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. 2017 Jun 28;10:3193–3201. doi: 10.2147/OTT.S137837

The effect of circulating miR-223 on surveillance of different cancers: a meta-analysis

Yunfeng Zhang 1,*, Jinbo Lin 2,*, Wenjie Huang 3,*, Yong Cao 4, Yi Liu 4, Tieqiang Wang 4, Weiyi Zhong 4, Dongli Wang 4, Rongrong Mao 4, Xiaoliang Chen 4,✉
PMCID: PMC5499933  PMID: 28721069

Abstract

Purpose

Abnormal expression of miR-223 in cancerous tissue has confirmed it as an important player in tumorigenesis of cancers, such as hepatocellular carcinoma, colorectal carcinoma, osteosarcoma, gastric cancer, and chronic lymphocytic leukemia. The present meta-analysis aimed to explore the association between circulating miR-223 and prognosis of cancers.

Methods

The studies were accessed by an electronic search of multiple databases. RevMan5.3 and STATA14.0 were used to estimate the heterogeneity among studies, pooled effects, and publication bias.

Results

Ten studies with data of 1,002 patients with cancer were included in this meta-analysis. The risk of metastasis from stages 3 to 4 of TNM did not decrease when high versus low circulating expression of miR-223 were compared (pooled odds ratio =0.50, 95% CI: 0.24–1.03). In case of prognosis, the overall survival time was not significantly longer with high circulating miR-223 expression (pooled hazard ratio [HR] =0.64, 95% CI: 0.38–1.11) in all cancer types. However, the overall survival time of chronic lymphocytic leukemia (pooled HR =0.19, 95% CI: 0.07–0.54) increased in subgroup analysis. Moreover, the treatment-free survival of chronic lymphocytic leukemia was significantly increased with high circulating miR-223 expression (pooled HR =0.38, 95% CI: 0.23–0.64).

Conclusion

Circulating miR-223 was not an effective biomarker in prognosis surveillance in all cancers but in chronic lymphocytic leukemia.

Keywords: miR-223, carcinoma, metastasis, prognosis, meta-analysis

Background

MicroRNAs (miRNAs) are small noncoding RNA molecules (20–24 nucleotides) with negative regulation in gene expression at the posttranscriptional level.1 Experiments have shown that miRNA broadly impact hundreds of mRNA targets based on the ~7 nt complementary base-pairing to the “seed sequence” of an miRNA.2 The dysregulation of homeostatic control of miRNA biogenesis, such as miR-155, miR-17~92, miR-16, miR-10b, and miR-373, could be associated with multiple pathological cancers, especially tumors of the breast, lung, liver, pancreas, and bone marrow.3 Furthermore, the regulating miRNAs have shown aberrant expression in tumor tissues and patient serum and participate in the onset and progression of cancer.4,5 Because of the involvement of miRNAs in many cellular cancer pathways including development, cell proliferation, differentiation, and apoptosis,6–8 miRNAs were expected to play crucial roles in cancer diagnosis and therapy as well as in prognosis surveillance.

MiR-223, a common tumor-associated microRNA, has been reported to be dysregulated in various human tumors, such as hepatocellular carcinoma,9 colorectal carcinoma,10 osteosarcoma,11 gastric cancer,12 and chronic lymphocytic leukemia.13 Abnormal expression of miR-223 in cancerous tissue has confirmed it as an important player in tumorigenesis of cancers.14 Similar to the tissue, miR-223 could be steadily detected in patient’s circulating blood, and be used as a noninvasive biomarker for early cancer detection and diagnosis.9 Moreover, circulating miR-223 was found to be associated with metastasis and prognosis of cancers15–20 and it might be a diagnostic biomarker and prognostic factor. However, the effect of circulating miR-223 on cancer prognosis is controversial, and no meta-analysis has investigated the relationship between circulating miR-223 expression and prognosis.

Therefore, the present meta-analysis aimed to explore the association between circulating miR-223 level and clinical outcome of patients with cancer to further determine the biomarker role of circulating miR-223 in metastasis and prognosis of cancers.

Materials and methods

Literature search strategy

Reports of studies in Language of English or Chinese on the role of circulating miR-223 expression in the development of human cancer were searched in PubMed, EMBASE, the Cochrane Library, China National Knowledge Infrastructure, and Wanfang databases with the following keywords: (“cancer” or “tumor” or “neoplasm” or “malignant” or “carcinoma”) and (“prognos*” or “surviv*” or “follow-up” or “mortality” or “predict” or “outcome” or “metastas*”) and (“microRNA-223” or “miRNA-223”, or “miR-223”) and (“serum” or “plasma” or “blood” or “circulating”). The last search date was September 23, 2016. References of retrieved papers and conference reports were also searched to identify relevant studies.

Selection criteria

After removing the duplicate entries, titles and abstracts of articles were checked by 4 authors (YZ, JL, YC, YL). The full text of eligible articles was retrieved. The eligible articles had the following criteria: 1) the expression of circulating miR-223 was analyzed by metastasis or survival, 2) patients were divided by high and low expression of circulating miR-223, 3) odd ratios (ORs) for metastasis (tumor node metastasis [TNM] stage, international staging system) or hazard ratios (HRs) for survival (overall survival [OS], disease-free survival, event-free survival, progression-free survival, cause-specific survival, and treatment-free survival [TFS]) were provided or could be calculated from the available data; and 4) the expression of circulating miR-223 was tested in patients’ peripheral blood by real-time PCR or fluorescence in situ hybridization. Studies not fulfilling the criteria, reviews, and animal/cell-line studies were excluded. Furthermore, if more than 1 study of the same cohort was published, only the most recent English publication was included. Consensus on searching and exclusion was resolved by discussion and with 2 other investigators (TW, XC) if needed.

Data extraction and quality assessment

The general data was extracted by 4 authors (WH, WZ, DW, RM) using the following form: first author’s name, published year, region of cohort, sample size, cancer type, method to test miR-223, cases in each expression group (high/low), cases of metastasis (TNM/ISS) in each group, and survival results (OS, disease-free survival, event-free survival, progression-free survival, cause-specific survival, and TFS). Furthermore, the reference for all effects (ORs or HRs) was reformatted as low circulating miR-223 expression, and the multivariate analysis effects were used for pooled analysis. The quality of each eligible study was assessed by the Newcastle-Ottawa Scale, consisting of selection, outcome, and comparability, with scores from 0 to 9. A study with Newcastle-Ottawa Scale score ≥6 was considered at high quality.

Statistical methods

This meta-analysis involved the use of Review Manager 5.3 (Cochrane network) and STATA 14.0. When HRs and 95% CIs were not provided directly in some studies, Engauge Digitizer 4.1 was used to analyze them from Kaplan–Meier curve. The heterogeneity among eligible studies was tested by Inconsistency (I2) and Q tests (chi-squared test). If no statistical heterogeneity was found (PQ>0.05, I2<50%), a fixed-effects model was used to estimate the pooled OR and HR. Otherwise, a random-effects model was used. Moreover, Begg’s and Egger’s tests were used to assess publication bias. All tests were two-sided, and P<0.05 was considered statistically significant.

Results

Characteristics of eligible studies

The literature search included 10 studies eligible in the meta-analysis (Figure 1), 6 from China13,17,18,21–23 and 1 each from France,24 United States,15 Japan,19 and Belgium.20 The studies involved a total of 1,002 patients with cancer, with mean sample size of 1,002 patients (range: 46–180). Six different types of cancers were evaluated: nonsmall cell lung carcinoma (n=3); esophageal squamous cell carcinoma and chronic lymphocytic leukemia (n=2 each); and pancreatic cancer, osteosarcoma, and multiple myeloma (n=1 each). The level of miR-223 was detected in patients’ plasma or serum by real-time PCR and the negative control was healthy plasma or serum. Furthermore, the group cutoff value determined by the original research depended on the median/mean value of miR-223 level receiver operating characteristic curve analysis. The main characteristics of each study are summarized in Table 1.

Figure 1.

Figure 1

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Flow of the studies in the meta-analysis.

Table 1.

Basic data for all included studies in the meta-analysis

References Year Country Sample size Cancer-type Method Follow-up (months) Cutoff (high/low) TNM stage
Survival
Quality score
Low High Method Outcomes
Sanfiorenzo et al24 2013 France 52 NSCLC qrt-PCR 60 24/28 NR NR Multivariate DFS 8
Heegaard et al15 2012 USA 180 NSCLC qrt-PCR 60 90/90 NR NR Univariate OS 8
Wu et al17,* 2014 China 194 ESCC qrt-PCR 60 113/81 1:3 1:5 Multivariate OS 8
2:48 2:62
3:21 3:36
4:5 4:2
Wu et al18 2014 China 63 ESCC qrt-PCR 24 NR NR NR Univariate OS 8
Komatsu et al19 2015 Japan 46 PC qrt-PCR 50 25/20 NR NR Univariate CSS 8
Stamatopoulos et al20 2009 Belgium 110 CLL qrt-PCR 300 37/73 NR NR Univariate OS, TFS 8
Zhou et al13 2012 China 53 CLL qrt-PCR 90 31/22 NR NR Univariate OS, TFS 8
Dong et al21 2016 China 112 OSC qrt-PCR 60 59/53 2a:22 2a:50 Multivariate OS 8
2b/3:40 2b/3:10
Wu et al22 2014 China 94 NSCLC qrt-PCR 48 47/47 3:23 3:29 Multivariate OS 8
4:24 4:18
Qu23 2014 China 98 MM qrt-PCR 48 49/49 1+2:22 1+2:30# Univariate OS, PFS 8
3:27 3:19
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Note:

#

ISS, international staging system.

Abbreviations: NSCLC, nonsmall cell lung carcinoma; ESCC, esophageal squamous cell carcinoma; PC, pancreatic cancer; CLL, chronic lymphocytic leukemia; OSC, osteosarcoma; OS, overall survival; MM, multiple myeloma; TNM, tumor node metastasis; qrt-PCR, quantitative real-time PCR; DFS, disease-free survival; TFS, treatment-free survival; CSS, cause-specific survival; PFS, progression-free survival; NR, not reported.

Association between circulating miR-223 and metastasis

Although three studies reported the cases among TNM stage, only two in esophageal squamous cell carcinoma and nonsmall cell lung carcinoma had the same classification between high and low expression of circulating miR-223 with 158 cases in stages 3 and 4 of TNM. Because of severe heterogeneity with 2 studies (I2=0%, PQ=0.34), the fixed-effects model was used to calculate the pooled effect. High expression of circulating miR-223 did not significantly decrease the risk of stage 3 developing to 4, with pooled OR =0.50 (95% CI: 0.24–1.03) (Figure 2).

Figure 2.

Figure 2

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Forest plot of association between circulating miR-223 expression and TNM.

Abbreviations: CI, confidence interval; M–H, Mantel–Haenszel test; TNM, tumor node metastasis.

Association between circulating miR-223 and OS

Eight studies showed data for OS in terms of circulating miR-223 level for 904 patients with cancer. Because of significant heterogeneity (I2=76%, PQ=0.0002), the random-effects model was used. The pooled HR of OS was 0.64 (95% CI: 0.38–1.11, P=0.11) for high versus low circulating miR-223 expression (Figure 3A); therefore, high miR-223 expression did not significantly increase the OS time. Because of the different types of cancer involved in this meta-analysis, we also calculated the pooled HR for OS by cancer-type. For studies of chronic lymphocytic leukemia, high miR-223 expression significantly increased the OS time with pooled HR of 0.19 (95% CI: 0.07–0.54) under the fixed-effects model (I2=0%, PQ=0.68) (Figure 3B). For studies of nonsmall cell lung carcinoma, the pooled HR was 0.82 (95% CI: 0.61–1.11) under the fixed-effects model (I2=0%, PQ=0.46) (Figure 3C) and for esophageal squamous cell carcinoma, it was 1.29 (95% CI: 0.62–2.66) under the random-effects model (I2=61%, PQ=0.11) (Figure 3D).

Figure 3.

Figure 3

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Forest plot showing the association between circulating miR-223 expression and OS. (A) Pooled HR of circulating miR-223 on OS of all types of cancer under random-effects model. In subgroup analyses, (B) pooled HR of circulating miR-223 on OS of chronic lymphocytic leukemia under the fixed-effects model; (C) pooled HR of circulating miR-223 on OS of nonsmall cell lung carcinoma under fixed-effects model; (D) pooled HR of circulating miR-223 on OS of esophageal squamous cell carcinoma under the random-effects model. Data are HRs and 95% CIs.

Abbreviations: SE, standard error; IV, inverse variance; CI, confidence interval; OS, overall survival; HR, hazard ratio.

Association between circulating miR-223 and TFS

Two studies showed data for TFS with respect to circulating miR-223 level for 163 patients of chronic lymphocytic leukemia. These studies showed no significant heterogeneity (I2=0%, PQ=0.82) and therefore a fixed-effects model was used. High miR-223 expression significantly increased TFS time in patients with chronic lymphocytic leukemia (OR =0.38, 95% CI: 0.23–0.64) (Figure 4).

Figure 4.

Figure 4

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Forest plot of association between circulating miR-223 expression and TFS.

Abbreviations: CI, confidence interval; IV, inverse variance; SE, standard error; TFS, treatment-free survival.

Sensitivity analysis

Sensitivity analysis was conducted to test the association between circulating miR-223 and OS. Each study was deleted in turn to examine the influence of the deleted data on the overall HR. Only exclusion of Wu et al’s data significantly changed the results of pooled HR of 0.54 (95% CI: 0.33–0.89) (Table 2), which suggested that the role of circulating miR-223 was differential or reverse in OS of esophageal squamous cell carcinoma. Therefore, we pooled the data on effect of circulating miR-223 on OS of all cancers except esophageal squamous cell carcinoma, which significantly increased the OS time under a random-effects model (HR =0.44, 95% CI: 0.24–0.82) (Figure S1).

Table 2.

Sensitivity analysis for the studies that resulted in loss of significance after omission

Original summary effects
Omitted study Resulting summary effects
HR 95% CI Nature of association I2 HR 95% CI Nature of association I2
0.64 0.38–1.11 Not significantly decreased risk 76% Heegaard et al15 0.59 0.29–1.21 Not significantly decreased risk 78%
Wu et al17 0.54 0.33–0.89 Significantly decreased risk 57%
Wu et al18 0.57 0.29–1.13 Not significantly decreased risk 79%
Stamatopoulos et al20 0.77 0.46–1.29 Not significantly decreased risk 71%
Zhou et al13 0.66 0.38–1.13 Significantly increased risk 78%
Dong et al21 0.79 0.48–1.30 Not significantly decreased risk 69%
Wu et al22 0.61 0.33–1.13 Not significantly decreased risk 79%
Qu23 0.65 0.37–1.14 Not significantly decreased risk 79%
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Abbreviations: CI, confidence interval; HR, hazard ratio.

Publication bias

Publication bias for the association between circulating miR-223 and OS was checked by a Begg’s funnel plot under the random-effects model (Figure 5). Begg’s test showed no significant rank correlation with Kendall score (Z=-1.24, Pr>|z| =0.216). Given this result, we performed Egger’s test where evidence of significance of publication bias was not found (r=−2.11, 95% CI: −5.09–0.87, P>|t| =0.133).

Figure 5.

Figure 5

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Begg’s funnel plot of the association between circulating miR-223 and OS in all cancer types under random-effects model.

Abbreviations: OS, overall survival; SE, standard error.

Discussion

This current study aimed to assess the pooled effect of circulating miR-223 expression on prognosis with cancer. High miR-223 expression was not significantly associated with decreased cancer metastasis and increased OS time of reported cancers. However, high miR-223 expression significantly increased the OS time as well as TFS time of patients with chronic lymphocytic leukemia.

MiR-223, initially identified as part of the hematopoietic system,25 has been widely reported to show association with different cancers. Research in the mechanism of miR-223 found that it could target C/EBPβ, E2F1, FOXO1, NFI-A, and MAFB to inhibit tumor cell proliferation, migration, and invasive capability in vitro;26–30 however, it could also deregulate the expression of tumor suppressors.31–33 As miR-223 affects multiple targets simultaneously that are involved in key processes,14 the role of miR-223 in cancer depends on the type of cancer and the total level in patient’s body. Although, circulating miR-223 was not always positively correlated with the level expressed in tumor tissue,19,34 the level of circulating miR-223 was proven as a high-quality biomarker for early cancer detection and diagnosis.9,35,36 Moreover, circulating miR-223 could contribute to the epithelial-to-mesenchymal transition, required for cancer metastasis and invasion,37 and could enhance response to preoperative chemo-radiotherapy in patients with cancer.38 Therefore, circulating miR-223 is an important cancer-associated miRNA and participates in tumor development and progression.

In our meta-analysis, although the risk of progression of stages 3 to 4 of TNM was not significantly decreased with high circulating miR-223 expression for the small sample size and few cancer types, it still suggested that high circulating miR-223 might be epidemiologically associated with decreased metastasis of cancers. For prognosis of patients, circulating miR-223 was not significantly associated with OS in all reported cancers; however, their association in subgroup analysis was not coincident. It epidemiologically supported the fact that the role of circulating miR-223 in cancers depends on the mechanism and character of cancer-type. It suggested that the circulating miR-223 could not be used as biomarker for prognosis surveillance of cancer but chronic lymphocytic leukemia.

Some meta-analyses focused on the association of miR-223 with cancer; all analyzed the role of miR-223 in the early detection and diagnosis of cancer.9,39–41 To search for an applicable biomarker for therapy, we focused on the association of circulating miR-223 on metastasis and prognosis. To the best of our knowledge, this is the first meta-analysis of the effect of circulating miR-223 on outcomes of patients with cancer.

Our study has some limitations. First, the studies of each cancer-type and respective patient samples were few in number. Second, because of heterogeneity of different cancer-type in the included studies, the results need to be further identified with more randomized clinical trials. Finally, because of using aggregated group data in the meta-analysis, some confounding factors could not be controlled.

Conclusion and recommendations

This meta-analysis is the first to demonstrate that high expression of circulating miR-223 is related to prognosis for patients with cancer. The expression of circulating miR-223 might be a biomarker for prognosis surveillance of some cancer types, especially chronic lymphocytic leukemia.

Supplementary material

Figure S1

Forest plot of the pooled HRs for OS with esophageal squamous cell carcinoma excluded under the random-effects model.

Abbreviations: HR, hazard ratio; OS, overall survival; IV, inverse variance; CI, confidence interval; SE, standard error.

ott-10-3193s1.tif (139.4KB, tif)

References

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Acknowledgments

This study was funded by the Shenzhen Technology Research and Development Funds (JCYJ20150403095530583 and 201604130086), and the Science & Technology Project of Shenzhen Longgang District (201406063001026 and 20160607153104624).

Footnotes

Author contributions

XLC conceived the study; YFZ, JBL, YC, and YL conducted the review and screened records for eligibility; WJH, WYZ, DLW, and RRM extracted data and conducted statistical analysis under the supervision of XLC and TQW. JBL prepared the initial report, which was read and edited by XLC. All authors contributed toward data analysis, drafting and critically revising the paper, gave final approval of the version to be published, and agree to be accountable for all aspects of the work.

Disclosure

The authors report no conflicts of interest in this work.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Figure S1

Forest plot of the pooled HRs for OS with esophageal squamous cell carcinoma excluded under the random-effects model.

Abbreviations: HR, hazard ratio; OS, overall survival; IV, inverse variance; CI, confidence interval; SE, standard error.

ott-10-3193s1.tif (139.4KB, tif)

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