Skip to main content
Erschienen in: BMC Cancer 1/2013

Open Access 01.12.2013 | Research article

A pri-miR-218variant and risk of cervical carcinoma in Chinese women

verfasst von: Ting-Yan Shi, Xiao-Jun Chen, Mei-Ling Zhu, Meng-Yun Wang, Jing He, Ke-Da Yu, Zhi-Ming Shao, Meng-Hong Sun, Xiao-Yan Zhou, Xi Cheng, Xiaohua Wu, Qingyi Wei

Erschienen in: BMC Cancer | Ausgabe 1/2013

Abstract

Background

MicroRNA (miRNA)-related single nucleotide polymorphisms (SNPs) may compromise miRNA binding affinity and modify mRNA expression levels of the target genes, thus leading to cancer susceptibility. However, few studies have investigated roles of miRNA-related SNPs in the etiology of cervical carcinoma.

Methods

In this case–control study of 1,584 cervical cancer cases and 1,394 cancer-free female controls, we investigated associations between two miR-218-related SNPs involved in the LAMB3-miR-218 pathway and the risk of cervical carcinoma in Eastern Chinese women.

Results

We found that the pri-miR-218 rs11134527 variant GG genotype was significantly associated with a decreased risk of cervical carcinoma compared with AA/AG genotypes (adjusted OR=0.77, 95% CI=0.63-0.95, P=0.015). However, this association was not observed for the miR-218 binding site SNP (rs2566) on LAMB3. Using the multifactor dimensionality reduction analysis, we observed some evidence of interactions of these two SNPs with other risk factors, especially age at primiparity and menopausal status, in the risk of cervical carcinoma.

Conclusions

The pri-miR-218 rs11134527 SNP was significantly associated with the risk of cervical carcinoma in Eastern Chinese women. Larger, independent studies are warranted to validate our findings.
Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​1471-2407-13-19) contains supplementary material, which is available to authorized users.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

Conception and design: QW, XW. In-person survey and data collection: XJC, XC, KDY, ZMS, MHS. Genotyping and Provision of study materials: TYS, MLZ, MYW, JH, XYZ. Data analysis and interpretation: TYS, QW. Manuscript writing: TYS, QW, XW. Final approval of manuscript: TYS, XJC, MLZ, MYW, JH, KDY, ZMS, MHS, XYZ, XC, XW, QW. All authors read and approved the final manuscript.
Abkürzungen
miRNA
microRNA
nt
Nucleotide
UTR
Untranslated region
pri-miRNA
Primary miRNA
pre-miRNA
Precursor miRNA
SNP
Single nucleotide polymorphism
SCC
Squamous cell carcinoma
HPV
Human papillomavirus
LAMB3
Laminin 5 β3
FUSCC
Fudan University Shanghai Cancer Center
FIGO
International Federation of Gynecology and Obstetrics
LN
Lymph node
LVSI
Lympho-vascular space invasion
ER
Estrogen receptor
PR
Progesterone receptor
MAF
Minor allele frequency
MDR
Multifactor dimensionality reduction
CVC
Cross-validation consistency
OR
Odds ratio
CI
Confidence interval
BMI
Body mass index
FPRP
False-positive report probability
HWE
Hardy-Weinberg equilibrium
MFE
Minimum free energy

Background

MicroRNAs (miRNAs) are single-stranded 21–23 nucleotide (nt) long endogenous noncoding RNAs that regulate the mRNA expression of numerous target genes [1]. Disregulation of these target genes could alter biological processes as a result of either degradation of target mRNAs or repression of their translation by miRNA binding to their 3-untranslated regions (UTRs) [2]. Accumulated data have shown that the deregulation of miRNAs is involved in cell differentiation, proliferation, apoptosis and carcinogenesis [3]. MiRNAs include primary (pri-), precursor (pre-) and mature miRNA, in which single nucleotide polymorphisms (SNPs) of these miRNAs or in their binding sites on their target genes may compromise miRNA binding affinity and change mRNA expression levels of the target genes, thus leading to cancer susceptibility [4, 5]. Several recent studies have indicated that miRNA-related SNPs, especially those located at miRNA binding sites or miRNAs themselves, can remarkably alter the biogenesis and/or function of the corresponding miRNAs and thus the risk of human cancers [4, 6].
Cervical carcinoma is the third most commonly diagnosed cancer and the fourth leading cause of cancer deaths in women worldwide, accounting for 9% (529,800) of the new cancer cases and 8% (275,100) of the cancer deaths among women in 2008 [7]. More than 85% of these cases and deaths occur in developing countries, including China [7]. Invasive cervical cancer can be divided into two major histological types of squamous cell carcinoma (SCC) and adenocarcinoma, and SCC accounts for about 85% of the cases [8, 9]. A large body of research in molecular epidemiology supports the hypothesis that persistent infection with oncogenic human papillomavirus (HPV), especially high-risk HPV types, is the primary cause of cervical carcinoma, deemed as a necessary cause for the disease [7, 10].
Recent studies have found that the expression levels of miR-218 were associated with infection of high-risk HPV involved in the pathogenesis of cervical cancer [11]. Specifically, in high-risk HPV16-positive cell lines, the upregulation of E6 oncoprotein could reduce the miR-218 expression; in contrast, the RNA interference of E6 oncogene increased the miR-218 expression [12]. Moreover, the Laminin 5 β3 (LAMB3) gene has been found to be one of transcriptional targets of miR-218[12]. LAMB3 was expressed in many epithelial tissues and was involved in tumor microenvironment by increasing carcinoma cell migration [13]. Others reported that LAMB3 might upregulate the expression levels of the HPV16 E6 oncoprotein though miR-218[12]. Therefore, the LAMB3-miR-218 pathway may be involved in the process of high-risk HPV infection and thus contribute to cervical carcinogenesis. However, its intrinsic mechanisms are still unclear. It is likely that miRNAs and related genetic variations may have effects on cancer development [6]. To date, only two reported studies have investigated the associations between three miRNA-related SNPs and the risk of cervical carcinoma [6, 14], two of which (i.e., pri-miR-218 rs11134527 and LAMB3 rs2566) are found to be associated with altered risk of cervical cancer in a Chinese Han population [6]. To further test the hypothesis that miRNA-related SNPs involved in the LAMB3-miR-218 pathway contribute to cervical cancer risk, we performed a case–control study with a much larger sample size to validate the reported associations with cervical cancer risk in Eastern Chinese women.

Methods

Study subjects

The study population consisted of 1,584 cervical carcinoma patients, who had been operated between February 2008 and March 2011 in Fudan University Shanghai Cancer Center (FUSCC). The tumors were histopathologically confirmed independently as primary cervical carcinoma by two gynecologic pathologists as routine diagnosis at FUSCC. An additional 1,394 cancer-free female controls were enrolled from women who had come to the Outpatient Department of Breast Surgery at FUSCC for breast cancer screening and agreed to participate in this study. These female controls, with the selection criteria including no individual history of cancer, were genetically unrelated and frequency matched to the cases on age (± 5 years) and residential areas in Eastern China.
During an in-person survey, all potential subjects were interviewed to identify their willingness to participate in this study. As a result, a response rate for the cases and controls was of approximate 95% and 95%, respectively. Because the vast majority of Chinese women are non-smokers and non-drinkers, our study populations were restricted to women who did not smoke cigarettes or drink alcohol. For the cases, detailed clinico-pathologic information was extracted from the patients′ electronic database of FUSCC, including tumor histology [15], FIGO stage (International Federation of Gynecology and Obstetrics, 2009), tumor size (i.e., the size of the primary tumor was the largest tumor diameter), pelvic lymph node (LN) metastasis, lympho-vascular space invasion (LVSI), depth of cervical stromal invasion and the expression of estrogen receptor (ER) and progesterone receptor (PR). Each participant provided a one-time 10 ml of venous blood sample (after the diagnosis and before the initiation of treatment for the cases), and samples were kept frozen till DNA extraction for genotyping. All samples were obtained from tissue bank of FUSCC. The research was approved by the Institutional Review Board of FUSCC, and a written informed consent was obtained from all recruited individuals. Each clinical investigation was conducted according to the principles expressed in the Declaration of Helsinki consent.

SNP selection and genotyping

The SNPs were selected from the NCBI dbSNP database (http://​www.​ncbi.​nlm.​nih.​gov/​projects/​SNP) and the International HapMap Project database (http://​hapmap.​ncbi.​nlm.​nih.​gov/​) based on four criteria: 1) located at the pri-miR-218 gene region or 3-UTR of the LAMB3 gene, 2) minor allele frequency (MAF) ≥ 5% in Chinese Han populations, 3) with low linkage disequilibrium by using an r 2 threshold of < 0.8 for each other, and 4) predicted as potentially functional SNPs by SNP function prediction (FuncPred) software from National Institute of Environmental Health Sciences (http://​snpinfo.​niehs.​nih.​gov/​snpfunc.​htm). As a result, only two reported SNPs (i.e., pri-miR-218 rs11134527 and LAMB3 rs2566) were selected, because pri-miR-218 rs11134527 was predicted to be functional and LAMB3 rs2566 was the only one SNP residing in the miR-218 binding site. Genomic DNA was obtained from the whole blood, and the Taqman assay was performed for genotyping, as described previously [16, 17]. Four negative controls (without DNA template), duplicated positive controls and eight repeat samples were included in each 384-fomate for the quality control. As a result, the mean genotyping rate was 99.3%, and the discrepancy rate in all positive controls (i.e., duplicated samples, overlapping samples from previous studies and samples randomly selected to be sequenced) was less than 0.1%.

Multifactor dimensionality reduction (MDR) analysis

To further explore high-order gene-environment interactions that were individually involved in cervical cancer risk, we performed the MDR analysis, as described previously [17, 18]. This approach was used to find the main factor and the combination of multiple factors (in this case, SNPs and environmental risk factors) that were significantly associated with cancer risk. As a result, the model that minimized the prediction error and maximized the cross-validation consistency (CVC) was chosen. To reduce the probability of bias, we used different random seeds to repeat the complete analysis for 10 times, and permutated the status of cases and controls in the data set then repeated the test 1000 times under the null hypothesis of no association. This analysis was performed by using the MDR V2.0 beta 8.2 program (http://​www.​multifactordimen​sionalityreducti​on.​org/​).

Statistical analysis

The differences in selected variables between cervical carcinoma cases and female controls were evaluated by the Pearson's χ2-test. The associations of genotypes with the risk of cervical carcinoma were estimated by computing odds ratios (ORs) and their 95% confidence intervals (CIs) from both univariate and multivariate logistic regression models, with or without adjustment for age, age at primiparity, menopausal status and body mass index (BMI) [19]. The associations of SNP genotypes with cervical carcinoma risk were also stratified by demographic and clinico-pathologic variables. We also performed homogeneity test and logistic regression analysis to estimate and compare the risks between the strata and interactions between two factors, respectively. For all significant genetic effects observed in our study, we calculated the false-positive report probability (FPRP) with prior probabilities of 0.0001, 0.001, 0.01, 0.1 and 0.25 to test for false-positive associations [20]. A FPRP value < 0.2 was considered a noteworthy and indicated a remained robust association for a given prior probability. Statistical power was estimated to detect an OR of 1.50/0.67 (for a risk/protective effect), with an α level equal to the observed P value [20]. All statistical analyses were performed with SAS software (version 9.1; SAS Institute, Cary, NC), unless stated otherwise. All P values were two-sided with a significance level of P < 0.05.

Results

Among all studied subjects, 19 cases and three controls failed to be genotyped after repeated assays. Thus, the final analysis included 1,565 cases and 1,391 controls. As showed in Additional file 1: Table S1, there were no significant differences in the distributions of age between the cases and the controls with similar mean ages of 45.8 (± 9.8) and 46.1 (± 8.9) years, respectively (P=0.226). The cases were more likely to be premenopausal (72.5% vs. 60.5%), thinner (BMI < 25 kg/m2, 78.2% vs. 65.9%) and younger at primiparity (≤ 24 yr, 63.2% vs. 51.0%) than the controls. Because the differences in age at primiparity, menopausal status and BMI were significant between cases and controls (all P<0.001), these variables were further adjusted for any residual confounding effect in later multivariate logistic regression analyses.
The genotype frequencies of the pri-miR-218 rs11134527 and LAMB3 rs2566 SNPs as well as their associations with the risk of cervical carcinoma are summarized in Table 1. All observed genotype distributions in the 1,391 controls agreed with the Hardy-Weinberg equilibrium (HWE, P=0.083 and 0.094 for rs11134527 and rs2566, respectively). In the recessive genetic model, the pri-miR-218 rs11134527 variant GG genotype was significantly associated with a decreased risk of cervical carcinoma compared with the AA and AA/AG genotypes (adjusted OR=0.79 and 0.77, 95% CI=0.63-0.99 and 0.63-0.95, P=0.039 and 0.015, respectively). However, this association was not observed for the LAMB3 rs2566 SNP.
Table 1
Logistic regression analysis of associations between genotypes of the LAMB3-miR-218 pathway and cervical cancer risk
Variants Genotypes
Cases
Controls
P*
Crude OR
P
Adjusted OR
P**
 
(N=1565)
(N=1391)
 
(95% CI)
 
(95%CI)
 
pri-miR-218 rs11134527
       
AA
588 (37.6)
512 (36.8)
0.085
1.00
 
1.00
 
AG
752 (48.1)
638 (45.9)
 
1.03 (0.88-1.20)
0.748
1.03 (0.87-1.22)
0.705
GG
225 (14.4)
241 (17.3)
 
0.81 (0.65-1.01)
0.061
0.79 (0.63-0.99)
0.039
AG/GG
977 (62.4)
879 (63.2)
0.668a
0.97 (0.83-1.12)
0.668
0.96 (0.82-1.13)
0.648
Additive model
   
0.93 (0.84-1.03)
0.148
0.92 (0.82-1.02)
0.111
Recessive model
  
0.028 b
0.80 (0.66-0.98)
0.028
0.77 (0.63-0.95)
0.015
LAMB3 rs2566
       
CC
667 (42.6)
570 (41.0)
0.431
1.00
 
1.00
 
CT
709 (45.3)
663 (47.7)
 
0.91 (0.78-1.07)
0.252
0.89 (0.76-1.05)
0.165
TT
189 (12.1)
158 (11.4)
 
1.02 (0.81-1.30)
0.857
0.94 (0.73-1.21)
0.642
CT/TT
898 (57.4)
821 (59.0)
0.366a
0.94 (0.81-1.08)
0.367
0.90 (0.77-1.05)
0.186
Additive model
   
0.98 (0.88-1.09)
0.707
0.94 (0.84-1.06)
0.325
Recessive model
  
0.545b
1.07 (0.86-1.34)
0.546
1.00 (0.79-1.27)
1.000
OR, odds ratio; CI, confidence interval.
* χ 2 test for genotype distributions between cases and controls;
** Adjusted for age, age at primiparity, menopausal status, BMI in logistic regression models;
a for dominant genetic models;
b for recessive genetic models.
The results were in bold, if P < 0.05.
In stratification analyses, as showed in Table 2, under a recessive genetic model, a decreased cervical carcinoma risk associated with the pri-miR-218 rs11134527 GG genotype was more evident in women who were younger at primiparity (≤ 24 yr, adjusted OR=0.73, 95% CI=0.56-0.96, P=0.022) or premenopausal (adjusted OR=0.73, 95% CI=0.57-0.94, P=0.013), which was also observed for subgroups of SCC, FIGO stage I, stage II, positive pelvic LN, positive LVSI, deep cervical stromal invasion (> 1/2) and negative expression of ER and PR (P=0.008, 0.008, 0.028, 0.002, 0.008, 0.022, 0.011 and 0.014, respectively). However, homogeneity tests suggested that there was no difference in risk estimates between the strata (Table 2), and no statistical evidence for interactions between the genotypes and these variables on the risk of cervical carcinoma (Additional file 1: Table S2).
Table 2
Stratification analysis for associations between genotypes of the LAMB3-miR-218 pathway and cervical cancer risk in the recessive genetic model
Variables
rs11134527
Adjusted OR* (95% CI)
P*
P**
rs2566
Adjusted OR* (95% CI)
P*
P**
(cases/controls)
(cases/controls)
AA/AG
GG
CC/CT
TT
Age, years
          
≤46 (Mean)
747/623
136/131
0.84 (0.64-1.11)
0.215
0.364
774/669
109/85
1.02 (0.74-1.40)
0.919
0.740
>46 (Mean)
593/527
89/110
0.77 (0.56-1.06)
0.111
 
602/564
80/73
1.00 (0.69-1.45)
0.995
 
Age at primiparity, years
          
≤24 (Mean)
797/568
136/131
0.73 (0.56-0.96)
0.022
0.452
822/625
111/74
1.12 (0.82-1.54)
0.482
0.460
>24 (Mean)
468/566
76/106
0.86 (0.62-1.20)
0.386
 
481/591
63/81
0.91 (0.63-1.32)
0.621
 
Menopausal status
          
Premenopausal
962/685
164/155
0.73 (0.57-0.94)
0.013
0.425
986/743
140/97
1.00 (0.75-1.34)
0.981
0.635
Postmenopausal
366/463
61/86
0.90 (0.62-1.32)
0.600
 
381/488
46/61
1.09 (0.70-1.70)
0.696
 
BMI, kg/m 2
          
< 25
1026/759
175/157
0.79 (0.62-1.00)
0.054
0.715
1061/810
140/106
1.00 (0.75-1.32)
0.973
0.739
≥ 25
288/390
47/84
0.74 (0.50-1.12)
0.152
 
295/422
40/52
1.02 (0.64-1.63)
0.939
 
Histology
          
CINIII
129/1150
32/241
1.06 (0.68-1.66)
0.789
0.169
137/1233
24/158
1.32 (0.80-2.16)
0.274
0.409
SCC
1068/1150
170/241
0.74 (0.59-0.92)
0.008
 
1096/1233
142/158
0.95 (0.73-1.22)
0.673
 
Non-squamous
138/1150
23/241
0.75 (0.46-1.22)
0.240
 
138/1233
23/158
1.18 (0.71-1.96)
0.526
 
FIGO stage
          
I
633/1150
97/241
0.70 (0.53-0.91)
0.008
0.796
645/1233
85/158
0.94 (0.70-1.27)
0.689
0.341
II
464/1150
75/241
0.72 (0.54-0.97)
0.028
 
478/1233
61/158
0.96 (0.69-1.35)
0.830
 
III~IV
43/1150
5/241
0.43 (0.15-1.28)
0.129
 
39/1233
9/158
1.97 (0.83-4.71)
0.126
 
Tumor size, cm
          
< 4
801/1150
139/241
0.78 (0.61-0.99)
0.043
0.695
840/1233
100/158
0.88 (0.66-1.16)
0.365
0.100
≥ 4
428/1150
69/241
0.71 (0.53-0.97)
0.031
 
426/1233
71/158
1.25 (0.91-1.72)
0.176
 
Pelvic LN
          
Negative
965/1150
174/241
0.83 (0.66-1.04)
0.098
0.095
1002/1233
137/158
1.00 (0.77-1.29)
0.970
0.819
Positive
309/1150
39/241
0.55 (0.37-0.80)
0.002
 
308/1233
40/158
0.96 (0.64-1.42)
0.828
 
LVSI
          
Negative
750/1150
132/241
0.80 (0.63-1.02)
0.073
0.305
783/1233
99/158
0.93 (0.70-1.24)
0.632
0.379
Positive
390/1150
56/241
0.64 (0.46-0.89)
0.008
 
387/1233
59/158
1.06 (0.75-1.50)
0.755
 
Depth of cervical stromal invasion
          
≤ 1/2
584/1150
99/241
0.75 (0.57-0.98)
0.037
0.898
598/1233
85/158
1.08 (0.81-1.45)
0.602
0.709
> 1/2
670/1150
111/241
0.74 (0.57-0.96)
0.022
 
690/1233
91/158
0.94 (0.70-1.26)
0.660
 
ER expression
          
Negative
647/1150
102/241
0.71 (0.55-0.92)
0.011
0.146
671/1233
78/158
0.85 (0.62-1.15)
0.289
0.365
Positive
50/1150
13/241
1.01 (0.51-1.98)
0.982
 
54/1233
9/158
1.35 (0.65-2.81)
0.428
 
PR expression
          
Negative
677/1150
110/241
0.73 (0.56-0.94)
0.014
0.407
703/1233
84/158
0.87 (0.65-1.18)
0.370
0.836
Positive
20/1150
5/241
0.94 (0.32-2.80)
0.911
 
22/1233
3/158
1.13 (0.33-3.84)
0.851
 
OR, odds ratio; CI, confidence interval; BMI, body mass index; FIGO, International Federation of Gynecology and Obstetrics; CIN, cervical intraepithelial neoplasia; SCC, squamous cell carcinoma; LN, lymph node; LVSI, lympho-vascular space invasion; ER, estrogen receptor; PR, progesterone receptor.
* Logistic regression models with adjustment for age, age at primiparity, menopausal status and BMI;
** Homogeneity test.
The results were in bold, if P < 0.05.
We calculated the FPRP values for all the observed significant associations. When the assumption of prior probability was 0.1, the association with the pri-miR-218 rs11134527 (GG vs. AA/AG) was still noteworthy in subgroups of premenopausal, SCC, FIGO stage I and positive pelvic LN (FPRP=0.189, 0.111, 0.163 and 0.153, respectively) (Additional file 1: Table S3).
To further explore whether the pri-miR-218 rs11134527 variant could alter the local second structure of the pri-miR-218 mRNA, we performed the RNAfold online tool that is an online RNA secondary structure prediction software based on the minimum free energy (MFE) and found that the MFE changed from −182.5 kcal/mol to −126.0 kcal/mol when the nucleotide at the pri-miR-218 rs11134527 locus changed from A to G (Figure 1).
Moreover, using the MDR analysis and including these two SNPs and three risk factors, we found that age at primiparity was the best one-factor model with the highest CVC (100%) and the lowest prediction error (43.2%) among all five discrete factors. Intriguingly, the five-factor model had a maximum CVC (100%) and a minimum prediction error (38.6%), which showed a better prediction than one factor (Table 3).
Table 3
MDR analysis for the cervical cancer risk prediction with and without LAMB3-miR-218 pathway genotypes
Number of risk factors
Best interaction models by MDR analysis
Cross- validation
Average prediction error
Pfor permutation test
1
age at primiparity
100/100
43.2%
<.0001
2
age at primiparity, BMI
100/100
40.4%
<.0001
3
age at primiparity, menopausal status, BMI
100/100
39.2%
<.0001
4
age at primiparity, menopausal status, BMI, rs2566
83/100
39.2%
<.0001
5
age at primiparity, menopausal status, BMI, rs11134527, rs2566
100/100
38.6%
<.0001
MDR, multifactor dimensionality reduction.
The multi-locus model with maximum cross-validation consistency and minimum prediction error rate is indicated in bold.

Discussion

In this relatively large hospital-based case–control study of 1,584 cervical cancer cases and 1,394 cancer-free female controls, we validated two previously reported significant miRNA-related SNPs involved in the LAMB3-miR-218 pathway for the risk of cervical carcinoma in Chinese populations [6]. We found that the pri-miR-218 rs11134527 variant GG genotype was significantly associated with a decreased risk of cervical carcinoma compared with the AA and AA/AG genotypes, and our sample size had a statistical power of 94.9% to detect such an association. Further RNAfold prediction analysis showed a MFE changed from −182.5 kcal/mol to −126.0 kcal/mol, when the nucleotide at the pri-miR-218 rs11134527 locus changed from A to G, indicating that this variant may act as a functional SNP, which affects the miRNA binding process and contributes to cervical cancer susceptibility. However, for the other SNP (i.e., LAMB3 rs2566), our data did not have statistical evidence to support its association with cervical cancer risk. Our sample size had 100% statistical power to detect an OR of 1.57 that was reported by Zhou et al. [6]. The inconsistency for the LAMB3 rs2566 SNP between Zhou’s study and ours may be caused by differences in selection of subjects, different catchments of the hospitals and residential regions as well as different sample sizes.
Recent studies have demonstrated that miRNAs may function as tumor suppressors and/or oncogenes in human cancers [21, 22], because elevated or decreased expression of miRNAs has been found in various tumor types, which may alter the regulation of mRNA expression. It is of note that miRNAs regulate gene expression by the sequence-specific binding to the target mRNA, and these binding processes may be affected by SNPs located in the miRNA complementary site [23]. Therefore, it is important to understand the functional and evolutionary significance of related genetic variations in determining expression of miRNAs and mRNAs that interact with each other as well as with environmental risk factors in the related biological processes [23, 24].
It is well known that genetic variants may modify cancer risk associated with environmental factors. Although there were no two-factor interactions between genotypes and environmental factors, using the MDR analysis [18], we further explored high-order multiple-factor interactions in associations with cervical cancer risk and found that age at primiparity was the strongest risk predictor among all the risk factors considered. Meanwhile, the interaction between the variant genotypes and other risk factors appeared to modify the risk of cervical carcinoma, with the five-factor model being the best model.
MiR-218, is encoded by an intron of the SLIT2 tumor suppressor gene [25], is known to be associated with the development and progression of several cancers [21, 22]. The decreased level of the miR-218 expression has been observed in cancers of the breast, ovary, lung and stomach [22, 26, 27], and its low expression level was also correlated with tumor stage, LN metastasis and poor prognosis in gastric cancer [27]. Recently, Martinez et al. reported a decreased expression level of miR-218 (> 2 fold) in HPV-16 or 18 positive cervical cancer cell lines (i.e., SiHa, CaSki and HeLa) as well as in cervical tumor tissues [12]. They also demonstrated miR-218 as a specific cellular target of high-risk HPV types [12], suggesting that the down-regulation of miR-218 is likely linked to the process of HPV-associated tumorgenesis. Based on the Microcosm Targets tool software (http://​www.​ebi.​ac.​uk/​enright-srv/​microcosm/​), the mature miR-218 was found to have an effect on the mRNA expression regulation through more than 900 target genes, including LAMB3[12], RICTOR[28], ROBO1[27] and BIRC5[29], that may play important roles in cervical carcinogenesis. These genes were reported to participate in a number of cancer signaling pathways, such as the Wnt/β-catenin, ERK/MAPK and Notch pathways [30]. Laminin-5 has been found as a sensitive marker of early invasion of cervical lesions [31]. LAMB3 that expressed in many epithelial tissues could induce carcinogenesis by increasing carcinoma cell migration and disturbing tumor microenvironment [13]. Moreover, LAMB3 increased expression levels of the HPV16 E6 oncoprotein in cervical cancer cells and this process might be mediated by miR-218[12], which indicates a possible mechanism of the LAMB3-miR-218 pathway involved in the development of cervical carcinoma.
It is known that the mRNA secondary structure is critical for mRNA-miRNA interactions and gene functions [32]. To investigate whether the pri-miR-218 rs11134527 SNP could alter the local second structure of the pri-miR-218 mRNA, we performed the RNAfold prediction analysis and found an obviously changed mRNA structure from rs11134527 allele A to G. These findings further suggest that germline genetic variations of pri-miR-218, such as rs11134527, may lead to an alteration of miR-218 expression and affect the miRNA binding process and thus are associated with cervical cancer susceptibility.
Several limitations of our study need to be addressed. Firstly, this hospital-based case–control study may have selection bias and information bias, which may be minimized by frequency-matching cases and controls as well as the adjustment for potential confounding factors in the final analyses. Secondly, only two miR-218-related SNPs involved in the LAMB3-miR-218 pathway (i.e., one in pri-miR-218 and the other in miR-218 binding site) were investigated in this study. Cancer is a complex and multifactorial disease, and any single SNP may not be sufficient for the prediction of the overall risk [33]. Future studies should include more genes and more SNPs, especially functional ones, associated with cervical cancer risk. Finally, we did not have enough information on other risk factors, especially HPV infection. This was because the hospital did not perform HPV and related subtype detection for the diagnosis of all cervical cancer cases, let alone for the female controls. A recent meta-analysis found that high-risk HPV16, 18 and 45 types accounted for a greater or equal proportion of HPV infections in cervical cancer, but not other high-risk HPV types, such as HPV33, 51 and 58 [34]. Therefore, HPV types could be confounders in estimating the risk associated with genetic factors.

Conclusions

In summary, in the current case–control study of 1,584 cases and 1,394 controls, we found that the pri-miR-218 rs11134527 SNP was associated with the risk of cervical carcinoma in Eastern Chinese women. Our findings suggest some possible interactions between genetic variations involved in the LAMB3-miR-218 pathway and other risk factors for cervical carcinoma. However, well-designed prospective studies with larger sample sizes are required to validate our findings.

Acknowledgements

This study was supported by the funds from “China’s Thousand Talents Program” Recruitment at Fudan University and by the Shanghai Committee of Science and Technology, China (Grant No.12DZ2260100). We would like to thank Yu-Hu Xin and Hong-Yu Gu from FUSCC for the technical support.
Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( https://​creativecommons.​org/​licenses/​by/​2.​0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

Conception and design: QW, XW. In-person survey and data collection: XJC, XC, KDY, ZMS, MHS. Genotyping and Provision of study materials: TYS, MLZ, MYW, JH, XYZ. Data analysis and interpretation: TYS, QW. Manuscript writing: TYS, QW, XW. Final approval of manuscript: TYS, XJC, MLZ, MYW, JH, KDY, ZMS, MHS, XYZ, XC, XW, QW. All authors read and approved the final manuscript.
Literatur
1.
Zurück zum Zitat Lewis BP, Burge CB, Bartel DP: Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets. Cell. 2005, 120 (1): 15-20. 10.1016/j.cell.2004.12.035.CrossRefPubMed Lewis BP, Burge CB, Bartel DP: Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets. Cell. 2005, 120 (1): 15-20. 10.1016/j.cell.2004.12.035.CrossRefPubMed
2.
Zurück zum Zitat Zamore PD, Haley B: Ribo-gnome: the big world of small RNAs. Science. 2005, 309 (5740): 1519-1524. 10.1126/science.1111444.CrossRefPubMed Zamore PD, Haley B: Ribo-gnome: the big world of small RNAs. Science. 2005, 309 (5740): 1519-1524. 10.1126/science.1111444.CrossRefPubMed
3.
Zurück zum Zitat Bartel DP: MicroRNAs: genomics, biogenesis, mechanism, and function. Cell. 2004, 116 (2): 281-297. 10.1016/S0092-8674(04)00045-5.CrossRefPubMed Bartel DP: MicroRNAs: genomics, biogenesis, mechanism, and function. Cell. 2004, 116 (2): 281-297. 10.1016/S0092-8674(04)00045-5.CrossRefPubMed
4.
Zurück zum Zitat Liu Z, Wei S, Ma H, Zhao M, Myers JN, Weber RS, Sturgis EM, Wei Q: A functional variant at the miR-184 binding site in TNFAIP2 and risk of squamous cell carcinoma of the head and neck. Carcinogenesis. 2011, 32 (11): 1668-1674. 10.1093/carcin/bgr209.CrossRefPubMedPubMedCentral Liu Z, Wei S, Ma H, Zhao M, Myers JN, Weber RS, Sturgis EM, Wei Q: A functional variant at the miR-184 binding site in TNFAIP2 and risk of squamous cell carcinoma of the head and neck. Carcinogenesis. 2011, 32 (11): 1668-1674. 10.1093/carcin/bgr209.CrossRefPubMedPubMedCentral
5.
Zurück zum Zitat Chen AX, Yu KD, Fan L, Li JY, Yang C, Huang AJ, Shao ZM: Germline genetic variants disturbing the Let-7/LIN28 double-negative feedback loop alter breast cancer susceptibility. PLoS Genet. 2011, 7 (9): e1002259-10.1371/journal.pgen.1002259.CrossRefPubMedPubMedCentral Chen AX, Yu KD, Fan L, Li JY, Yang C, Huang AJ, Shao ZM: Germline genetic variants disturbing the Let-7/LIN28 double-negative feedback loop alter breast cancer susceptibility. PLoS Genet. 2011, 7 (9): e1002259-10.1371/journal.pgen.1002259.CrossRefPubMedPubMedCentral
6.
Zurück zum Zitat Zhou X, Chen X, Hu L, Han S, Qiang F, Wu Y, Pan L, Shen H, Li Y, Hu Z: Polymorphisms involved in the miR-218-LAMB3 pathway and susceptibility of cervical cancer, a case–control study in Chinese women. Gynecol Oncol. 2010, 117 (2): 287-290. 10.1016/j.ygyno.2010.01.020.CrossRefPubMed Zhou X, Chen X, Hu L, Han S, Qiang F, Wu Y, Pan L, Shen H, Li Y, Hu Z: Polymorphisms involved in the miR-218-LAMB3 pathway and susceptibility of cervical cancer, a case–control study in Chinese women. Gynecol Oncol. 2010, 117 (2): 287-290. 10.1016/j.ygyno.2010.01.020.CrossRefPubMed
7.
Zurück zum Zitat Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D: Global cancer statistics. CA Cancer J Clin. 2011, 61 (2): 69-90. 10.3322/caac.20107.CrossRefPubMed Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D: Global cancer statistics. CA Cancer J Clin. 2011, 61 (2): 69-90. 10.3322/caac.20107.CrossRefPubMed
8.
Zurück zum Zitat Tjalma WAA, Van Waes TR, Van den Eeden LEM, Bogers JJPM: Role of human papillomavirus in the carcinogenesis of squamous cell carcinoma and adenocarcinoma of the cervix. Best Practice; Res Clinical Obstetrics; Gynaecol. 2005, 19 (4): 469-483. 10.1016/j.bpobgyn.2005.02.002.CrossRef Tjalma WAA, Van Waes TR, Van den Eeden LEM, Bogers JJPM: Role of human papillomavirus in the carcinogenesis of squamous cell carcinoma and adenocarcinoma of the cervix. Best Practice; Res Clinical Obstetrics; Gynaecol. 2005, 19 (4): 469-483. 10.1016/j.bpobgyn.2005.02.002.CrossRef
9.
Zurück zum Zitat Green J, Berrington De Gonzalez A, Sweetland S, Beral V, Chilvers C, Crossley B, Deacon J, Hermon C, Jha P, Mant D: Risk factors for adenocarcinoma and squamous cell carcinoma of the cervix in women aged 20–44 years: the UK National Case–control Study of Cervical Cancer. Br J Cancer. 2003, 89 (11): 2078-2086. 10.1038/sj.bjc.6601296.CrossRefPubMedPubMedCentral Green J, Berrington De Gonzalez A, Sweetland S, Beral V, Chilvers C, Crossley B, Deacon J, Hermon C, Jha P, Mant D: Risk factors for adenocarcinoma and squamous cell carcinoma of the cervix in women aged 20–44 years: the UK National Case–control Study of Cervical Cancer. Br J Cancer. 2003, 89 (11): 2078-2086. 10.1038/sj.bjc.6601296.CrossRefPubMedPubMedCentral
10.
Zurück zum Zitat Walboomers JM, Jacobs MV, Manos MM, Bosch FX, Kummer JA, Shah KV, Snijders PJ, Peto J, Meijer CJ, Munoz N: Human papillomavirus is a necessary cause of invasive cervical cancer worldwide. J Pathol. 1999, 189 (1): 12-19. 10.1002/(SICI)1096-9896(199909)189:1<12::AID-PATH431>3.0.CO;2-F.CrossRefPubMed Walboomers JM, Jacobs MV, Manos MM, Bosch FX, Kummer JA, Shah KV, Snijders PJ, Peto J, Meijer CJ, Munoz N: Human papillomavirus is a necessary cause of invasive cervical cancer worldwide. J Pathol. 1999, 189 (1): 12-19. 10.1002/(SICI)1096-9896(199909)189:1<12::AID-PATH431>3.0.CO;2-F.CrossRefPubMed
11.
Zurück zum Zitat Li Y, Liu J, Yuan C, Cui B, Zou X, Qiao Y: High-risk human papillomavirus reduces the expression of microRNA-218 in women with cervical intraepithelial neoplasia. J Int Med Res. 2011, 38 (5): 1730-1736.CrossRef Li Y, Liu J, Yuan C, Cui B, Zou X, Qiao Y: High-risk human papillomavirus reduces the expression of microRNA-218 in women with cervical intraepithelial neoplasia. J Int Med Res. 2011, 38 (5): 1730-1736.CrossRef
12.
Zurück zum Zitat Martinez I, Gardiner AS, Board KF, Monzon FA, Edwards RP, Khan SA: Human papillomavirus type 16 reduces the expression of microRNA-218 in cervical carcinoma cells. Oncogene. 2008, 27 (18): 2575-2582. 10.1038/sj.onc.1210919.CrossRefPubMed Martinez I, Gardiner AS, Board KF, Monzon FA, Edwards RP, Khan SA: Human papillomavirus type 16 reduces the expression of microRNA-218 in cervical carcinoma cells. Oncogene. 2008, 27 (18): 2575-2582. 10.1038/sj.onc.1210919.CrossRefPubMed
13.
Zurück zum Zitat Marinkovich MP: Tumour microenvironment: laminin 332 in squamous-cell carcinoma. Nat Rev Cancer. 2007, 7 (5): 370-380. 10.1038/nrc2089.CrossRefPubMed Marinkovich MP: Tumour microenvironment: laminin 332 in squamous-cell carcinoma. Nat Rev Cancer. 2007, 7 (5): 370-380. 10.1038/nrc2089.CrossRefPubMed
14.
Zurück zum Zitat Reshmi G, Surya R, Jissa VT, Babu PS, Preethi NR, Santhi WS, Jayaprakash PG, Pillai MR: C-T variant in a miRNA target site of BCL2 is associated with increased risk of human papilloma virus related cervical cancer–an in silico approach. Genomics. 2011, 98 (3): 189-193. 10.1016/j.ygeno.2011.06.005.CrossRefPubMed Reshmi G, Surya R, Jissa VT, Babu PS, Preethi NR, Santhi WS, Jayaprakash PG, Pillai MR: C-T variant in a miRNA target site of BCL2 is associated with increased risk of human papilloma virus related cervical cancer–an in silico approach. Genomics. 2011, 98 (3): 189-193. 10.1016/j.ygeno.2011.06.005.CrossRefPubMed
16.
Zurück zum Zitat He J, Qiu LX, Wang MY, Hua RX, Zhang RX, Yu HP, Wang YN, Sun MH, Zhou XY, Yang YJ: Polymorphisms in the XPG gene and risk of gastric cancer in Chinese populations. Hum Genet. 2012, 131 (7): 1235-1244. 10.1007/s00439-012-1152-8.CrossRefPubMed He J, Qiu LX, Wang MY, Hua RX, Zhang RX, Yu HP, Wang YN, Sun MH, Zhou XY, Yang YJ: Polymorphisms in the XPG gene and risk of gastric cancer in Chinese populations. Hum Genet. 2012, 131 (7): 1235-1244. 10.1007/s00439-012-1152-8.CrossRefPubMed
17.
Zurück zum Zitat Shi TY, Zhu ML, He J, Wang MY, Li QX, Zhou XY, Sun MH, Shao ZM, Yu KD, Cheng X: Polymorphisms of the Interleukin 6 gene contribute to cervical cancer susceptibility in Eastern Chinese women. Hum Genet. 2012, 10.1007/s00439-012-1245-4. Shi TY, Zhu ML, He J, Wang MY, Li QX, Zhou XY, Sun MH, Shao ZM, Yu KD, Cheng X: Polymorphisms of the Interleukin 6 gene contribute to cervical cancer susceptibility in Eastern Chinese women. Hum Genet. 2012, 10.1007/s00439-012-1245-4.
18.
Zurück zum Zitat Ritchie MD, Hahn LW, Roodi N, Bailey LR, Dupont WD, Parl FF, Moore JH: Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer. Am J Hum Genet. 2001, 69 (1): 138-147. 10.1086/321276.CrossRefPubMedPubMedCentral Ritchie MD, Hahn LW, Roodi N, Bailey LR, Dupont WD, Parl FF, Moore JH: Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer. Am J Hum Genet. 2001, 69 (1): 138-147. 10.1086/321276.CrossRefPubMedPubMedCentral
20.
Zurück zum Zitat Wacholder S, Chanock S, Garcia-Closas M, El Ghormli L, Rothman N: Assessing the probability that a positive report is false: an approach for molecular epidemiology studies. J Natl Cancer Inst. 2004, 96 (6): 434-442. 10.1093/jnci/djh075.CrossRefPubMed Wacholder S, Chanock S, Garcia-Closas M, El Ghormli L, Rothman N: Assessing the probability that a positive report is false: an approach for molecular epidemiology studies. J Natl Cancer Inst. 2004, 96 (6): 434-442. 10.1093/jnci/djh075.CrossRefPubMed
21.
Zurück zum Zitat Calin GA, Croce CM: MicroRNA-cancer connection: the beginning of a new tale. Cancer Res. 2006, 66 (15): 7390-7394. 10.1158/0008-5472.CAN-06-0800.CrossRefPubMed Calin GA, Croce CM: MicroRNA-cancer connection: the beginning of a new tale. Cancer Res. 2006, 66 (15): 7390-7394. 10.1158/0008-5472.CAN-06-0800.CrossRefPubMed
22.
Zurück zum Zitat Zhang L, Huang J, Yang N, Greshock J, Megraw MS, Giannakakis A, Liang S, Naylor TL, Barchetti A, Ward MR: microRNAs exhibit high frequency genomic alterations in human cancer. Proc Natl Acad Sci USA. 2006, 103 (24): 9136-9141. 10.1073/pnas.0508889103.CrossRefPubMedPubMedCentral Zhang L, Huang J, Yang N, Greshock J, Megraw MS, Giannakakis A, Liang S, Naylor TL, Barchetti A, Ward MR: microRNAs exhibit high frequency genomic alterations in human cancer. Proc Natl Acad Sci USA. 2006, 103 (24): 9136-9141. 10.1073/pnas.0508889103.CrossRefPubMedPubMedCentral
23.
Zurück zum Zitat Saunders MA, Liang H, Li WH: Human polymorphism at microRNAs and microRNA target sites. Proc Natl Acad Sci USA. 2007, 104 (9): 3300-3305. 10.1073/pnas.0611347104.CrossRefPubMedPubMedCentral Saunders MA, Liang H, Li WH: Human polymorphism at microRNAs and microRNA target sites. Proc Natl Acad Sci USA. 2007, 104 (9): 3300-3305. 10.1073/pnas.0611347104.CrossRefPubMedPubMedCentral
24.
Zurück zum Zitat Cho WC: Recent progress in genetic variants associated with cancer and their implications in diagnostics development. Expert Rev Mol Diagn. 2010, 10 (6): 699-703. 10.1586/erm.10.64.CrossRefPubMed Cho WC: Recent progress in genetic variants associated with cancer and their implications in diagnostics development. Expert Rev Mol Diagn. 2010, 10 (6): 699-703. 10.1586/erm.10.64.CrossRefPubMed
25.
Zurück zum Zitat Griffiths-Jones S, Grocock RJ, Van Dongen S, Bateman A, Enright AJ: miRBase: microRNA sequences, targets and gene nomenclature. Nucleic Acids Res. 2006, 34 (Database issue): D140-144.CrossRefPubMed Griffiths-Jones S, Grocock RJ, Van Dongen S, Bateman A, Enright AJ: miRBase: microRNA sequences, targets and gene nomenclature. Nucleic Acids Res. 2006, 34 (Database issue): D140-144.CrossRefPubMed
26.
Zurück zum Zitat Yanaihara N, Caplen N, Bowman E, Seike M, Kumamoto K, Yi M, Stephens RM, Okamoto A, Yokota J, Tanaka T: Unique microRNA molecular profiles in lung cancer diagnosis and prognosis. Cancer Cell. 2006, 9 (3): 189-198. 10.1016/j.ccr.2006.01.025.CrossRefPubMed Yanaihara N, Caplen N, Bowman E, Seike M, Kumamoto K, Yi M, Stephens RM, Okamoto A, Yokota J, Tanaka T: Unique microRNA molecular profiles in lung cancer diagnosis and prognosis. Cancer Cell. 2006, 9 (3): 189-198. 10.1016/j.ccr.2006.01.025.CrossRefPubMed
27.
Zurück zum Zitat Tie J, Pan Y, Zhao L, Wu K, Liu J, Sun S, Guo X, Wang B, Gang Y, Zhang Y: MiR-218 inhibits invasion and metastasis of gastric cancer by targeting the Robo1 receptor. PLoS Genet. 2010, 6 (3): e1000879-10.1371/journal.pgen.1000879.CrossRefPubMedPubMedCentral Tie J, Pan Y, Zhao L, Wu K, Liu J, Sun S, Guo X, Wang B, Gang Y, Zhang Y: MiR-218 inhibits invasion and metastasis of gastric cancer by targeting the Robo1 receptor. PLoS Genet. 2010, 6 (3): e1000879-10.1371/journal.pgen.1000879.CrossRefPubMedPubMedCentral
28.
Zurück zum Zitat Uesugi A, Kozaki K, Tsuruta T, Furuta M, Morita K, Imoto I, Omura K, Inazawa J: The tumor suppressive microRNA miR-218 targets the mTOR component Rictor and inhibits AKT phosphorylation in oral cancer. Cancer Res. 2011, 71 (17): 5765-5778. 10.1158/0008-5472.CAN-11-0368.CrossRefPubMed Uesugi A, Kozaki K, Tsuruta T, Furuta M, Morita K, Imoto I, Omura K, Inazawa J: The tumor suppressive microRNA miR-218 targets the mTOR component Rictor and inhibits AKT phosphorylation in oral cancer. Cancer Res. 2011, 71 (17): 5765-5778. 10.1158/0008-5472.CAN-11-0368.CrossRefPubMed
29.
Zurück zum Zitat Alajez NM, Lenarduzzi M, Ito E, Hui AB, Shi W, Bruce J, Yue S, Huang SH, Xu W, Waldron J: MiR-218 suppresses nasopharyngeal cancer progression through downregulation of survivin and the SLIT2-ROBO1 pathway. Cancer Res. 2011, 71 (6): 2381-2391. 10.1158/0008-5472.CAN-10-2754.CrossRefPubMed Alajez NM, Lenarduzzi M, Ito E, Hui AB, Shi W, Bruce J, Yue S, Huang SH, Xu W, Waldron J: MiR-218 suppresses nasopharyngeal cancer progression through downregulation of survivin and the SLIT2-ROBO1 pathway. Cancer Res. 2011, 71 (6): 2381-2391. 10.1158/0008-5472.CAN-10-2754.CrossRefPubMed
30.
Zurück zum Zitat Davidson MR, Larsen JE, Yang IA, Hayward NK, Clarke BE, Duhig EE, Passmore LH, Bowman RV, Fong KM: MicroRNA-218 is deleted and downregulated in lung squamous cell carcinoma. PLoS One. 2010, 5 (9): e12560-10.1371/journal.pone.0012560.CrossRefPubMedPubMedCentral Davidson MR, Larsen JE, Yang IA, Hayward NK, Clarke BE, Duhig EE, Passmore LH, Bowman RV, Fong KM: MicroRNA-218 is deleted and downregulated in lung squamous cell carcinoma. PLoS One. 2010, 5 (9): e12560-10.1371/journal.pone.0012560.CrossRefPubMedPubMedCentral
31.
Zurück zum Zitat Skyldberg B, Salo S, Eriksson E, Aspenblad U, Moberger B, Tryggvason K, Auer G: Laminin-5 as a marker of invasiveness in cervical lesions. J Natl Cancer Inst. 1999, 91 (21): 1882-1887. 10.1093/jnci/91.21.1882.CrossRefPubMed Skyldberg B, Salo S, Eriksson E, Aspenblad U, Moberger B, Tryggvason K, Auer G: Laminin-5 as a marker of invasiveness in cervical lesions. J Natl Cancer Inst. 1999, 91 (21): 1882-1887. 10.1093/jnci/91.21.1882.CrossRefPubMed
32.
Zurück zum Zitat Kertesz M, Iovino N, Unnerstall U, Gaul U, Segal E: The role of site accessibility in microRNA target recognition. Nat Genet. 2007, 39 (10): 1278-1284. 10.1038/ng2135.CrossRefPubMed Kertesz M, Iovino N, Unnerstall U, Gaul U, Segal E: The role of site accessibility in microRNA target recognition. Nat Genet. 2007, 39 (10): 1278-1284. 10.1038/ng2135.CrossRefPubMed
33.
Zurück zum Zitat Galvan A, Ioannidis JP, Dragani TA: Beyond genome-wide association studies: genetic heterogeneity and individual predisposition to cancer. Trends Genet. 2010, 26 (3): 132-141. 10.1016/j.tig.2009.12.008.CrossRefPubMedPubMedCentral Galvan A, Ioannidis JP, Dragani TA: Beyond genome-wide association studies: genetic heterogeneity and individual predisposition to cancer. Trends Genet. 2010, 26 (3): 132-141. 10.1016/j.tig.2009.12.008.CrossRefPubMedPubMedCentral
34.
Zurück zum Zitat Guan P, Howell-Jones R, Li N, Bruni L, de Sanjose S, Franceschi S, Clifford GM: Human papillomavirus types in 115,789 HPV-positive women: a meta-analysis from cervical infection to cancer. Int J Cancer. 2012, 131 (10): 2349-2359. 10.1002/ijc.27485.CrossRefPubMed Guan P, Howell-Jones R, Li N, Bruni L, de Sanjose S, Franceschi S, Clifford GM: Human papillomavirus types in 115,789 HPV-positive women: a meta-analysis from cervical infection to cancer. Int J Cancer. 2012, 131 (10): 2349-2359. 10.1002/ijc.27485.CrossRefPubMed
Metadaten
Titel
A pri-miR-218variant and risk of cervical carcinoma in Chinese women
verfasst von
Ting-Yan Shi
Xiao-Jun Chen
Mei-Ling Zhu
Meng-Yun Wang
Jing He
Ke-Da Yu
Zhi-Ming Shao
Meng-Hong Sun
Xiao-Yan Zhou
Xi Cheng
Xiaohua Wu
Qingyi Wei
Publikationsdatum
01.12.2013
Verlag
BioMed Central
Erschienen in
BMC Cancer / Ausgabe 1/2013
Elektronische ISSN: 1471-2407
DOI
https://doi.org/10.1186/1471-2407-13-19

Weitere Artikel der Ausgabe 1/2013

BMC Cancer 1/2013 Zur Ausgabe

Update Onkologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.