Single-nucleotide polymorphism in microRNA-binding site of SULF1 target gene as a protective factor against the susceptibility to breast cancer: a case-control study

Yin Wenjin; Zhou Qiong; Jiang Yiwei; Wang Yaohui; Lu Jinsong

Chinese︱Feedback︱Save this page

Single-nucleotide polymorphism in microRNA-binding site of SULF1 target gene as a protective factor against the susceptibility to breast cancer: a case-control study

Yin Wenjin 1 #,Zhou Qiong 1,Jiang Yiwei 2,Wang Yaohui 2,Lu Jinsong 2 *

1.Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China

2.Breast Cancer Center, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China

*Correspondence author

#Submitted by

Subject:

Funding: The research is supported by grants from the National Natural Science Foundation of China （No.81172505 and 81302302), the Doctoral Programs Foundation of the Ministry of Education of China）

Opened online:17 May 2016

Accepted by: none

Citation: Yin Wenjin,Zhou Qiong,Jiang Yiwei.Single-nucleotide polymorphism in microRNA-binding site of SULF1 target gene as a protective factor against the susceptibility to breast cancer: a case-control study[OL]. [17 May 2016] http://en.paper.edu.cn/en_releasepaper/content/4688734

Purpose: 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 ER 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. Methods: 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. Results: 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). Conclusion: 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.

Keywords:breast cancer susceptibility; miRNA; single-nucleotide polymorphism; SULF1

For this paper

● PDF (0B)
● Revision 0 　　
● Print this paper
● Recommend this paper to a friend
● Add to my favorite list

Saved Papers

Please enter a name for this paper to be shown in your personalized Saved Papers list

Tags

Add yours

Related Papers

Statistics

PDF Downloaded	29
Bookmarked	0
Recommend	0
Comments	Array

Submit your papers

Alert Name:
Alerting to:
Authentication email will be sent to your email address in 24 hours
Frequency:
Email Message Format:	Plain text Graphical(HTML)

Complete the form below and we will recommend the selected titles to your friends on your behalf. * Indicates a required field.
Your name*:
Your email address*:
Recipient's name*:
Recipient's email address*:
(multiple recipient's names and email addresses should be separated with semicolons)
Your comments:	I thought you would find the page(s) useful.

Your name:
Your email address:
Recipient's name:
Recipient's email address:
(multiple recipient's names and email addresses should be separated with semicolons)
Your comments:	I thought you would find this page useful.

Disclaimer: This message was sent to your friend using the "Send it to a friend" facility on the Sciencepaper Online’ WWW site, http://www.paper.edu.cn/en. The Sciencepaper Online is not responsible for the content of this email, and anything said in this email does not necessarily reflect the Sciencepaper Online's views.

	Check out RSS, or use RSS reader to subscribe this item

Saved Papers