=0.032) but also for hormone receptor-positive breast cancer patients (adjusted OR =0.610, P=0.018). Besides, the frequency of the AA genotype was less than that of the GG genotype between the ER-positive breast cancer patients and the controls (adjusted OR =0.791, P=0.038). For rs66916453, which is located in the 3'-UTR of RICTOR, no significant difference was observed between the case and the control group for the genotypes or alleles (P>0.05).
The SNPs in the miRNA-binding sites within the 3'-UTR of SULF1 may serve as protective factors against the susceptibility to breast cancer, especially to ER-positive breast cancer in the Chinese population. These SNPs are promising candidate biomarkers to predict the susceptibility of breast cancer and guide the administration of targeted preventive endocrine therapy.
众多临床研究表明,他莫昔芬和依西美坦等乳腺癌化学预防药物可有效降低雌激素受体(ER)阳性乳腺癌的发病率。然而,如何识别那些易患ER阳性乳腺癌的人群仍不清楚。因此,迫切需要探究易感因素,以便提供精准的化学预防。最近有证据表明,在乳腺癌中,ERα的表达可受微小RNA(miRNA)如miR - 206的调控。我们推测,靶基因miR - 206结合位点的单核苷酸多态性(SNP)可能与不同ER状态下的乳腺癌易感性相关。
我们采用基质辅助激光解吸电离飞行时间质谱法,对710例乳腺癌患者和294例对照中与乳腺癌细胞进展或转移相关的两个靶基因——硫酸乙酰肝素酶1(SULF1)和哺乳动物雷帕霉素靶蛋白复合物2(RICTOR)的不依赖RPTOR的伴侣蛋白——的miR - 206结合位点及其周围的SNP进行基因分型。通过多因素逻辑回归分析计算校正比值比(OR)及其95%置信区间(CI),以评估SNP与乳腺癌易感性之间的潜在关联。
对于位于SULF1 3'非翻译区(3'-UTR)的rs3802278,与GG + GA基因型相比,AA基因型在乳腺癌患者中的频率低于对照组,不仅在ER阳性乳腺癌患者中如此(校正OR = 0.663,P = 0.032),在激素受体阳性乳腺癌患者中也是如此(校正OR = 0.610,P = 0.018)。此外,在ER阳性乳腺癌患者与对照组之间,AA基因型的频率低于GG基因型(校正OR = 0.791,P = 0.038)。对于位于RICTOR 3'-UTR的rs66916453,病例组与对照组在基因型或等位基因方面未观察到显著差异(P>0.05)。
SULF1 3'-UTR内miRNA结合位点的SNP可能是中国人群中乳腺癌尤其是ER阳性乳腺癌易感性的保护因素。这些SNP有望成为预测乳腺癌易感性并指导靶向预防性内分泌治疗的候选生物标志物。