Disease Markers
Volume 2015 (2015), Article ID 482146, 8 pages
http://dx.doi.org/10.1155/2015/482146

Review Article

Prognostic Value of MicroRNA-182 in Cancers: A Meta-Analysis

Fei Wang,¹ Shanliang Zhong,² Haijun Zhang,³ Wei Zhang,⁴ Hongming Zhang,¹ Xue Wu,¹ and Baoan Chen¹

¹Department of Hematology (Key Department of Jiangsu Medicine), Zhongda Hospital, Medical School, Southeast University, Nanjing 210009, China
²Center of Clinical Laboratory Science, Jiangsu Cancer Hospital Affiliated to Nanjing Medical University, Nanjing 210009, China
³Department of Oncology, Zhongda Hospital, Medical School, Southeast University, Nanjing 210009, China
⁴Department of Pathology, Medical School, Southeast University, Nanjing 210009, China

Received 13 January 2015; Accepted 14 April 2015

Academic Editor: Andreas Pich

Copyright © 2015 Fei Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Objective. MicroRNA-182 (miR-182) exhibits altered expression in various cancers. The aim of this study was to investigate the predictive value of miR-182 expression for cancer patient survival. Methods. Eligible studies were identified through multiple search strategies, and the hazard ratios (HRs) for patient outcomes were extracted and estimated. A meta-analysis was performed to evaluate the prognostic value of miR-182. Results. In total, 14 studies were included. A high miR-182 expression level predicted a worse outcome with a pooled HR of 2.18 (95% CI: 1.53–3.11) in ten studies related to overall survival (OS), especially in Chinese populations. The results of seven studies evaluating disease-free survival/relapse-free survival/recurrence-free interval/disease-specific survival (DFS/RFS/RFI/DSS) produced a pooled HR of 1.77 (95% CI: 0.91–3.43), which was not statistically significant; however, the trend was positive. When disregarding the DSS from one study, the expression of miR-182 was significantly correlated with DFS/RFS/RFI (pooled HR = 2.52, 95% CI: 1.67–3.79). Conclusions. High miR-182 expression is associated with poor OS and DFS/RFS/RFI in some types of cancers, and miR-182 may be a useful prognostic biomarker for predicting cancer prognosis. However, given the current insufficient relevant data, further clinical studies are needed.

1. Introduction

Cancer is a major public health challenge in many parts of the world. Although overall cancer mortality decreased by 20% between 1991 and 2010, cancer remains one of the most common causes of death worldwide [1]. Early detection and precise diagnosis are critical for these patients.

MicroRNAs (miRNAs), which are approximately 22 nucleotides in length, bind to complementary sequences of mRNA at the 3′-untranslated region and result in the downregulation of protein-coding target genes in the nucleus and cytoplasm. miRNAs play important roles in various biological processes, such as cellular growth, development, differentiation, proliferation, apoptosis, angiogenesis, and metastasis [2, 3]. The aberrant expression of miRNAs has been observed in various diseases, including human carcinomas [4]. Many studies have demonstrated that oncogenic miRNAs are frequently upregulated in tumors, whereas tumor-suppressive miRNAs are frequently downregulated. Therefore, the success of utilizing miRNAs as diagnostic or prognostic biomarkers has received substantial attention in cancer research [5].

miR-182, a member of the miR-183 family located on 7q31-34, is one of the most frequently studied cancer-related oncogenic miRNAs that is dysregulated in various cancer tissues [6]. Several studies have reported that miR-182 is abnormally expressed in many cancer types. Furthermore, miR-182 may function as an oncogenic miRNA to enhance cancer cell proliferation, survival, aggressiveness, tumorigenesis, and drug resistance [7–9]. However, other studies have reported that miR-182 is downregulated in gastric adenocarcinoma and that increased miR-182 levels are correlated with clinical treatment benefits [10, 11]. Together, these results suggest a highly complex mechanism of miR-182-related tumorigenesis.

Several studies have recently suggested that upregulated miR-182 expression is significantly associated with poor cancer prognosis; other studies have reported conflicting results. Therefore, to assess the cumulative evidence regarding the possible association between elevated miR-182 and poor outcomes in cancer patients and to explore the possibility of miR-182 as a prognostic biomarker, we conducted a meta-analysis of relevant studies. Through this study, we aim to clarify the role of miR-182 in human carcinomas and to investigate this association.

2. Materials and Methods

2.1. Search Strategy

To identify eligible studies, we performed an online search using PubMed and the Web of Science through December 31, 2014. The search strategy employed terms related to miR-182 (e.g., “miR-182,” “mircoRNA-182,” and “microRNA182”). A manual review of the references of relevant publications was also carefully performed to obtain additional information. All searches were conducted independently by two reviewers, and the differences were checked and resolved by discussion.

2.2. Inclusion and Exclusion Criteria

Studies were eligible if they met the following criteria: (1) the study subjects were patients with any type of cancer; (2) miR-182 expression was measured in tumor tissue or plasma; (3) the relationship between miR-182 expression and clinical outcomes was reported; and (4) the full-text article was available in English. Studies were excluded based on the following criteria: (1) reviews, letters, or laboratory reports; (2) overlapping or duplicate data; (3) studies of nondichotomous miR-182 expression levels; and (4) the absence of key information regarding survival outcome, such as hazard ratios (HRs) or 95% confidence intervals (CIs) or no way to calculate such parameters.

2.3. Data Extraction

Two investigators evaluated and extracted the data independently from all eligible studies under the guideline of a critical review checklist from the Dutch Cochrane Centre proposal for the meta-analysis of observational studies in epidemiology (MOOSE) [12]. The following items were extracted: first author, year of publication, country of origin, tumor type, sample type and number, method, cutoff value, follow-up and HRs of miR-182 for overall survival (OS), and the corresponding 95% CIs. If not available, data were calculated following Tierney et al.’s method [13]. Disagreements were resolved by discussion. All decisions regarding the data were resolved by consensus.

2.4. Statistical Analysis

All of the HRs and their corresponding 95% CIs were used to calculate the pooled HR. Generally, if the overall HR was >1 and if the 95% CI did not overlap in the forest plot, high miR-182 expression was considered to be significantly associated with poor survival rate. Cochran’s test and Higgins’ statistic were used to assess heterogeneity. A or % suggested significant heterogeneity in the literature and a random-effect model was used; otherwise, a fixed-effect model was used. Begg’s funnel plot and Egger’s test were used to evaluate the potential publication bias among the studies. was considered significant, and all values were two-sided. All analyses were performed using Stata 12.0 (Stata Corporation, College Station, TX, USA) and Review Manager 5.3 (Cochrane Collaboration, Oxford, UK).

3. Results

3.1. Summary of Included Studies

In total, 562 studies on miR-182 were collected in our initial search. 345 studies were removed because of duplication, and 142 studies were excluded after manually screening the titles and abstracts. After reading the full-texts of the remaining 75 studies, 57 were excluded. Finally, 18 studies [7, 11, 14–29] evaluating the relationship between miR-182 expression and cancer patient survival were selected and are listed in Table 1. After further screening, we determined that the survival data of two articles could not be applied and that the data of an additional two articles were not dichotomous. Therefore, we included 14 eligible studies in the final meta-analysis (Figure 1).

Table 1: Characteristics of the studies included in the meta-analysis.

Author
Year
Country
Type
Sample
Number
Method
Cutoff
Survival
HR
Max follow-up (months)

Chen
2014
China
Pancreatic
Plasma
109
qRT-PCR
Youden index
OS, DFS
R
60

Rapti
2014
Greece
Colorectal
Frozen tissue
105 OS
qRT-PCR
65%
OS, DFS
R
120

92 DFS

Wang
2014
China
Colorectal
FFPE
138
ISH
Score = 3 (0–7)
OS
R
96

Li
2014
China
Pancreatic
Primary tissue
38
qRT-PCR
Matched nontumor tissue
OS
SC
36

Pignot
2013
France
MIBC
Frozen tissue
72
qRT-PCR
NR
OS, RFS
SC
65

Kunder
2013
India
Group 3 and 4 medulloblastomas
Frozen tissue + FFPE
37
qRT-PCR
Log₂ (relative quantity)
OS
R
60

Liu
2013
China
Colorectal
Frozen tissue
148
qRT-PCR
Median
OS
R
89

McMillen
2012
USA
Grade III or IV ovarian
FFPE
107
ISH
Score > 1.5 (0–3)
OS
R
82

Zhu
2011
China
NSCLC
Frozen tissue
70
qRT-PCR
Median
OS
R
25

Jiang
2010
China
Glioma
PE
119
qRT-PCR
Median
OS
(RR) R
80

Stenvold
2014
Norway
NSCLC
FFPE
305
ISH
Score > 0 (0–3)
DSS
R
234

Lei
2014
China
Breast
Fresh tumor specimens
38
qRT-PCR
Median
RFS
SC
50

Wang
2012
China
HCC
Frozen tissue
86
qRT-PCR
Median
DFS
SC
56

Schaefer
2010
Germany
Prostate
Frozen tissue
75
qRT-PCR
Median
RFI
R
93

Casanova-Salasa
2014
Spain
Prostate
FFPE
272
qRT-PCR
Low/medium/high
PFS
SC
189

Rodríguez-Gonzáleza
2011
Netherlands
ER+ breast
Tissue
246
qRT-PCR
Divided into quarters
PFS
SC
24

Hiratab
2012
USA
Bladder
FFPE
18
qRT-PCR
Median
OS
SC
120

Hiratab
2013
USA
Prostate
FFPE
52
qRT-PCR
Median
OS
SC
100

DFS: disease-free survival, DSS: disease-specific survival, ER: estrogen receptor, FFPE: formalin-fixed paraffin embedded tissues, HCC: hepatocellular carcinoma, HR: hazard ratio, ISH: in situ hybridization, MIBC: muscle-invasive bladder cancer, NR: not reported, NSCLC: nonsmall lung cancer, OS: overall survival, PFS: progression-free survival, R: reported, RFI: recurrence-free interval, RFS: relapse-free survival, RR: relative risk, and SC: survival curve.

aExcluded due to nondichotomy; b95% CIs of HR extracted from the Kaplan-Meier survival curves were not accurate (HR > 50, 95% CI: 0–∞).

Figure 1: Flow diagram of the study selection process.

Of the 14 included studies, 943 participants with OS data and 777 participants with disease-free survival/relapse-free survival/recurrence-free interval/disease-specific survival (DFS/RFS/RFI/DSS) data from China, the USA, Germany, France, Greece, Norway, and India were analyzed. The types of malignant cancers included colorectal cancer (), nonsmall cell lung cancer (NSCLC) (), pancreatic cancer (), prostate cancer, ovarian cancer, medulloblastomas, glioma, breast cancer, muscle-invasive bladder cancer (MIBC), and hepatocellular carcinoma (HCC). Fresh, frozen or formalin-fixed and paraffin-embedded (FFPE) tissues were used in 13 studies, whereas plasma was used in one study. Quantitative real-time PCR (qRT-PCR) was used in 11 studies, and in situ hybridization (ISH) was used in the remaining 3 studies.

Among these studies, seven articles evaluated OS, four articles evaluated DFS/RFS/RFI/DSS, and three studies evaluated both OS and DFS/RFS. Nine studies directly reported HRs and 95% CIs. Only one study reported RR; therefore, we combined HR and RR [30]. We calculated HRs from survival curves in four studies.

3.2. Overall Survival Is Associated with miR-182 Expression

Ten articles evaluated OS for miR-182, and significant heterogeneity between studies was found (, %); therefore, a random-effects model was applied. Our results revealed that high miR-182 expression predicted worse outcomes with a combined HR of 2.18 (95% CI: 1.53–3.11) (Figure 2).

Figure 2: Forest plots of studies evaluating the hazard ratios of high and low miR-182 expression with respect to overall survival.

Considering the large proportion of Chinese patients in the studies, we performed a stratified analysis by classifying studies into subgroups of ethnicity. The Chinese subgroup exhibited a better association between elevated miR-182 expression and poor OS (pooled HR = 2.50, 95% CI: 1.86–3.36) via a fixed-effects model (, %) (Figure 3).

Figure 3: Subgroup analysis of overall survival in Chinese or colorectal cancer patients.

Among the ten studies related to OS, three involved colorectal cancer. Therefore, we performed a corresponding subgroup analysis that revealed a correlation between elevated miR-182 and worse OS in colorectal cancer (pooled HR = 1.99, 95% CI: 1.34–2.96) via a fixed-effects model (, %) (Figure 3).

3.3. Tumor Progression Is Associated with miR-182 Expression

A fixed-effects model (, %) was also used for studies evaluating DFS/RFS/RFI. The expression of miR-182 was significantly correlated with DFS/RFS/RFI (pooled HR = 2.52, 95% CI: 1.67–3.79). However, elevated miR-182 levels were not significantly correlated with the data combining DFS/RFS/RFI with DSS (pooled HR = 1.77, 95% CI: 0.91–3.43) using a random-effects model (, %); however, the trend was positive (Figure 4).

Figure 4: Forest plots of studies evaluating the hazard ratios of high and low miR-182 expression with respect to DFS/RFS/RFI/DSS.

3.4. Publication Bias

Begg’s funnel plots and Egger’s tests were used to evaluate the publication bias of all studies regarding patient survival and tumor progression. As shown in Figures 5 and 6, most of the funnel plots were symmetrical, and the values of Egger’s test were 0.188 for OS and 0.320 for DFS/RFS/RFI/DSS, suggesting the absence of significant publication bias.

Figure 5: Begg’s funnel plots for publication bias in overall patient survival.

Figure 6: Begg’s funnel plots for publication bias with respect to DFS/RFS/RFI/DSS.

4. Discussion

In recent years, miRNAs have attracted increasing interest among investigators, particularly cancer researchers, as vital cellular molecules involved in normal and pathological states. Many studies have demonstrated that miRNAs are aberrantly expressed in different classes of cancers and can be used as novel biomarkers of tumor identification and prognosis [5, 31–33]. Among these miRNAs, miR-182 (which belongs to the miR-183-96-182 cluster) is considered a microoncogene. Extensive profiling studies over the past several years have linked the dysregulated expression of miR-182 to several cancer types, including colorectal cancer, lung cancer, glioma, bladder cancer, endometrial carcinoma, prostate cancer, and ovarian cancer [14, 15, 20, 34].

miR-182 is involved in several key steps of tumorigenesis, including epithelial-mesenchymal transition, cell cycle regulation, proliferation, survival, migration, aggressiveness, and drug resistance [7–9, 35]. miR-182 plays a crucial role in tumorigenesis and progression, and miR-182 may become a potential therapeutic target and biomarker of tumor diagnosis and prognosis [36]. To our knowledge, there is no meta-analysis investigating the associations between miR-182 expression and the prognosis of various cancers. Therefore, we gathered the available evidence from all relevant studies to evaluate the prognostic values of miR-182.

In our study, increased expression of miR-182 was found to predict poor survival in patients with a variety of cancers. The combined HR of OS was 2.18 (95% CI: 1.53–3.11), indicating that elevated miR-182 levels are closely linked to the prognosis of patients with malignancies. This was particularly true in the Chinese cancer population, for which the pooled HR for OS was 2.5 (95% CI: 1.86–3.36), further demonstrating the predictive value of miR-182. Our stratified analysis suggested a closer relationship between rising miR-182 levels and poor survival in the Chinese subgroup. Among ten studies reporting on OS in seven tumor types, three were related to colorectal cancer. Therefore, we performed a subgroup analysis of colorectal cancer. The result also revealed that elevated miR-182 yielded worse OS in colorectal cancer (pooled HR = 1.99, 95% CI: 1.34–2.96). Due to the limited number of eligible studies for each cancer type, further research is needed to determine whether pathological cancer types impact the prognostic role of miR-182.

Because the included studies used a variety of indices to evaluate tumor progression, such as DFS, RFS, RFI, and DSS, we combined these indices to evaluate the prognostic value of miR-182. The results did not indicate an obvious association between high miR-182 expression and DFS/RFS/RFI/DSS (pooled HR = 1.77, 95% CI: 0.91–3.43); however, the trend was positive. After excluding the DSS reported in one study, the expression of miR-182 was significantly correlated with DFS/RFS/RFI (pooled HR = 2.52, 95% CI: 1.67–3.79). Because the HR of DSS from one study was 0.73 (95% CI: 0.50–1.06), marked heterogeneity was observed in the DFS/RFS/RFI/DSS group. The author [15] reported that there was a tendency towards a better prognosis for NSCLC patients overexpressing miR-182. This heterogeneity with respect to other studies may be attributed to the differences in the types of cancer, methods of detection, or miR-182 cutoff values. Alternatively, high miR-182 expression may be a favorable prognostic factor in NSCLC. Therefore, further study is needed to confirm the role of miR-182 in predicting the prognosis of different cancer types.

The overexpression of miR-182 has been shown in many studies to be associated with poor outcomes in several cancer types, and our results support these conclusions. However, why miR-182 is associated with poor prognosis in many cancers remains poorly understood. Recent studies have reported several underlying mechanisms that may play key roles, especially in metastasis. Accumulating evidence suggests that miR-182 regulates tumor cell invasion and metastasis. Sachdeva et al. [37] identified miR-182 as an overexpressed miRNA in a subset of soft tissue sarcomas that metastasized to the lungs in a mouse model and demonstrated that miR-182 was a driver of tumor metastasis in vivo by enhancing the activation of extracellular proteases, including urokinase and MMP-9, and repressing multiple proteins that prevent tumor cell intravasation. In a clinical analysis, Pignot et al. reported upregulated miR-182 in both muscle-invasive bladder cancer (MIBC) and non-muscle-invasive bladder cancer (NMIBC) patients; furthermore, miR-182 was found to be related to the aggressiveness of MIBC tumors [7]. However, Yang et al. reported that miR-182 upregulation could inhibit metastatic activity by silencing FOXO3 expression that suggested that miR-182 may function as an oncogenic miRNA for lung cancer growth as well as a suppressor of lung cancer metastasis [38]. Kong et al. demonstrated that miR-182 targeted the cAMP-responsive element binding protein 1 (CREB1) gene and suppressed gastric adenocarcinoma cell growth [10]. These results indicate that miR-182 plays a pivotal role in carcinogenesis, possibly with different mechanisms in various cancer subtypes.

Irrespective of the mechanism or clinical verification of miR-182, the results suggest that miR-182 can be used as a predictive biomarker of cancer prognosis. However, we make this conclusion cautiously, and some details must be further refined for several reasons. First, the reliability of our results is questionable in light of the number of eligible studies for OS and DFS/RFS/RFI. Additionally, the patient populations were limited to Asia, Europe, and the USA, lacking data from other regions, which might impact the statistical power of analysis. Therefore, our results need to be confirmed by more studies with larger sample sizes and other regions. Second, some HRs were extracted and calculated from survival curves, which may lead to small errors, and the HRs extracted from survival curves are univariate analysis; when possible, pooled HRs should be presented based on multivariate analysis. Third, although no significant publication bias was detected in our study, language bias may have been present because of the restriction to English. Additionally, different detection methods, sample sources, and cutoff values may also have affected the effectiveness of miR-182 as a predictive biomarker of prognosis, causing relatively large heterogeneity; however, it is impossible to include only studies with uniform features due to limited sample size. Forth, our study found high miR-182 expression to play a prognostic role in various cancers; however, it is impossible to confirm that miR-182 is an independent predictive factor based on our results. Finally, all included studies were retrospective, which may weaken the values of pooled results.

In conclusion, despite the limitations described above, our findings clearly indicate that high miR-182 expression is significantly associated with poor OS and DFS/RFS/RFI and may be a suitable prognostic biomarker in some cancer types, especially in Chinese populations. However, the current data are insufficient. These findings must be confirmed in further multicenter prospective clinical studies.

Conflict of Interests

The authors declare that they have no conflict of interests.

Acknowledgment

This work was supported by the National Natural Science Foundation of China (81370673).

References

R. Siegel, J. Ma, Z. Zou, and A. Jemal, “Cancer statistics, 2014,” CA Cancer Journal for Clinicians, vol. 64, no. 1, pp. 9–29, 2014.

H. Ling, M. Fabbri, and G. A. Calin, “MicroRNAs and other non-coding RNAs as targets for anticancer drug development,” Nature Reviews Drug Discovery, vol. 12, no. 11, pp. 847–865, 2013.

J. M. Bouyssou, S. Manier, D. Huynh, S. Issa, A. M. Roccaro, and I. M. Ghobrial, “Regulation of microRNAs in cancer metastasis,” Biochimica et Biophysica Acta—Reviews on Cancer, vol. 1845, no. 2, pp. 255–265, 2014.

M. Guz, A. Rivero-Müller, E. Okoń et al., “MicroRNAs-role in lung cancer,” Disease Markers, vol. 2014, Article ID 218169, 13 pages, 2014.

J. Hayes, P. P. Peruzzi, and S. Lawler, “MicroRNAs in cancer: biomarkers, functions and therapy,” Trends in Molecular Medicine, vol. 20, no. 8, pp. 460–469, 2014.

M. Wang, Y. Wang, W. Zang et al., “Downregulation of microRNA-182 inhibits cell growth and invasion by targeting programmed cell death 4 in human lung adenocarcinoma cells,” Tumor Biology, vol. 35, no. 1, pp. 39–46, 2014.

G. Pignot, G. Cizeron-Clairac, S. Vacher et al., “MicroRNA expression profile in a large series of bladder tumors: identification of a 3-miRNA signature associated with aggressiveness of muscle-invasive bladder cancer,” International Journal of Cancer, vol. 132, no. 11, pp. 2479–2491, 2013.

L. Cekaite, J. K. Rantala, J. Bruun et al., “MiR-9, -31, and -182 deregulation promote proliferation and tumor cell survival in colon cancer,” Neoplasia, vol. 14, no. 9, pp. 868–879, 2012.

H. Liu, Y. Wang, X. Li et al., “Expression and regulatory function of miRNA-182 in triple-negative breast cancer cells through its targeting of profilin 1,” Tumor Biology, vol. 34, no. 3, pp. 1713–1722, 2013.

W.-Q. Kong, R. Bai, T. Liu et al., “MicroRNA-182 targets cAMP-responsive element-binding protein 1 and suppresses cell growth in human gastric adenocarcinoma,” The FEBS Journal, vol. 279, no. 7, pp. 1252–1260, 2012.

F. G. Rodríguez-González, A. M. Sieuwerts, M. Smid et al., “MicroRNA-30c expression level is an independent predictor of clinical benefit of endocrine therapy in advanced estrogen receptor positive breast cancer,” Breast Cancer Research and Treatment, vol. 127, no. 1, pp. 43–51, 2011.

D. F. Stroup, J. A. Berlin, S. C. Morton et al., “Meta-analysis of observational studies in epidemiology: a proposal for reporting,” Journal of the American Medical Association, vol. 283, no. 15, pp. 2008–2012, 2000.

J. F. Tierney, L. A. Stewart, D. Ghersi, S. Burdett, and M. R. Sydes, “Practical methods for incorporating summary time-to-event data into meta-analysis,” Trials, vol. 8, article 16, 2007.

S. Wang, M. H. Yang, X. Y. Wang, J. Lin, and Y. Q. Ding, “Increased expression of miRNA-182 in colorectal carcinoma: an independent and tissue-specific prognostic factor,” International Journal of Clinical and Experimental Pathology, vol. 7, no. 6, pp. 3498–3503, 2014.

H. Stenvold, T. Donnem, S. Andersen, S. Al-Saad, L.-T. Busund, and R. M. Bremnes, “Stage and tissue-specific prognostic impact of miR-182 in NSCLC,” BMC Cancer, vol. 14, no. 1, article 138, 2014.

S. M. Rapti, C. K. Kontos, I. N. Papadopoulos, and A. Scorilas, “Enhanced miR-182 transcription is a predictor of poor overall survival in colorectal adenocarcinoma patients,” Clinical Chemistry and Laboratory Medicine, vol. 52, no. 8, pp. 1217–1227, 2014.

C. Li, X. Du, S. Tai et al., “GPC1 regulated by miR-96-5p, rather than miR-182-5p, in inhibition of pancreatic carcinoma cell proliferation,” International Journal of Molecular Sciences, vol. 15, no. 4, pp. 6314–6327, 2014.

R. Lei, J. Tang, X. Zhuang et al., “Suppression of MIM by microRNA-182 activates RhoA and promotes breast cancer metastasis,” Oncogene, vol. 33, no. 10, pp. 1287–1296, 2014.

Q. Chen, L. Yang, Y. Xiao, J. Zhu, and Z. Li, “Circulating microRNA-182 in plasma and its potential diagnostic and prognostic value for pancreatic cancer,” Medical Oncology, vol. 31, no. 11, article 225, 2014.

I. Casanova-Salas, J. Rubio-Briones, A. Calatrava et al., “Identification of miR-187 and miR-182 as biomarkers of early diagnosis and prognosis in patients with prostate cancer treated with radical prostatectomy,” The Journal of Urology, vol. 192, no. 1, pp. 252–259, 2014.

H. Liu, L. Du, Z. Wen et al., “Up-regulation of miR-182 expression in colorectal cancer tissues and its prognostic value,” International Journal of Colorectal Disease, vol. 28, no. 5, pp. 697–703, 2013.

R. Kunder, R. Jalali, E. Sridhar et al., “Real-time PCR assay based on the differential expression of microRNAs and protein-coding genes for molecular classification of formalin-fixed paraffin embedded medulloblastomas,” Neuro-Oncology, vol. 15, no. 12, pp. 1644–1651, 2013.

H. Hirata, K. Ueno, V. Shahryari et al., “MicroRNA-182-5p promotes cell invasion and proliferation by down regulating FOXF2, RECK and MTSS1 genes in human prostate cancer,” PLoS ONE, vol. 8, no. 1, Article ID e55502, 2013.

J. Wang, J. Li, J. Shen, C. Wang, L. Yang, and X. Zhang, “MicroRNA-182 downregulates metastasis suppressor 1 and contributes to metastasis of hepatocellular carcinoma,” BMC Cancer, vol. 12, article 227, 2012.

B. D. McMillen, M. M. Aponte, Z. Liu et al., “Expression analysis of MIR182 and its associated target genes in advanced ovarian carcinoma,” Modern Pathology, vol. 25, no. 12, pp. 1644–1653, 2012.

H. Hirata, K. Ueno, V. Shahryari et al., “Oncogenic miRNA-182-5p targets Smad4 and RECK in human bladder cancer,” PLoS ONE, vol. 7, no. 11, Article ID e51056, 2012.

W. Zhu, X. Liu, J. He, D. Chen, Y. Hunag, and Y. K. Zhang, “Overexpression of members of the microRNA-183 family is a risk factor for lung cancer: a case control study,” BMC Cancer, vol. 11, article 393, 2011.

A. Schaefer, M. Jung, H.-J. Mollenkopf et al., “Diagnostic and prognostic implications of microRNA profiling in prostate carcinoma,” International Journal of Cancer, vol. 126, no. 5, pp. 1166–1176, 2010.

L. Jiang, P. Mao, L. Song et al., “miR-182 as a prognostic marker for glioma progression and patient survival,” The American Journal of Pathology, vol. 177, no. 1, pp. 29–38, 2010.

S. Zhong, L. Chen, M. Lv, T. Ma, X. Zhang, and J. Zhao, “Nonoccupational physical activity and risk of ovarian cancer: a meta-analysis,” Tumor Biology, vol. 35, no. 11, pp. 11065–11073, 2014.

S. Wang, H. Li, J. Wang, D. Wang, A. Yao, and Q. Li, “Prognostic and biological significance of microRNA-127 expression in human breast cancer,” Disease Markers, vol. 2014, Article ID 401986, 12 pages, 2014.

Y. Shao, Y. Geng, W. Gu, J. Huang, Z. Ning, and H. Pei, “Prognostic significance of microRNA-375 downregulation in solid tumors: a meta-analysis,” Disease Markers, vol. 2014, Article ID 626185, 10 pages, 2014.

M. Li, X. Ma, M. Li et al., “Prognostic role of microRNA-210 in various carcinomas: a systematic review and meta-analysis,” Disease Markers, vol. 2014, Article ID 106197, 10 pages, 2014.

T. S. Lee, H. W. Jeon, Y. B. Kim, Y. A. Kim, M. A. Kim, and S. B. Kang, “Aberrant microRNA expression in endometrial carcinoma using formalin-fixed paraffin-embedded (FFPE) tissues,” PLoS ONE, vol. 8, no. 12, Article ID e81421, 2013.

I. Medimegh, I. Omrane, M. Privat et al., “MicroRNAs expression in triple negative vs non triple negative breast cancer in tunisia: interaction with clinical outcome,” PLoS ONE, vol. 9, no. 11, Article ID e111877, 2014.

M. Kunz, “MicroRNAs in melanoma biology,” Advances in Experimental Medicine and Biology, vol. 774, pp. 103–120, 2013.

M. Sachdeva, J. K. Mito, C. L. Lee et al., “MicroRNA-182 drives metastasis of primary sarcomas by targeting multiple genes,” The Journal of Clinical Investigation, vol. 124, no. 10, pp. 4305–4319, 2014.

W.-B. Yang, P.-H. Chen, T.-I. Hsu et al., “Sp1-mediated microRNA-182 expression regulates lung cancer progression,” Oncotarget, vol. 5, no. 3, pp. 740–753, 2014.