Asian Pacific Journal of Cancer Prevention

  • 제15권23호
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  • Pages.10107-10114
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  • 2015
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  • 1513-7368(pISSN)
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  • 2476-762X(eISSN)
아시아태평양암예방학회 (Asian Pacific Journal of Cancer Prevention)
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Association of a Pre-miR-27a Polymorphism with Cancer Risk: an Updated Meta-analysis

  • Bai, Rong-Pan (Institute of Environmental Health, Zhejiang Univerisity School of Medicine) ;
  • Weng, Yu (Department of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang Univerisity School of Medicine) ;
  • Su, Li-Ling (Institute of Environmental Health, Zhejiang Univerisity School of Medicine) ;
  • Jin, Ming-Juan (Institute of Environmental Health, Zhejiang Univerisity School of Medicine) ;
  • Xu, Zheng-Ping (Institute of Environmental Health, Zhejiang Univerisity School of Medicine) ;
  • Lu, Li-Qin (Department of Oncology, Zhejiang Provincial People's Hospital) ;
  • Chen, Guang-Di (Institute of Environmental Health, Zhejiang Univerisity School of Medicine)
  • 발행 : 2015.01.06
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초록

MicroRNA-27a is highly expressed in cancers and has been identified as an oncogenic microRNA. A genetic variant in pre-miR-27a (rs895819) with a transition of A to G has been demonstrated to be associated with cancer risk; however, the results of these studies remain conflicting rather than conclusive. Therefore, we performed a meta-analysis to derive a more precise estimation. Through searching PubMed or other databases up to March 2014 using the following MeSH terms and keywords, "miR-27a", "polymorphism" and "cancer", seventeen case-control studies were identified in this meta-analysis, including 7,813 cases and 9,602. Crude odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were calculated to investigate the association strength between rs895819 and the susceptibility of cancer. The results of the overall meta-analysis did not suggest any association between rs895819 polymorphism and cancer susceptibility, and this remained in Asians as a subgroup. In Caucasians, however, the rs895819 was associated with a reduced cancer risk in heterozygous (OR, 0.83; 95%CI, 0.75-0.93) and dominant models (OR, 0.84; 95%CI, 0.76-0.93), and the [G] allele of rs895819 showed a protective effect (OR, 0.90, 95%CI, 0.84-0.97). Further studies showed a significant association between the [G] allele of rs895819 and decreased risk of breast cancer (0.91; 95%CI, 0.85-0.98), and stratified analyses indicated a protective effect of the [G] allele in Caucasians (OR, 0.89; 95%CI, 0.82-0.98), younger breast cancer cases (OR, 0.87; 95%CI, 0.79-0.96), and in the group of unilateral breast cancer patients (OR, 0.90; 95%CI, 0.83-0.97). These findings suggest an association between pre-miR-27a polymorphism rs895819 and cancer risk in Caucasians. The protective effect of rs895819 [G] allele in younger breast cancer and in the group of unilateral breast cancer patients await further confirmation since the included studies in this meta-analysis were limited.

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참고문헌

  1. Begg CB, Mazumdar M (1994). Operating characteristics of a rank correlation test for publication bias. Biometrics, 50, 1088-101. https://doi.org/10.2307/2533446
  2. Catucci I, Verderio P, Pizzamiglio S, et al (2012). The SNP rs895819 in miR-27a is not associated with familial breast cancer risk in Italians. Breast Cancer Res Treat, 133, 805-7. https://doi.org/10.1007/s10549-012-2011-y
  3. Chen K, Rajewsky N (2006). Natural selection on human microRNA binding sites inferred from SNP data. Nat Genet, 38, 1452-6. https://doi.org/10.1038/ng1910
  4. Chen K, Song F, Calin GA, et al (2008). Polymorphisms in microRNA targets: a gold mine for molecular epidemiology. Carcinogenesis, 29, 1306-11. https://doi.org/10.1093/carcin/bgn116
  5. Chen QH, Wang QB, Zhang B (2014). Ethnicity modifies the association between functional microRNA polymorphisms and breast cancer risk: a HuGE meta-analysis. Tumour Biol, 35, 529-43. https://doi.org/10.1007/s13277-013-1074-7
  6. Esteller M (2011). Non-coding RNAs in human disease. Nat Rev Genet, 12, 861-74.
  7. Ge YF, Sun J, Jin CJ, et al (2013). AntagomiR-27a targets FOXO3a in glioblastoma and suppresses U87 cell growth in vitro and in vivo. Asian Pac J Cancer Prev, 14, 963-8. https://doi.org/10.7314/APJCP.2013.14.2.963
  8. Hayashino Y, Noguchi Y, Fukui T (2005). Systematic evaluation and comparison of statistical tests for publication bias. J Epidemiol, 15, 235-43. https://doi.org/10.2188/jea.15.235
  9. Hezova R, Kovarikova A, Bienertova-Vasku J, et al (2012). Evaluation of SNPs in miR-196-a2, miR-27a and miR-146a as risk factors of colorectal cancer. World J Gastroenterol, 18, 2827-31. https://doi.org/10.3748/wjg.v18.i22.2827
  10. Hirota T, Date Y, Nishibatake Y, et al (2012). Dihydropyrimidine dehydrogenase (DPD) expression is negatively regulated by certain microRNAs in human lung tissues. Lung Cancer, 77, 16-23. https://doi.org/10.1016/j.lungcan.2011.12.018
  11. Jahid S, Sun J, Edwards RA, et al (2012). miR-23a promotes the transition from indolent to invasive colorectal cancer. Cancer Discov, 2, 540-53. https://doi.org/10.1158/2159-8290.CD-11-0267
  12. Jazdzewski K, Murray EL, Franssila K, et al (2008). Common SNP in pre-miR-146a decreases mature miR expression and predisposes to papillary thyroid carcinoma. Proc Natl Acad Sci USA, 105, 7269-74. https://doi.org/10.1073/pnas.0802682105
  13. Kozomara A, Griffiths-Jones S (2011). miRBase: integrating microRNA annotation and deep-sequencing data. Nucleic Acids Res, 39, 152-7.
  14. Kupcinskas J, Wex T, Link A, et al (2014). Gene polymorphisms of micrornas in Helicobacter pylori-induced high risk atrophic gastritis and gastric cancer. PLoS One, 9, 87467. https://doi.org/10.1371/journal.pone.0087467
  15. Li P (2011). Genetic associations of miRNA-SNPs with the common diseases and integrative analysis of "omics" data of hepatocellular carcinoma. Academy of Military Medical Sciences in the People's Liberation Army, [D] Beijing.
  16. Ma XP, Zhang T, Peng B, et al (2013). Association between microRNA polymorphisms and cancer risk based on the findings of 66 case-control studies. PLoS One, 8, 79584. https://doi.org/10.1371/journal.pone.0079584
  17. Mertens-Talcott SU, Chintharlapalli S, Li X, et al (2007). The oncogenic microRNA-27a targets genes that regulate specificity protein transcription factors and the G2-M checkpoint in MDA-MB-231 breast cancer cells. Cancer Res, 67, 11001-11. https://doi.org/10.1158/0008-5472.CAN-07-2416
  18. Pasquinelli AE (2012). MicroRNAs and their targets: recognition, regulation and an emerging reciprocal relationship. Nat Rev Genet, 13, 271-82.
  19. Ryan BM, Robles AI, Harris CC (2010). Genetic variation in microRNA networks: the implications for cancer research. Nat Rev Cancer, 10, 389-402. https://doi.org/10.1038/nrc2867
  20. Saunders MA, Liang H, Li WH (2007). Human polymorphism at microRNAs and microRNA target sites. Proc Natl Acad Sci U S A, 104, 3300-5. https://doi.org/10.1073/pnas.0611347104
  21. Shi D, Li P, Ma L, et al (2012). A genetic variant in pre-miR-27a is associated with a reduced renal cell cancer risk in a Chinese population. PLoS One, 7, 46566. https://doi.org/10.1371/journal.pone.0046566
  22. Song MY, Su HJ, Zhang L, et al (2013). Genetic polymorphisms of miR-146a and miR-27a, H. pylori infection, and risk of gastric lesions in a Chinese population. PLoS One, 8, 61250. https://doi.org/10.1371/journal.pone.0061250
  23. Sun Q, Gu H, Zeng Y, et al (2010). Hsa-mir-27a genetic variant contributes to gastric cancer susceptibility through affecting miR-27a and target gene expression. Cancer Sci, 101, 2241-7. https://doi.org/10.1111/j.1349-7006.2010.01667.x
  24. Wang B, Ma N, Wang Y (2012). Association between the hsamir-27a variant and breast cancer risk: a meta-analysis. Asian Pac J Cancer Prev, 13, 6207-10. https://doi.org/10.7314/APJCP.2012.13.12.6207
  25. Wang Z, Lai J, Wang Y, et al (2013). The Hsa-miR-27a rs895819 (A>G) polymorphism and cancer susceptibility. Gene, 521, 87-90. https://doi.org/10.1016/j.gene.2013.02.042
  26. Wei J, Zheng L, Liu S, et al (2013). MiR-196a2 rs11614913 T > C polymorphism and risk of esophageal cancer in a Chinese population. Hum Immunol, 74, 1199-205. https://doi.org/10.1016/j.humimm.2013.06.012
  27. Wu XJ, Li Y, Liu D, et al (2013). miR-27a as an oncogenic microRNA of hepatitis B virus- related hepatocellular carcinoma. Asian Pac J Cancer Prev, 14, 885-9. https://doi.org/10.7314/APJCP.2013.14.2.885
  28. Xiong XD, Luo XP, Cheng J, et al (2014). A genetic variant in pre-miR-27a is associated with a reduced cervical cancer risk in southern Chinese women. Gynecol Oncol, 132, 450-4. https://doi.org/10.1016/j.ygyno.2013.12.030
  29. Xu J, Yin Z, Shen H, et al (2013a). A genetic polymorphism in pre-miR-27a confers clinical outcome of non-small cell lung cancer in a Chinese population. PLoS One, 8, 79135. https://doi.org/10.1371/journal.pone.0079135
  30. Xu Q, He CY, Liu JW, et al (2013b). Pre-miR-27a rs895819A/G polymorphisms in cancer: a meta-analysis. PLoS One, 8, 65208. https://doi.org/10.1371/journal.pone.0065208
  31. Yang Q, Jie Z, Ye S, et al (2014). Genetic variations in miR-27a gene decrease mature miR-27a level and reduce gastric cancer susceptibility. Oncogene, 33, 193-202. https://doi.org/10.1038/onc.2012.569
  32. Yang R, Burwinkel B (2012). A bias in genotyping the miR-27a rs895819 and rs11671784 variants. Breast Cancer Res Treat, 134, 899-901. https://doi.org/10.1007/s10549-012-2140-3
  33. Yang R, Schlehe B, Hemminki K, et al (2010). A genetic variant in the pre-miR-27a oncogene is associated with a reduced familial breast cancer risk. Breast Cancer Res Treat, 121, 693-702. https://doi.org/10.1007/s10549-009-0633-5
  34. Yoon KA, Yoon H, Park S, et al (2012). The prognostic impact of microRNA sequence polymorphisms on the recurrence of patients with completely resected non-small cell lung cancer. J Thorac Cardiovasc Surg, 144, 794-807. https://doi.org/10.1016/j.jtcvs.2012.06.030
  35. Yuan L, Chu H, Wang M, et al (2013). Genetic variation in DROSHA 3'UTR regulated by hsa-miR-27b is associated with bladder cancer risk. PLoS One, 8, e81524. https://doi.org/10.1371/journal.pone.0081524
  36. Zanetti KA, Haznadar M, Welsh JA, et al (2012). 3'-UTR and functional secretor haplotypes in mannose-binding lectin 2 are associated with increased colon cancer risk in African Americans. Cancer Res, 72, 1467-77. https://doi.org/10.1158/0008-5472.CAN-11-3073
  37. Zeng Y, Cullen BR (2003). Sequence requirements for micro RNA processing and function in human cells. RNA, 9, 112-23. https://doi.org/10.1261/rna.2780503
  38. Zeng Y, Yi R, Cullen BR (2005). Recognition and cleavage of primary microRNA precursors by the nuclear processing enzyme Drosha. EMBO J, 24, 138-48. https://doi.org/10.1038/sj.emboj.7600491
  39. Zhang M (2012). Study on the Associations of Lifestyle-related Factors, Gentic Variants in miRNA encoding regions and mirna binding sites with colorectal cancer risk. Zhejiang University, [D] Zhejiang.
  40. Zhang M, Jin M, Yu Y, et al (2012). Associations of miRNA polymorphisms and female physiological characteristics with breast cancer risk in Chinese population. Eur J Cancer Care, 21, 274-80.
  41. Zhang N, Huo Q, Wang X, et al (2013). A genetic variant in pre-miR-27a is associated with a reduced breast cancer risk in younger Chinese population. Gene, 529, 125-30. https://doi.org/10.1016/j.gene.2013.07.041
  42. Zhang P (2011). Polymorphisms of MicroRNA and ESR1 genes and their association with triple negative breast cancer risk and prognosis. Chinese Academy of Medical Sciences (Beijing Union Medical College), [D] Beijing.
  43. Zhong S, Chen Z, Xu J, et al (2013). Pre-mir-27a rs895819 polymorphism and cancer risk: a meta-analysis. Mol Biol Rep, 40, 3181-6. https://doi.org/10.1007/s11033-012-2392-3
  44. Zhou Y, Du WD, Chen G, et al (2012). Association analysis of genetic variants in microRNA networks and gastric cancer risk in a Chinese Han population. J Cancer Res Clin Oncol, 138, 939-45. https://doi.org/10.1007/s00432-012-1164-8

피인용 문헌

  1. Functional polymorphism within miR-23a∼27a∼24-2 cluster confers clinical outcome of breast cancer in Pakistani cohort pp.1744-828X, 2019, https://doi.org/10.2217/pme-2018-0059