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. 2020 Jun;9(3):216–223. doi: 10.2174/2211536608666190906111830

The Relationship between Pre-miR-3131 3-bp Insertion/Deletion Polymorphism and Susceptibility and Clinicopathological Characteristics of Patients with Breast Cancer

Mahsa Azizi 1, Nahid Rahimi 1, Gholamreza Bahari 2,*, Seyed Mehdi Hashemi 3, Mohammad Hashemi 1,4
PMCID: PMC7366006  PMID: 31490768

Abstract

Aims

This study aimed at examining the effect of 3-bp pre-miR-3131 insertion/deletion (ins/del) polymorphism on Breast Cancer (BC) risk.

Objectives

Totally 403 women including 199 BC patients and 204 women who have no cancer were included in this case-control study. Genotyping of miR-3131 3-bp ins/del polymorphism was performed by mismatch PCR-RFLP method.

Methods

The findings expressed that the pre-miR-3131 3-bp ins/del variant was not related to the risk of BC in all genetic tested models. While, the ins/del genotype was related to late onset BC (OR=2.53, 95%CI=1.27-4.84, p=0.008).

Results

Pooled results from the meta-analysis indicated to that the pre-miR-3131 ins/del is related to with an increased risk of cancer in heterozygous (OR=1.26, 95%CI=1.06-1.51, p=0.01), dominant (OR=1.33, 95%CI=1.14-1.54, p=0.0002), and allele (OR=1.24, 95%CI=1.06-1.45, p=0.006) genetics models.

Conclusion

It is concluded that, our findings did not support a relationship between pre-miR-3131 ins/del polymorphism and the risk of BC. While, this variant was significantly related to late onset BC. Combined results of this study with previous studies indicated that this polymorphism increased the risk of cancer. More studies in a study with larger population with variety of ethnicities are required to verify our findings.

Keywords: Breast cancer, deletion, insertion, polymorphism, pre-miR-3131, PCR, genotype

1. Introduction

Breast Cancer (BC) is one of the most common cancers among women in the world. It is reported for 24.2% of all new cancer cases and 15% of all cancer deaths globally among female in 2018 [1]. The etiology of BC is inadequately understood; although genetic, environmental and lifestyle risk factors have been related to the incidence of BC. Mounting evidence indicated that genetic forms in microRNAs (miRNAs) are involved in BC development and progression [2-7].

MicroRNAs are short (19-23 nucleotides), non-coding, single-stranded RNA molecules that regulate post-translational genes expression by degradation or translation prohibiting of target mRNA [8-10]. MiRNAs are key regulators of the human transcriptome and function as oncogenes or tumor suppressor genes depending on the function of their target genes [11-14].

Increasing evidence shows that genetic variations in miRNA genes can change the expression, biogenesis of miRNA, or target selection thus affecting their target genes’ expression and cancer development [3, 7, 11, 15-17]. Small insertions and deletions (Indels) variations are one of the most genetic alterations that change the human traits and diseases [18-21].

Pre-miR-3131 is mapped to chromosome 2 in the intron 2 of IHH (Indian Hedgehog) gene. A 3-bp ins/del (rs57408770) polymorphism is placed in the 3`end of miR-3131 (Fig. 1). Although, the precise molecular mechanism of miR-3131 in cancer development remains mostly unidentified. It has been reported that miR-3131 operates as a protooncogene in Hepatocellular Carcinoma (HCC) [11]. The 3-bp ins/del polymorphism affects the expression of miR-3131 [11]. Limited studies examined the effect of 3-bp ins/del (rs57408770) polymorphism in pre-miR-3131 on cancer [11, 22]. To the best of our knowledge, there is no data about the role of pre-miR-3131 3-bp ins/del polymorphism on BC development. Therefore, this study aimed at examining the relationship between pre-miR-3131 3-bp ins/del polymorphism and BC susceptibility in a sample of the southeast Iranian population.

Fig. (1).

Fig. (1)

Schematic representation of 3-bp ins/del (rs57408770 polymorphism in the 3`end of miR-3131.

2. Materials and Methods

This case-control study was conducted on 199 BC female patients and 204 women without cancer as control group. The enrolment process and study design have been previously described [23, 24]. Ethics approval for recruitment was obtained from review board of Zahedan University of Medical Sciences, and all subjects provided the written informed consent. Extraction of genomic DNA from whole blood was achieved by salting out method. Extracted DNA was stored at -20°C until analysis.

2.1. Genotyping

As previously mentioned, genotyping of miR-1313 rs57408770 polymorphism was done by mismatch PCR-RFLP method [22]. The primer sequences of forward and reverse were 5`-CTGTGCAGCTGACTCTGAGAAGACG-3` and 5`-TATTGGCTCCTAGGAAGGCTGAGT-3`, respectively. 1 μl of genomic DNA (100 ng/μl), 1 μl of each primers (10 μM), 7 μl 2X master mix (GeNet Bio, Korea) and 10 μl of nuclease free water was added in each 0.20 ml PCR reaction tube. Amplification was performed with an initial denaturation at 95 °C for 6 min, followed by 30 cycles of denaturation at 95°C for 30 s, annealing at 65°C for 30 s, extension at 72°C for 30 sec, with a final extension step of 72°C for 5 min. The amplification product was digested by AluI (New England BioLabs, Beverly, MA) restriction enzyme and resolved by electrophoresis in 2.5% agarose gel. The del allele remained undigested (191 bp), while the ins allele were digested and produced two fragments of 171 and 20 bp.

2.2. Bioinformatics Analysis

We examined whether the 3-bp ins/del polymorphism affect secondary structure by quantifying Minimum Free Energy (MFE) change of miR-3131.

2.3. Statistical Analysis

All statistical analyses were performed by statistical package SPSS 22 software. Independent sample t-test and χ2 test were used for contentious and categorical data, respectively. Unconditional logistic regression analysis was used to test the relationship between miR-3131 3-bp ins/del variant and BC risk. P-value below 0.05 was considered statistically significant.

2.4. Quantitative Analysis

We also conducted a meta-analysis by combining our results with those from previous studies. Searching electronic databases enabled us to identify eligible case-control studies. We calculated the Combined Odds Ratios (ORs) and 95% Confidence Intervals (CIs) for five genetic models to estimate the relationship between the miR-3131 3-bp ins/del polymorphism and the risk of overall cancer. The significance of the combined OR was measured by the Z‐test and P<0.05 is considered to be statistically significant. Review Manager version 5.3 software was used to perform the statistical analyses.

3. Results

3.1. Association Findings

This study included 199 BC patients with a mean age of 48.39 ± 11.08 years and 204 women who have no cancer with a mean age of 48.49 ± 10.51 years. There is no significant difference between the groups in term of age (p =0.924).

Table 1 shows the genotypes and allele frequencies of miR-3131 rs57408770 polymorphism in BC cases and controls. The results showed that the ins/del polymorphism was not related to the risk of BC in heterozygous (OR=1.31, 95%CI= 0.84-2.05, p=0.254 ins/del vs. del/del), homozygous (OR=0.92, 95%CI=0.55-1.56, p=0.792, ins/ins vs. del/del), dominant (OR=0.83, 95%CI=0.77-1.70, p=0.550, ins/del+ins/ins vs. del/del), recessive (OR=0.57, 95%CI=0.52-1.36, p=0.543, ins/ins vs. ins/del+del/del and allele (OR=1.01, 95%CI=0.75-1.35, p=0.999, ins vs. del) genetic models.

Table 1.

The genotype and allele frequencies of 3-bp I/D (rs57408770) polymorphism of pre-miR-3131 in breast cancer patients and controls.

Polymorphism Breast Cancer
n (%)
Controls
n (%)
OR (95%CI) P
Codominant
del/del 94 (47.2) 103 (50.5) 1.00 -
ins/del 68 (34.2) 57 (21.1) 1.31 (0.84-2.05) 0.254
ins/ins 37 (18.6) 44 (28.4) 0.92 (0.55-1.56) 0.792
Dominant
del/del 94 (47.2) 103 (50.5) 1.00 -
ins/del+ins/ins 105 (52.8) 101 (49.5) 0.83 (0.77-1.70) 0.550
Recessive
del/del+ins/del 162 (81.4) 160 (71.6) 1.00 -
ins/ins 37 (18.6) 44 (28.4) 0.57 (0.52-1.36) 0.534
Allele
del 256 (64.3) 263 (64.5) 1.00 -
ins 142 (35.7) 145 (35.5) 1.01 (0.75-1.35) 0.999

Table 2 shows the relationship between rs57408770 poly-morphism and clinicopathological characteristics, such as

Table 2.

Association of 3-bp indel (rs57408770) polymorphism of pre-miR-3131 with clinicopathological characteristics of Breast Cancer (BC) patients.

Characteristic of Patients 3-bp Indel P
DD ID II
Age, years 0.021
≤50 43 17 12 -
>50 51 51 25 -
Tumor size, cm 0.458
≤2 29 27 11 -
>2 58 39 26 -
Histology 0.811
Ductal carcinoma 63 48 24 -
Others 27 18 12 -
Lymph node metastasis 0.817
No 23 15 11 -
Yes 54 43 24 -
Grade 0.379
I 13 11 4 -
II 42 37 16 -
III+IV 15 10 11
Characteristic of Patients 3-bp Indel P
DD ID II
Stage 0.895
I 14 11 5 -
II 34 21 16 -
III 25 22 10 -
IV 17 14 6 -
Estrogen receptor status 0.660
Positive 53 44 23 -
Negative 33 20 12 -
Progesterone receptor status 0.594
Positive 48 41 21 -
Negative 38 23 14 -
HER2 status 0.504
Positive 45 33 14 -
Negative 46 33 22 -

age, tumor size, grade, stage, pathological type, lymph node metastasis, estrogen receptor status, progesterone receptor status and HER2 status. The findings expressed that rs57408770 polymorphism was only related to late onset BC so that the ins/del genotypes increased the risk of BC in age>50 years compared to Age ≤50 years (OR=2.53, 95%CI=1.27-4.84, p=0.008).

3.2. Bioinformatics Findings

The complete RNA sequence of miR-3131 (Accession: NR_036081.1) was used to measure the impact of 3-bp ins/del polymorphism on the RNA structure (Fig. 2). The free energy of the thermodynamic ensemble for deletion and insertion are -30.19 kcal/mol and -29.99 kcal/mol, respectively.

Fig. (2).

Fig. (2)

The effect of 3-bp ins/del (rs57408770) polymorphism in the 3`end of miR-3131 on mRNA folding structure by RNAfold (A, ins; B, del; C and D mountain plot of ins and del that indicate the MFE structure, the thermodynamic ensemble of RNA structures, the centroid structure and positional entropy for each position). The free energy of the thermodynamic ensemble for ins and del is -29.99 kcal/mol and -30.19 kcal/mol, respectively. (A higher resolution / colour version of this figure is available in the electronic copy of the article).

3.3. Meta-analysis Results

Combined analysis of data showed that miR-3131 3-bp ins/del polymorphism significantly augmented the risk of overall cancer in heterozygous (OR=1.26, 95%CI=1.06-1.51, p=0.01), dominant (OR=1.33, 95%CI=1.14-1.54, p=0.0002), and allele (OR=1.24, 95%CI=1.06-1.45, p=0.006) genetics models (Fig. 3).

Fig. (3).

Fig. (3)

The Forest plot for association between miR-3131 3-bp ins/del polymorphism and cancer susceptibility for (A), ins/del vs. del/del (B), ins/ins vs. del/del (C), ins/del+ins/ins vs. del/del (D), ins/ins vs. ins/del+del/del (E), and ins vs. del. (A higher resolution / colour version of this figure is available in the electronic copy of the article).

4. Discussion

Intensive transcriptome sequencing has discovered non-coding RNAs (ncRNAs), which report about 98% of the whole genome [25, 26]. The ncRNAs can be classified into miRNAs, small interfering RNAs (siRNAs), antisense RNAs (asRNAs), and lncRNAs [27, 28]. They play a key role in various biological functions by regulating the gene expression [29].

MiRNAs function as tumor suppressors or oncogenes and dysregulation of miRNAs are involved in the initiation and progression of cancer [30-34]. Small insertions and deletion (indels) variations in human genome could be functionally key sites and potentially affect human traits and diseases [11, 18, 22]. Many studies have been conducted on the relation between polymorphisms in miRNAs and cancer development [3, 7, 17, 35-40]. To our knowledge, this is the first study that examines the effect of miR-3131 3-bp ins/del polymorphism on of BC susceptibility. Our finding showed that there is no significant relationship between pre-miR-3131 ins/del variant and BC susceptibility. On the other hand, we observed that this variant was significantly related to the late onset BC. Wang et al. [11] reported that the insertion allele is significantly related to the risk of Hepatocellular Carcinoma (HCC). Moreover, their findings showed that 3-bp ins/del polymorphism may affect the miR-3131 expression. Hashemi et al. [22] have found that 3-bp ins/del polymorphism is related to the risk of Prostate Cancer (PCa), but this polymorphism was not related to clinicopathological characteristics of PCa patients. Shen et al. [41] have reported that the level of miR-3131 was up-regulated 92-folds in treated HepG2 cells with Ganoderma lucidum polysaccharide, indicating that miR-3131 may play a significant role in the proliferation and differentiation of HCC cells.

We examined the effect of 3-bp ins/del polymorphism on miR-3131 RNA stability. The results indicated that ins/del polymorphism affect the stability of RNA. The analysis of free energy of RNA structure shows that the deletion allele structure is more stable than that of insertion allele (-30.19 kcal/mol for deletion and -29.99 kcal/mol for insertion, respectively).

The findings of combined analysis showed a relationship between miR-3131 3-bp ins/del polymorphism and increased the risk of cancer development.

Activation of oncogenes and inactivation of tumor suppression genes is one of the hallmarks of cancer.

miRNAs are small non-coding RNA molecules that regulate gene expression by binding to the in 3`-untranslated regions (UTR) of target certain mRNAs [42, 43]. Polymorphisms within miRNAs sequences affecting miRNA expression and/or miRNA-target pair sites [44]. Genetic polymorphisms in miRNAs have been shown to be involved in the initiation and progression of several cancers [5, 35, 45, 46]. It has been proposed that miR-3131 may act as a protooncogene in HCC [11]. The expression level of miR-3131 in HCC tissues was significantly higher than those in the paired non-cancerous tissues. It has been shown that 3-bp indel polymorphism within miR-3131 is functional and affect the expression of mature miR-3131. The expression level of miR-3131 was significantly higher in insertion allele than the deletion allele [11].

conclusion

In conclusion, our findings showed no significant association between pre-miR-3131 3-bp ins/del polymorphism and female BC development in a sample of Southeast Iranian population. A combined analysis expressed that this variant increased the risk of overall cancer. More studies with different ethnicities and larger sample sizes seek to verify the findings.

Acknowledgements

Declared none.

Ethics Approval and Consent to Participate

Ethics approval was obtained from Zahedan University of Medical Sciences, Zahedan, Iran, approval number (IR.ZAUMS.REC.1396.296).

Human and Animal Rights

No animals were used in the study. All reported human were experimented in accordance with the ethical standards of the committee responsible for human experimentation (institutional and national), and with the Helsniki Declaration of 1975, as revised in 2008 (http://www.wma.net/en/20activities/10ethics/10helsinki/).

Consent for Publication

Written informed consent was taken from each individual.

Availability of Data and Materials

Not applicable.

Funding

This study was funded by a dissertation grant (MSc thesis of MA #8588) from Zahedan University of Medical Sciences, Zahedan, Iran.

Conflict of Interest

The authors declare no conflict of interest, financial or otherwise.

References

  • 1.Bray F., Ferlay J., Soerjomataram I., Siegel R.L., Torre L.A., Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2018;68(6):394–424. doi: 10.3322/caac.21492. [DOI] [PubMed] [Google Scholar]
  • 2.Danesh H., Hashemi M., Bizhani F., Hashemi S.M., Bahari G. Association study of miR-100, miR-124-1, miR-218-2, miR-301b, miR-605, and miR-4293 polymorphisms and the risk of breast cancer in a sample of Iranian population. Gene. 2018;647:73–78. doi: 10.1016/j.gene.2018.01.025. [DOI] [PubMed] [Google Scholar]
  • 3.Wu J., Wang Y., Shang L., Qi L., Song M. Five common functional polymorphisms in microRNAs and susceptibility to breast cancer: an updated meta-analysis. Genet. Test. Mol. Biomarkers. 2018;22(6):350–358. doi: 10.1089/gtmb.2017.0270. [DOI] [PubMed] [Google Scholar]
  • 4.Moazeni-Roodi A., Ghavami S., Hashemi M. Association between miR-423 rs6505162 polymorphism and susceptibility to cancer. Arch. Med. Res. 2019;50(1):21–30. doi: 10.1016/j.arcmed.2019.04.002. [DOI] [PubMed] [Google Scholar]
  • 5.Choupani J., Nariman-Saleh-Fam Z., Saadatian Z., Ouladsahebmadarek E., Masotti A., Bastami M. Association of mir-196a-2 rs11614913 and mir-149 rs2292832 polymorphisms with risk of cancer: an updated meta-analysis. Front. Genet. 2019;10:186. doi: 10.3389/fgene.2019.00186. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Bodal V.K., Sangwan S., Bal M.S., Kaur M., Sharma S., Kaur B. Association between microRNA 146a and microRNA 196a2 genes polymorphism and breast cancer risk in North Indian women. Asian Pac. J. Cancer Prev. 2017;18(9):2345–2348. doi: 10.22034/APJCP.2017.18.9.2345. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Omrani M., Hashemi M., Eskandari-Nasab E., et al. Hsa-mir-499 rs3746444 gene polymorphism is associated with susceptibility to breast cancer in an Iranian population. Biomarkers Med. 2014;8(2):259–267. doi: 10.2217/bmm.13.118. [DOI] [PubMed] [Google Scholar]
  • 8.Bartel D.P. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell. 2004;116(2):281–297. doi: 10.1016/S0092-8674(04)00045-5. [DOI] [PubMed] [Google Scholar]
  • 9.Lim L.P., Lau N.C., Garrett-Engele P., et al. Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs. Nature. 2005;433(7027):769–773. doi: 10.1038/nature03315. [DOI] [PubMed] [Google Scholar]
  • 10.Moazeni-Roodi A., Ghavami S., Hashemi M. Lack of association between miR-605 rs2043556 polymorphism and overall cancer risk: a meta-analysis of case-control studies. MicroRNA. 2019;8(2):94–100. doi: 10.2174/2211536608666181204110508. [DOI] [PubMed] [Google Scholar]
  • 11.Wang C., Li L., Yin Z., et al. An indel polymorphism within pre-miR3131 confers risk for hepatocellular carcinoma. Carcinogenesis. 2017;38(2):168–176. doi: 10.1093/carcin/bgw206. [DOI] [PubMed] [Google Scholar]
  • 12.Dhawan A., Scott J.G., Harris A.L., Buffa F.M. Pan-cancer characterisation of microRNA across cancer hallmarks reveals microRNA-mediated downregulation of tumour suppressors. Nat. Commun. 2018;9(1):5228. doi: 10.1038/s41467-018-07657-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Wang M., Qiu R., Gong Z., et al. miR-188-5p emerges as an oncomiRNA to promote gastric cancer cell proliferation and migration via upregulation of SALL4. J. Cell. Biochem. 2019;120(9):15027–15037. doi: 10.1002/jcb.28764. [DOI] [PubMed] [Google Scholar]
  • 14.Wu H., Xu L., Chen Y., Xu C. MiR-208a-3p functions as an oncogene in colorectal cancer by targeting PDCD4. Biosci. Rep. 2019;39(4):39. doi: 10.1042/BSR20181598. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • 15.Hu Z., Chen J., Tian T., et al. Genetic variants of miRNA sequences and non-small cell lung cancer survival. J. Clin. Invest. 2008;118(7):2600–2608. doi: 10.1172/JCI34934. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Sibin M.K., Harshitha S.M., Narasingarao K.V., Dhananjaya I.B., Dhaval P.S., Chetan G.K. Effect of rs11614913 polymorphism on mature miR196a2 expression and its target gene HOXC8 expression in human glioma. J. Mol. Neurosci. 2017;61(2):144–151. doi: 10.1007/s12031-016-0855-z. [DOI] [PubMed] [Google Scholar]
  • 17.Liu F., Dear K., Huang L., et al. Association between microRNA-27a rs895819 polymorphism and risk of colorectal cancer: a meta-analysis. Cancer Genet. 2016;209(9):388–394. doi: 10.1016/j.cancergen.2016.08.003. [DOI] [PubMed] [Google Scholar]
  • 18.Mullaney J.M., Mills R.E., Pittard W.S., Devine S.E. Small insertions and deletions (INDELs) in human genomes. Hum. Mol. Genet. 2010;19(R2):R131–R136. doi: 10.1093/hmg/ddq400. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Hashemi M., Bahari G., Sarhadi S., et al. 4-bp insertion/deletion (rs3783553) polymorphism within the 3'UTR of IL1A contributes to the risk of prostate cancer in a sample of Iranian population. J. Cell. Biochem. 2018;119(3):2627–2635. doi: 10.1002/jcb.26427. [DOI] [PubMed] [Google Scholar]
  • 20.Hashemi M., Moazeni-Roodi A., Tabasi F., Ghavami S. 5-bp insertion/deletion polymorphism in the promoter region of LncRNA GAS5 and cancer risk: a meta-analysis of 7005 cases and 8576 controls. Meta Gene. 2018;18:177–183. doi: 10.1016/j.mgene.2018.09.007. [DOI] [Google Scholar]
  • 21.Hashemi M., Bahari G., Bizhani F., et al. Evaluation of 4-bp insertion/deletion polymorphism within the 3'UTR of SGSM3 in bladder cancer using mismatch PCR-RFLP method: a preliminary report. J. Cell. Biochem. 2018;119(8):6566–6574. doi: 10.1002/jcb.26764. [DOI] [PubMed] [Google Scholar]
  • 22.Hashemi M., Bahari G., Sattarifard H., Narouie B. Evaluation of a 3-base pair indel polymorphism within pre-microRNA-3131 in patients with prostate cancer using mismatch polymerase chain reaction-restriction fragment length polymorphism. Mol. Clin. Oncol. 2017;7(4):696–700. doi: 10.3892/mco.2017.1369. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Hashemi M., Sanaei S., Hashemi S.M., Eskandari E., Bahari G. Association of single nucleotide polymorphisms of the MDM4 gene with the susceptibility to breast cancer in a Southeast Iranian population sample. Clin. Breast Cancer. 2018;18(5):e883–e891. doi: 10.1016/j.clbc.2018.01.003. [DOI] [PubMed] [Google Scholar]
  • 24.Hashemi M., Danesh H., Bizhani F., Sattarifard H., Hashemi S.M., Bahari G. Detection of a 4-bp insertion/deletion polymorphism within the promoter of EGLN2 using mismatch PCR-RFLP and its association with susceptibility to breast cancer. Asian Pac. J. Cancer Prev. 2018;19(4):923–926. doi: 10.22034/APJCP.2018.19.4.923. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Eddy S.R. Non-coding RNA genes and the modern RNA world. Nat. Rev. Genet. 2001;2(12):919–929. doi: 10.1038/35103511. [DOI] [PubMed] [Google Scholar]
  • 26.Mattick J.S. Non-coding RNAs: the architects of eukaryotic complexity. EMBO Rep. 2001;2(11):986–991. doi: 10.1093/embo-reports/kve230. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Yang S., Sun Z., Zhou Q., et al. MicroRNAs, long noncoding RNAs, and circular RNAs: potential tumor biomarkers and targets for colorectal cancer. Cancer Manag. Res. 2018;10:2249–2257. doi: 10.2147/CMAR.S166308. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Guttman M., Rinn J.L. Modular regulatory principles of large non-coding RNAs. Nature. 2012;482(7385):339–346. doi: 10.1038/nature10887. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Fernandes J.C.R., Acuña S.M., Aoki J.I., Floeter-Winter L.M., Muxel S.M. Long non-coding RNAs in the regulation of gene expression: physiology and disease. Noncoding RNA. 2019;5(1):5. doi: 10.3390/ncrna5010017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Wang T., Xu H., Qi M., Yan S., Tian X. miRNA dysregulation and the risk of metastasis and invasion in papillary thyroid cancer: a systematic review and meta-analysis. Oncotarget. 2017;9(4):5473–5479. doi: 10.18632/oncotarget.16681. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.van Schooneveld E., Wildiers H., Vergote I., Vermeulen P.B., Dirix L.Y., Van Laere S.J. Dysregulation of microRNAs in breast cancer and their potential role as prognostic and predictive biomarkers in patient management. Breast Cancer Res. 2015;17:21. doi: 10.1186/s13058-015-0526-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Qiu X., Dou Y. miR-1307 promotes the proliferation of prostate cancer by targeting FOXO3A. Biomed. Pharmacother. 2017;88:430–435. doi: 10.1016/j.biopha.2016.11.120. [DOI] [PubMed] [Google Scholar]
  • 33.Kobayashi M., Saito A., Tanaka Y., et al. MicroRNA expression profiling in canine prostate cancer. J. Vet. Med. Sci. 2017;79(4):719–725. doi: 10.1292/jvms.16-0279. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Guan B., Wu K., Zeng J., et al. Tumor-suppressive microRNA-218 inhibits tumor angiogenesis via targeting the mTOR component RICTOR in prostate cancer. Oncotarget. 2017;8(5):8162–8172. doi: 10.18632/oncotarget.14131. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Moazeni-Roodi A., Hashemi M. Association between miR-124-1 rs531564 polymorphism and risk of cancer: an updated meta-analysis of case-control studies. EXCLI J. 2018;17:608–619. doi: 10.17179/excli2018-1419. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Moazeni-Roodi A., Bahari G., Taheri M., Ansari H., Hashemi M. Association between miR-218 rs11134527 polymorphism and risk of selected types of cancer in Asian population: an updated meta-analysis of case-control studies. Gene. 2018;678:370–376. doi: 10.1016/j.gene.2018.08.053. [DOI] [PubMed] [Google Scholar]
  • 37.Hasani S.S., Hashemi M., Eskandari-Nasab E., Naderi M., Omrani M., Sheybani-Nasab M. A functional polymorphism in the miR-146a gene is associated with the risk of childhood acute lymphoblastic leukemia: a preliminary report. Tumour Biol. 2014;35(1):219–225. doi: 10.1007/s13277-013-1027-1. [DOI] [PubMed] [Google Scholar]
  • 38.Hashemi M., Sanaei S., Mashhadi M.A., Hashemi S.M., Taheri M., Ghavami S. Association study of Hsa-mir-603 rs11014002 polymorphism and risk of breast cancer in a sample of Iranian population. Cell. Mol. Biol. 2015;61(8):69–73. [PubMed] [Google Scholar]
  • 39.Hashemi M., Sanaei S., Rezaei M., et al. miR-608 rs4919510 C>G polymorphism decreased the risk of breast cancer in an Iranian subpopulation. Exp. Oncol. 2016;38(1):57–59. doi: 10.31768/2312-8852.2016.38(1):57-59. [DOI] [PubMed] [Google Scholar]
  • 40.Sanaei S., Hashemi M., Rezaei M., Hashemi S.M., Bahari G., Ghavami S. Evaluation of the pri-miR-34b/c rs4938723 polymorphism and its association with breast cancer risk. Biomed. Rep. 2016;5(1):125–129. doi: 10.3892/br.2016.690. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Shen J., Park H.S., Xia Y.M., Kim G.S., Cui S.W. The polysaccharides from fermented Ganoderma lucidum mycelia induced miRNAs regulation in suppressed HepG2 cells. Carbohydr. Polym. 2014;103:319–324. doi: 10.1016/j.carbpol.2013.12.044. [DOI] [PubMed] [Google Scholar]
  • 42.Polytarchou C., Hommes D.W., Palumbo T., et al. MicroRNA214 is associated with progression of ulcerative colitis, and inhibition reduces development of colitis and colitis-associated cancer in mice. Gastroenterology. 2015;149:981–992. doi: 10.1053/j.gastro.2015.05.057. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Guo H., Ingolia N.T., Weissman J.S., Bartel D.P. Mammalian microRNAs predominantly act to decrease target mRNA levels. Nature. 2010;466(7308):835–840. doi: 10.1038/nature09267. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Ryan B.M., Robles A.I., Harris C.C. Genetic variation in microRNA networks: the implications for cancer research. Nat. Rev. Cancer. 2010;10(6):389–402. doi: 10.1038/nrc2867. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Thakur N., Singhal P., Mehrotra R., Bharadwaj M. Impacts of single nucleotide polymorphisms in three microRNAs (miR-146a, miR-196a2 and miR-499) on the susceptibility to cervical cancer among Indian women. Biosci. Rep. 2019;39(4):39. doi: 10.1042/BSR20180723. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Hashemi M., Moazeni-Roodi A., Bahari G., Taheri M., Ghavami S. Association between miR-34b/c rs4938723 polymorphism and risk of cancer: an updated meta-analysis of 27 case-control studies. J. Cell. Biochem. 2019;120(3):3306–3314. doi: 10.1002/jcb.27598. [DOI] [PubMed] [Google Scholar]

Associated Data

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Data Availability Statement

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