Association study of hsa-mir-603 rs11014002 polymorphism and risk of breast cancer in a sample of Iranian population

被引:0
作者
Hashemi, M. [1 ,2 ]
Sanaei, S. [2 ]
Mashhadi, M. A. [3 ]
Hashemi, S. M. [3 ]
Taheri, M. [4 ]
Ghavami, S. [5 ]
机构
[1] Zahedan Univ Med Sci, Cellular & Mol Res Ctr, Zahedan, Iran
[2] Zahedan Univ Med Sci, Sch Med, Dept Clin Biochem, Zahedan, Iran
[3] Zahedan Univ Med Sci, Sch Med, Dept Internal Med, Zahedan, Iran
[4] Zahedan Univ Med Sci, Genet Noncommunicable Dis Res Ctr, Zahedan, Iran
[5] Univ Manitoba, Dept Human Anat & Cell Sci, Coll Med, Fac Hlth Sci, Winnipeg, MB, Canada
关键词
Hsa-mir-603; Cancer; PCR-RFLP; Breast; polymorphism; CELL LUNG-CANCER; MICRORNA EXPRESSION PROFILES; CHINESE POPULATION; FUNCTIONAL POLYMORPHISMS; ANIMAL DEVELOPMENT; GENES; SUSCEPTIBILITY; METAANALYSIS; MIRNA; PREVALENCE;
D O I
暂无
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Accumulated evidence have proposed that single nucleotide polymorphisms (SNPs) in microRNAs (miRNAs) are connected to breast cancer (BC) risk. We have done a case-control study with 258 BC patients and 209 control women to examine the potential association of Hsa-mir-603 rs11014002 C>T polymorphisms with BC susceptibility. The polymorphisms were genotyped by polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) method. Our findings showed that the rs11014002 C>T variant was not associated with an increased risk of BC in codominant (OR=0.67, 95% CI=0.42-1.08, P=0.121, CT vs CC; and OR=0.18, 95% CI=0.02-1.67, P=0.170, TT vs CC), dominant (OR=0.64, 95% CI=0.41-1.01, P=0.062, CT+TT vs CC), and recessive (OR=0.20, 95% CI=0.02-1.81, P=0.178, TT vs CC+CT) inheritance models tested. While, the T allele significantly decreased the risk of BC (OR=0.63; 95% CI = 0.41-0.95; P=0.032) compared to C allele. In conclusion, the findings indicated that Mir603 rs11014002 T allele might contribute to decrease the risk of BC in a sample of Iranian population. Further studies with larger sample sizes and different ethnicities are warranted to confirm our findings.
引用
收藏
页码:69 / 73
页数:5
相关论文
共 51 条
  • [1] MicroRNA-21 Expression in Primary Breast Cancer Tissue Among Egyptian Female Patients and its Correlation with Chromosome 17 Aneusomy
    Abdel-hamid, Noura Ramadan
    Mohammed, Eman A.
    Abbas, Ashraf H.
    Badr, Fouad M.
    [J]. MOLECULAR DIAGNOSIS & THERAPY, 2015, 19 (06) : 365 - 373
  • [2] Al Sarakbi W, 2006, J Carcinog, V5, P16, DOI 10.1186/1477-3163-5-16
  • [3] The functions of animal microRNAs
    Ambros, V
    [J]. NATURE, 2004, 431 (7006) : 350 - 355
  • [4] Association between CCNE1 polymorphisms and the risk of breast cancer in a sample of southeast Iranian population
    Amininia, Shadi
    Hashemi, Mohammad
    Ebrahimi, Mahboubeh
    Mashhadi, Mohammad Ali
    Hashemi, Seyed Mehdi
    Taheri, Mohsen
    Ghavami, Saeid
    [J]. MEDICAL ONCOLOGY, 2014, 31 (10)
  • [5] Babu GR, 2011, ASIAN PAC J CANCER P, V12, P1647
  • [6] Association of a Pre-miR-27a Polymorphism with Cancer Risk: an Updated Meta-analysis
    Bai, Rong-Pan
    Weng, Yu
    Su, Li-Ling
    Jin, Ming-Juan
    Xu, Zheng-Ping
    Lu, Li-Qin
    Chen, Guang-Di
    [J]. ASIAN PACIFIC JOURNAL OF CANCER PREVENTION, 2014, 15 (23) : 10107 - 10114
  • [7] MicroRNAs: Genomics, biogenesis, mechanism, and function (Reprinted from Cell, vol 116, pg 281-297, 2004)
    Bartel, David P.
    [J]. CELL, 2007, 131 (04) : 11 - 29
  • [8] Prevalence of Hypothyroidism in Benign Breast Disorders and Effect of Thyroxine Replacement on the Clinical Outcome
    Bhargav, Panchagan R. K.
    Mishra, Anjali
    Agarwal, Gaurav
    Agarwal, Amit
    Verma, Ashok Kumar
    Mishra, Saroj Kanta
    [J]. WORLD JOURNAL OF SURGERY, 2009, 33 (10) : 2087 - 2093
  • [9] Global estimates of cancer prevalence for 27 sites in the adult population in 2008
    Bray, Freddie
    Ren, Jian-Song
    Masuyer, Eric
    Ferlay, Jacques
    [J]. INTERNATIONAL JOURNAL OF CANCER, 2013, 132 (05) : 1133 - 1145
  • [10] Genetic Variations in the Flanking Regions of miR-101-2 Are Associated with Increased Risk of Breast Cancer
    Chen, Jiaping
    Qin, Zhenzhen
    Jiang, Yue
    Wang, Yanru
    He, Yisha
    Dai, Juncheng
    Jin, Guangfu
    Ma, Hongxia
    Hu, Zhibin
    Yin, Yongmei
    Shen, Hongbing
    [J]. PLOS ONE, 2014, 9 (01):