Sage Journals: Discover world-class research

Abstract

Introduction:

Prostate cancer has a high incidence in men and is the second cause of cancer death among americans male. microRNA (miR) is becoming a potential new prognostic factor for prostate cancer. Single nucleotide polymorphisms (SNPs) are common polymorphisms, characterized by a single exchange of nitrogen based in the DNA. This polymorphism is present in the miRs, altering their function.

Objective:

To evaluate the role of SNP rs1834306 of miR100 and rs2910164 of miR146a in the development and prognosis of prostate cancer.

Methods:

One hundred patients diagnosed with prostate cancer and 68 controls were selected. The identification of SNP was rated by quantitative polymerase chain reaction from blood samples, and the analysis was performed within the presence of SNP and the prognostic variables.

Results:

In the SNP rs1834306 (miR100), a smaller presence of the polymorphic homozygous genotype was identified in patients with PSA >10 ng/mL, (P=0.03); when evaluating only the presence of the polymorphic allele G (P=0.09) it was compared to the presence of the wild type allele A. Among the patients with prostate cancer, SNP rs2910164 (miR146A), the polymorphic allele was more frequent in patients with a Gleason score ⩾7 than in patients with a Gleason score <7, (P=0.043). In patients with prostate cancer, miR100 was overexpressed in those with pT3 staging compared to pT2 and among those who had biochemical recurrence (P = 0.004 and P = 0.011, respectively).

Conclusions:

SNP of miR146a acts as a poor prognostic factor (Gleason ⩾7), and the SNP of miR100 is linked to better prognostic data (PSA <10). MiR100 was overexpressed in prostate cancer with worse prognostic factors.

Keywords

microRNA Markers single nucleotide polymorphisms prostate cancer disease sites prognostic/predictive markers molecular biology base sequence

Introduction

Prostate cancer (PCa) is the most common non-cutaneous tumor in men. Approximately 191,930 newly diagnosed cases were estimated in the United States in 2020, and 33,330 deaths from this pathology will appear.¹

microRNA (miR) is a short non-coding RNA sequence with approximately 18–22 nucleotides whose main function is to act as a silencer for target genes. The dysregulation of miR is related to carcinogenesis, due to the alteration of key biological pathways.² By targeting tumor suppressors and oncogenes, miRs can be a cellular regulator key for processes that explain the cancer cell phenotype, and could be promising therapeutic targets.³

miR-146a is defined in the regulation of inflammation and its expression appears to be regulated by inflammatory factors such as IL-1 and TNF-alpha. miR146a blocks the expression of some target genes that are involved in the TLR pathways. Sun et al.⁴ describe that miR146a plays a role in PCa through negative Rac1 reduction. Lin et al.⁵ reported that miR146a can function as a tumor suppressor miR during a modulation of the HA/ROCK1.

Many studies described that miR100 could be important in carcinogenesis, with a role to target key genes in cellular progression. It is possible for the function in tumor promotion and tumor suppression. miR-100 might have importance in the prognostic and/or diagnosis of PCa. The dysregulation and aberrant expression could be present in the carcinogenesis and tumor progression. On the other hand, miR100 re-sensitizes these carcinogenic cells to chemotherapeutic drugs. Thus, these findings suggested that miR100 could be a new target in treatments and a new molecular marker for PCa.⁶

Single nucleotide polymorphisms (SNP) can be identified in approximately 100 independent variants, and have been associated with gene expression, changes in normal prostate tissue, PCa, and prostatic secretions.^7-9

Some studies have shown the presence of SNPs not only in DNA but also in miRs, modifying their biological behavior and effect.¹⁰ In a systematic review it was observed that SNP (rs2910164)-C in miR146a is implicated in the susceptibility to gynecological cancer. The SNP miR100 (rs1834306)-G was not associated with risk of female neoplasms.¹¹

Methods

Patients

This study included 100 patients diagnosed with clinically localized PCa, submitted to radical prostatectomy and 68 patients without PCa in a control group.

We assessed the distributions of polymorphisms related to level of preoperative PSA <10ng/mL and ⩾10ng/mL, Gleason score (GS) subdivided in ⩽6 and 7–10, pathological staging, divided into T2 (organ-confined) and T3 tumors (extra-prostatic disease) and biochemical recurrence, which were considered positive when the post-treatment PSA was higher than 0.2 ng/mL. In the control group, we included 68 healthy patients that were randomly selected. The inclusion criteria for the control group were PSA below 2.5 ng/mL, no family history of PCa, and over 60 years old. The same surgeon performed all surgeries. Blood samples were collected and stored at −20°C. All patients agreed with the study and signed an informed consent form authorizing their participation in the study and allowed their biological samples to be genetically analyzed. This study was approved by the Ethics Committee of University of São Paulo Medical School no. 1.912.899.

The patients’ samples were analyzed by polymerase chain reaction (PCR) for frequency of 2 SNPs: rs1834306 and rs2910164.

Analysis of SNPs

Genomic DNA was extracted from patients’ blood samples using QIamp DNA mini kit (QIAGEN). The SNPs were genotyped using probes labeled with fluorophores (Taqman^®-SNP Genotyping Assay Kit) and an ABI 7500 fast system for amplification by PCR.

The PCR was performed using these volumes: 2.0 μL of DNA, 2.75 μL distilled water for PCR, 0.25 μL primer specific to each polymorphism and 5.0 μL of Master Mix TaqMan, totalizing 10 μL for each reaction. The PCR template was amplified by 40 cycles at 95°C for 15 seconds and at 60°C for 1 minute, proceeded by 2 minute at 50°C, and 10 minute at 95°C.

MiR isolation and real time PCR

For an analysis of the expression of in vitro assays, microRNA was extracted using the mirVana kit (Ambion, Austin, TX, USA), according to the manufacturer’s instructions. How agents were quantified in a spectrophotometer (Nanodrop DN-1000, Wilmington, USA) (260/280 nM) and stored at −20ºC. These samples were transformed in complementary DNA (cDNA) from total RNA extracted, using High-Capacity cDNA Reverse Transcription Kit (Applied Biosystems, CA, USA) and RT primer for miR100.

The miR expression reactions were performed according to the kit protocol (Applied Biosystems^® TaqMan^® Universal PCR Master Mix). The thermal cycler used was ABI 7500 fast (Applied Biosystems, CA, USA) in standard mode. To quantify the samples, TaqMan^® chemistry (Applied Biosystems) was used. Reagents were used in the following concentrations: 0.5 µL of the specific primer TM for miR100; 5 µL of TaqMan^® master mix; 2.5 µL of nuclease-free water and 2.0 µL of cDNA (concentrated in 15 ng). The level of gene expression was obtained by the 2-ΔCT method, acquired from Applied Biosystems DataAssist Software. All reactions were performed in duplicate and the RNU48 was used as an endogenous control for miR (Applied Biosystems).

Statistical analysis

We analyzed the allele frequency in control group in comparison to patients with PC to verify the degree of significance, using chi-square test (X²). To verify the association of each polymorphism and prognostic factors—such as preoperative PSA, GS, and pathological staging—we assessed by calculating the odds ratio (OR) and its respective 95% confidence interval (95% CIs). Statistical analyses were performed in SPSS 19.0 software.

For expression and correlation analysis, a Kolmogorov-Smirnov normality test was performed, and subsequently the Mann–Whitney statistical test, using the GraphPad Prism 8.0.1 software.

Results

The rs1834306 (miR100) polymorphism was identified in 70.6% and 75% of the PCa and control groups, respectively. SNP ID rs2910164 (miR146a) was identified in 52% of the PCa group and in 57.4% of the control group.

We performed an analysis using a Chi-square test to elucidate whether any of the genotypes (wild homozygous, heterozygous, or polymorphic homozygous) of the studied polymorphisms have a higher prevalence in the group of patients with PCa or in the control group.

The Chi-square test was performed with SNPs rs1834306 (miR100) and rs2910164 (miR146a), respectively (Table 1).

Table 1.

Distribution of the genotypes of the two SNPs in patients diagnosed with PCa and in individuals in the control group.

SNP	Genotype	Control (n)	PCa (n)	OR (95% CI)	P
rs1834306 (miR100)
	AA*	25.0% (17)	29.5% (28)	1	0.463
	AG	45.6% (31)	49.5% (47)	0.92 (0.43, 1.95)
	GG	29.4% (20)	21.1% (20)	0.60 (0.25, 1.44)
rs2910164 (miR146a)
	GG*	42.6% (29)	48.0% (4)	1	0.782
	GC	47.1% (32)	42.0% (42)	0.79 (0.41, 1.52)
	CC	10.3% (7)	10.0% (10)	0.86 (0.29, 2.51)

Wild homozygous genotype.

CI: confidence interval; miR: microRNA; OR: odds ratio; PCa: prostate cancer; SNP: single nucleotide polymorphisms.

We did not find statistical differences in miR100 and miR146a, as shown by the P-values of 0.463 and 0.782, respectively. The OR also shows that there is no difference in the chance of genotypes appearing in the control group and in the PCa group.

When evaluating only the presence of the polymorphic allele in our two groups, the results were maintained without the statistical difference as determined in Table 2.

Table 2.

Allele distribution of the two polymorphisms between patients with PCa and control group.

SNP	Genotype	Control (n)	PCa (n)	OR (95% CI)	P
rs1834306 (miR100)
	A*	37.8% (17)	62.2% (28)	1	0.529
	G	43.2% (51)	56.8% (67)	0.79 (0.39, 1.61)	0.529
rs2910164 (miR146a)
	G*	37.7% (29)	62.3% (48)	1	0.494
	C	42.9% (39)	57.1% (52)	0.81 (0.43, 1.49)	0.494

Wild allele.

CI: confidence interval; miR: microRNA; OR: odds ratio; PCa: prostate cancer; SNP: single nucleotide polymorphisms.

When we analyzed the patients according to the classic prognostic factors of PCa, some findings were identified. First, we subdivided patients according to preoperative PSA levels into two groups: PSA <10 ng/mL and patients with PSA ⩾ 10 ng/mL. In this comparison, we found statistical significance for the SNP rs1834306 (miR100). The polymorphic homozygous genotype was less present in the group of patients with PSA ⩾10 ng/mL, (OR 0.12; 95% CI 0.01, 1.04; P = 0.03), which is associated with a better prognosis. When we considered only the presence of the polymorphic allele G in the same SNP, we observed that the polymorphic allele was five times less frequent in patients with PSA ⩾10 ng/mL (OR 0.21; 95% CI 0.60, 0.73; P = 0.09) compared to the presence of the wild allele A (Table 3).

Table 3.

SNP genotypes and allele distribution in relation to the preoperative PSA level.

SNP	Genotype	PSA <10 ng/mL (n)	PSA ⩾10 ng/mL (n)	OR (95% CI)	P
rs1834306 (miR100)
	AA*	25.4% (18)	61.5% (8)	1	0.03
	AG	47.9% (34)	30.8% (4)	0.26 (0.07, 1.10)
	GG	26.8% (19)	7.7% (1)	0.12 (0.01, 1.04)
rs2910164 (miR146a)
	GG*	46.7% (35)	50.0% (7)	1	0.868
	GC	41.3% (31)	42.9% (6)	0.97 (0.29, 3.19)
	CC	12.0% (9)	7.1% (1)	0.56 (0.06, 5.11)
rs1834306 (miR100)
	A**	25.4% (18)	61.5% (8)	1	0.009
	G	74.6% (53)	38.5% (5)	0.21 (0.06, 0.73)	0.009
rs2910164 (miR146a)
	G**	46.7% (35)	50.0% (7)	1	0.819
	C	53.3% (40)	50.0% (7)	0.87 (0.28, 2.74)	0.819

Wild homozygous genotype.

Wild allele.

CI: confidence interval; miR: microRNA; OR: odds ratio; PCa: prostate cancer; SNP: single nucleotide polymorphisms.

We analyzed patients diagnosed with PCa and categorized in GS <7 and ⩾7, comparing their genotypes in both SNPs. No statistical significance was identified between these variables. However, when we consider only the presence of the polymorphic allele in the SNPs, we observed that the C polymorphic allele in the SNP rs2910164 G>C, located in miR146A, is more frequent in patients with GS ⩾7 compared to patients with GS <7, shown to be more prevalent in this group (OR 3.19; 95% CI 1.00, 10.15; P = 0.043) (Table 4).

Table 4.

Genotypes and allele distribution in relation to the Gleason score.

SNP	Gleason score			OR (95% CI)	P
rs1834306 (miR100)		<7	⩾7
	AA*	26.7% (4)	31.3% (21)	1	0.671
	AG	40.0% (6)	46.3% (31)	0.98 (0.24, 3.91)
	GG	33.3% (5)	22.4% (15)	0.57 (0.13, 2.49)
rs2910164 (miR146a)
	GG*	68.8% (11)	40.8% (29)	1	0.129
	CG	25.0% (4)	46.5% (33)	3.12 (0.89, 10.90)
	CC	6.3% (1)	12.7% (9)	3.41 (0.38, 30.18)
rs1834306 (miR100)
	A**	26.7% (4)	31.3% (21)	1	0.722
	G	73.3% (11)	68.7% (46)	0.79 (0.23, 2.80)	0.722
rs2910164 (miR146a)	G**	68.8% (11)	40.8% (29)	1	0.043
	C	31.3% (5)	59.2% (42)	3.19 (1.00, 10.15)	0.043

Wild homozygous genotype.

Wild allele.

CI: confidence interval; miR: microRNA; OR: odds ratio; PCa: prostate cancer; SNP: single nucleotide polymorphisms.

When evaluating the expression of miR100 in patients with PCa, we found no significant difference in relation to the control group. However, among patients with PCa, those with the worst prognostic factors, such as pathological staging and biochemical recurrence, (P = 0.004 and P = 0.011, respectively) have a higher expression of miR100 compared to patients with a better prognosis (Figure 1(a)).

Figure 1.

miR100 expression in patients with PCa. (a) Correlation with prognostic factors, with pathological staging, comparing the expression of miR100 in a localized tumor (T2) with locally advanced tumor (T3) and biochemical recurrence, comparing patients who relapsed with those who did not. (b) Expression of miR100 in patients with PCa compared to controls categorized by wild-type homozygous genotypes; polymorphic homozygous and heterozygous.

When we compared the expression of miR100 in relation to SNP genotyping rs1834306, we found no statistical difference in the expression of the miR100 wild homozygote in men with PCa compared to the control group. However, we found a possible tendency of increasing the expression of miR100 in the heterozygous genotype of the control group in patients with PCa (P = 0.09). No difference was found in polymorphic homozygous genotype (Figure 1(b)).

Discussion

In our study, we sought to assess the prevalence of SNPs rs2910164 and rs1834306 in miR146a and miR100, respectively, and their relationship with prognostic variables through patients’ blood analyses with PCa and controls.

We did not find statistically significant association between the SNPs tested in miRs and the presence of PCa. No difference was observed in the frequency of possible genotypes between patients with PCa and the control group. Our findings are in line with those described in the literature for SNP rs2910164 (miR146a),¹² and for SNP rs1834306 (miR100).¹⁰ However, we observed relevant findings associated with the genotypes of patients with PCa and the variables of prognostic determination.

Chen et al.¹³ showed that miR146a is a suppressor among several types of cancers. In a recent review, miR146a was shown to have an important role in the regulation of the T lymphocyte, where its absence results in cell proliferation and activation of the immune system.¹⁴ Consequently, animals with a genetic deletion of miR146a developed chronic inflammatory diseases, with an increased production of myeloid cells, resulting in the development of sarcomas and lymphoma. Thus, miR146a has been characterized as a suppressive miR at least in the context of the immune system.^15,16

In our study, we observed an association between the SNP rs2910164 in miR146a and patients with a GS ⩾7, which is known to be a factor of worse prognosis. This finding allows us to suggest that this SNP may affect the binding of this miR with the target gene or inactivate it, inhibiting the function as a suppressor miR. In a study published in 2018, Damodaran et al.¹¹ investigated the presence of SNP rs2910164 among 100 patients with PCa and 100 controls. When assessing its association with Gleason ⩾7 and PSA at diagnosis, no statistical significance was identified. We believe that the difference in findings could be related to a higher prevalence of the C (polymorphic) allele in the Indian population compared to others, such as American, African, and European. In another similar study, in a Chinese population, a 0.65-fold decreased chance of the occurrence of PCa was identified in those with a CC (polymorphic homozygote) genotype.¹⁷

miR100 is an important diagnostic marker¹⁸ and prognosis estimator¹⁹ of several tumors resulting from the dysregulation or aberrant expression. In addition, new studies demonstrate its ability to re-sensitize tumors to chemotherapy,^20,21 which opens the possibility of becoming a new target against tumors.

Nabavi et al.²² demonstrated that the inhibition of miR100 in metastatic cell lines (LNCaP and DU145) significantly reduced cell proliferation. Therefore, it is concluded that miR100 is necessary for the survival of dormant PCa cells exposed to androgen deprivation.

In our study, miR100 was overexpressed in patients with worse prognostic factors, with statistical significance for pathological staging and biochemical recurrence (P = 0.004 and P = 0.011, respectively). These data demonstrate oncomir behavior. In line with our findings, a study published in 2019 demonstrated that miR100 was under-expressed in patients with low-grade tumors compared to the high-grade group; however, after multivariate analysis there was no statistical significance.²³ This behavior of worse prognosis was also identified by Samli et al.²⁴ who showed an overexpression of miR100 in paclitaxel-resistant VCaP-R and DU145-R cells.

In previous studies, we demonstrated an increase in the expression of miR100 three times in patients who had biochemical recurrence after prostatectomy versus those who did not present recurrence, which would position miR100 as oncomir.²⁵ In this study, we identified the tendency to earlier biochemical recurrence in patients with polymorphic homozygous alleles in both SNPs for miR100 and miR146a, despite the lack of statistical significance. Chen et al.²⁶ analyzed the SNP rs2910164 (miR146a) relationship and biochemical recurrence after radical prostatectomy in 72 men in southern China with an average follow-up of 2 years; 33% (n = 24) of the patients had biochemical recurrence.

The SNP rs1834306 is located in the pri-miR100 region and our findings suggest an association with PSA <10, especially when the presence of the isolated polymorphic allele was evaluated (OR 0.21; 95% CI 0.60, 0.73; P = 0.09). We observed a possible tendency of overexpression of miR100 in control patients who present polymorphism in one of the alleles. Thus, a high expression of this miR is correlated with a worse prognosis; however, the presence of polymorphism in only one of the alleles may have a protective factor for PCa. This finding suggests a better prognosis in the presence of polymorphism. Accordingly, Hu et al.,¹² based on a meta-analysis, suggests that this polymorphism has no relation to the increased risk for cancer. Current studies have demonstrated the absence of an association of this polymorphism with an increased risk of breast tumor and an association with a reduction of squamous esophageal tumor.^27,28

The data in the literature are still scarce regarding the polymorphisms in miRs. This is the first SNP study rs1834306 on miR100 in PCa. Our data showed the impact of SNPs on prognostic factors of the disease, but further studies are needed to clarify the prevalence of these SNPs in different populations as well as the influence of these polymorphisms on target genes, and consequently, the possible impact of this mutation on protein expression.

In conclusion, our data reinforce this hypothesis by the association of SNP rs1834306 with PSA <10, especially when the presence of the isolated polymorphic allele was evaluated.

Footnotes

Declaration of conflicting interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The author Gabriel Fernandes Dias Ferreira received financial support grant #2015/23248-3, Sao Paulo Research Foundation (FAPESP) for this research.

ORCID iD

Renan Eboli Lopes

References

Siegel

Miller

Jemal

Cancer statistics, 2020. CA Cancer J Clin 2020; 70: 7–30.

Bertoli

Cava

Castiglioni

MicroRNAs as biomarkers for diagnosis, prognosis and theranostics in prostate cancer. Int J Mol Sci 2016; 17: 421.

Costa

Pedroso

Lima

MC.

MicroRNAs as molecular targets for cancer therapy: on the modulation of microRNA expression. Pharmaceuticals (Basel) 2013; 6: 1195-1220.

Sun

Zhao

Liu

, et al. miR-146a functions as a tumor suppressor in prostate cancer by targeting Rac1. Prostate 2014; 74: 1613–1621.

Lin

Chiang

Chang

, et al. Loss of mir-146a function in hormone-refractory prostate cancer. RNA 2008; 14: 417–424.

Qin

Huang

Wang

ZX.

Potential role of miR-100 in cancer diagnosis, prognosis, and therapy. Tumour Biol 2015; 36: 1403–1409.

Al Olama

Kote-Jarai

Berndt

, et al. A meta-analysis of 87,040 individuals identifies 23 new susceptibility loci for prostate cancer. Nat Genet 2014; 46: 1103–1109.

Pomerantz

Shrestha

Flavin

, et al. Analysis of the 10q11 cancer risk locus implicates MSMB and NCOA4 in human prostate tumorigenesis. PLoS Genet 2010; 6: e1001204.

Wang

Hayes

, et al. Validation of prostate cancer risk variants rs10993994 and rs7098889 by CRISPR/Cas9 mediated genome editing. Gene 2020: 145265.

10.

Wang

, et al. MicroRNA sequence polymorphisms and the risk of different types of cancer. Sci Rep 2014; 4: 3648.

11.

Bastami

Choupani

Saadatian

, et al. Evidences from a systematic review and meta-analysis unveil the role of MiRNA polymorphisms in the predisposition to female neoplasms. Int J Mol Sci 2019; 20.

12.

Damodaran

Paul

SFD

Venkatesan

Genetic polymorphisms in miR-146a, miR-196a2 and miR-125a genes and its association in prostate cancer. Pathol Oncol Res 2020; 26: 193–200.

13.

Chen

Umelo

, et al. miR-146a inhibits cell growth, cell migration and induces apoptosis in non-small cell lung cancer cells. PLoS One 2013; 8: e60317.

14.

Emming

Chirichella

Monticelli

MicroRNAs as modulators of T cell functions in cancer. Cancer Lett 2018; 430: 172–178.

15.

Boldin

Taganov

Rao

, et al. miR-146a is a significant brake on autoimmunity, myeloproliferation, and cancer in mice. J Exp Med 2011; 208: 1189–1201.

16.

Zhao

Rao

Boldin

, et al. NF-kappaB dysregulation in microRNA-146a-deficient mice drives the development of myeloid malignancies. Proc Natl Acad Sci U S A 2011; 108: 9184–9189.

17.

Feng

, et al. A functional polymorphism in pre-miR-146a gene is associated with prostate cancer risk and mature miR-146a expression in vivo. Prostate 2010; 70: 467–472.

18.

Cazzoli

Buttitta

Di Nicola

, et al. microRNAs derived from circulating exosomes as noninvasive biomarkers for screening and diagnosing lung cancer. J Thorac Oncol 2013; 8: 1156–1162.

19.

Leite

Tomiyama

Reis

, et al. MicroRNA expression profiles in the progression of prostate cancer–from high-grade prostate intraepithelial neoplasia to metastasis. Urol Oncol 2013; 31: 796–801.

20.

Zhu

Wang

Zhang

, et al. MicroRNA-100 resensitizes resistant chondrosarcoma cells to cisplatin through direct targeting of mTOR. Asian Pac J Cancer Prev 2014; 15: 917–923.

21.

Feng

Wang

Chen

LB.

MiR-100 resensitizes docetaxel-resistant human lung adenocarcinoma cells (SPC-A1) to docetaxel by targeting Plk1. Cancer Lett 2012; 317: 184–191.

22.

Salido-Guadarrama

Morales-Montor

Rangel-Escareño

, et al. Urinary microRNA-based signature improves accuracy of detection of clinically relevant prostate cancer within the prostate-specific antigen grey zone. Mol Med Rep 2016; 13: 4549–4560.

23.

Nabavi

Nur Saidy

Venalainen

, et al. MiR-100-5p inhibition induces apoptosis in dormant prostate cancer cells and prevents the emergence of castration-resistant prostate cancer. Sci Rep 2017; 7: 1–10.

24.

Samli

Vatansever

, et al. Paclitaxel resistance and the role of miRNAs in prostate cancer cell lines. World J Urol 2019; 37: 1117–1126.

25.

Leite

Tomiyama

Reis

, et al. MicroRNA-100 expression is independently related to biochemical recurrence of prostate cancer. J Urol 2011; 185: 1118–1122.

26.

Chen

Zhou

Chen

, et al. Effect of miR-146a polymorphism on biochemical recurrence risk after radical prostatectomy in southern Chinese population. Genet Mol Res 2014; 13: 10615–10621.

27.

Zhu

Yang

You

, et al. Genetic variation in miR-100 rs1834306 is associated with decreased risk for esophageal squamous cell carcinoma in Kazakh patients in northwest China. Int J Clin Exp Pathol 2015; 8: 7332–7340.

28.

Danesh

Hashemi

Bizhani

, et al. 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.

The role of single nucleotide polymorphisms of miRNAs 100 and 146a as prognostic factors for prostate cancer

Abstract

Introduction:

Objective:

Methods:

Results:

Conclusions:

Keywords

Introduction

Methods

Patients

Analysis of SNPs

MiR isolation and real time PCR

Statistical analysis

Results

Discussion

Footnotes

Declaration of conflicting interests

Funding

ORCID iD

References