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. 2017 Jul 31;8(47):82643–82660. doi: 10.18632/oncotarget.19740

The clinicopathological significance and prognostic value of EMMPRIN overexpression in cancers: evidence from 39 cohort studies

Hengwei Fan 1,*, Wanwan Yi 2,*, Chenxing Wang 1, Jisheng Wang 1
PMCID: PMC5669917  PMID: 29137291

Abstract

Extracellular matrix metalloproteinase inducer (EMMPRIN) has been reported to be associated with tumor formation and invasion in many studies. However, the clinicopathological significance and prognosis of EMMPRIN in cancer patients remains inconclusive. Therefore, we conducted a meta-analysis to assess the predictive potential of EMMPRIN in various cancers. By searching Pubmed, Cochrane library database and web of science comprehensively, 39studies with 5739 cases were included in our meta-analysis. The results indicated that EMMPRIN overexpression was significantly associated with poor outcome of cancers (HR=2.46, 95% CI: 2.21-2.75, P<0.0001). In addition, a significant relation was found between EMMPRIN overexpression and clinicopathological features, such as tumor stage (T3+T4/ T1+T2, OR=1.87, 95% CI:1.64-2.12, P<0.0001), tumor differentiation (poor/ well+ moderate, OR=1.09, 95% CI:1.60-2.23, P<0.0001), clinical stage (III+IV /I +II, OR=1.96, 95% CI:1.69-2.27, P<0.0001) and nodal metastasis (positive/negative, OR=2.37, 95% CI:1.93-2.90, P<0.0001). However, the expression of EMMRIN was not significantly associated with tumor stage in cervical cancer (OR=1.35, 95%CI: 0.73-2.48, P=0.33). In conclusion, EMMPRIN overxepression is significantly associated with clinicopathological characteristics and prognosis of cancers. Thus, EMMPRIN may be regarded as a promising bio-marker in predicting the clinical outcome of patients in cancers and could be used as the therapeutic target during clinical practices.

Keywords: EMMPRIN, prognosis, clinicopathological significance, cancer, meta-analysis

INTRODUCTION

Cancer is a genetically and clinically diverse disease, with a tremendous amount of genetic heterogeneity across various malignant tumor types, invading and destroying nearby parts of the normal tissues [1]. The incidence and death rates of cancer are increasing in many cancer types, such as liver cancer, lung cancer and prostate cancer [2]. Besides, the survival rate of cancer patients tends to be poor for the lack of diagnostic methods with sensitivity and specificity in developing countries [3]. Latest research results predicted that biomarkers can be useful during the detection of cancers [4].

Extracellular matrix metalloproteinase inducer (EMMPRIN, basigin, HAb18G, also known as CD147) is a type I transmembrane glycoprotein of the immunoglobulin superfamily with two immunoglobulin-like domains [5, 6]. EMMPRIN has been shown to be involved in various physiological as well as pathophysiological processes such as proliferation, migration, inflammation reaction and tumor invasion [7, 8]. An increasing number of studies have demonstrated that EMMPRIN is associated with tumor growth, invasion and angiogenesis in many malignant cancer, such as breast carcinoma [9], hepatocellular carcinoma [10] and prostate cancer [11], by regulating the expression of matrix metalloproteinases (MMPs) and vascular endothelial growth factor (VEGF) [12]. MMPs have been shown to decrease the angiogenesis of tumor cells and the expression of extracellular matrix, thereby contributing to tumor progression [13]. Recently, some research data indicated that expression of EMMPRIN was obviously higher in tumor tissues than adjacent normal tissues, indicating that EMMPRIN might be useful for the prediction of prognosis in cancers.

In this study, we performed a systematically meta-analysis to investigate the relationship between EPPRIN and cancers. The aim of this study is to evaluate the clinical significance of EPPRIN and its potential value when served as a prognostic indicator.

RESULTS

Search results and study characteristics

As presented in Figure 1, 992 potentially eligible studies from the databases were retrieved after duplicates removed. Through a carefully screening process, 938 articles were excluded. Of the remaining 54 studies, 15 studies were excluded for they did not meet the inclusion criteria. Finally, 39 cohort studies were included in our meta-analysis [13–51].

Figure 1. Flow diagram of the study selection process.

Figure 1

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The major characteristics of studies included were listed in Table 1. Among them, 29 were conducted in China, 3 from Germany, 2 from Portugal, 2 from Norway and 3 from America, Finland and Brazil respectively. We included a total of 5739 cases with different types of tumors, including bladder carcinoma, renal carcinoma, prostate carcinoma, penis carcinoma, colorectal cancer, breast cancer, thyroid carcinoma, ovarian carcinoma, glioblastoma. The testing methods of EMMPRIN were classified as immunohistochemistry (IHC) and tissue microassay. IHC staining was carried out using the paraffin-embedded block of cancer patients’ tissues compared to corresponding normal tissue, and the percentage of positive cells was calculated. The cut-off value was also list in Table 1.

Table 1. Characteristics of 39 pooled studies evaluating the association between EMMPRIN overexpression and cancer.

First author Year Country Cancer type Sample size Mean age Out comes RR (95% CI) Testing method Cut-off value
Zhaodong Han1 2008 China Bladder carcinoma 58 57.2± 11.2 PFS 3.66 (1.04-12.79) IHC 3+ (>51%)
Zhaodong Han2 2008 China Renal carcinoma 52 56.8± 10.8 PFS 3.06 (0.82-11.44) IHC As above
Zhaodong Han3 2008 China Prostate carcinoma 101 73.5± 12.3 PFS 4.87 (1.77-13.41) IHC As above
Zhaodong Han4 2008 China Penis carcinoma 17 46.5± 9.2 PFS 2.38 (0.34-25.30) IHC As above
Zhaodong Han5 2008 China testis carcinoma 17 48.6± 12.7 PFS 1.79 (0.22-19.94) IHC As above
Albrecht Stenzinger 2011 Germany Colorectal cancer 285 67 OS 3.09 (1.91-5.02) Tissue microassay NM
Jung-Woo Choi 2014 China Bladder cancer 360 69 OS 1.15 (0.50-2.67) Tissue microassay Scores 3
WeiDe Zhong 2010 China Bladder cancer 101 68 PFS/OS 3.31 (1.07-15.72) IHC 1 (>10%)
HUI TAN 2008 China Thyroid carcinoma 156 46 PFS 3.31 (1.07-15.72) IHC 3+ (>51%)
Xiaoyan Xua 2013 China Non-small cell lung cancer 192 60 OS 6.63 (2.46-17.90) IHC 3+ (>51%)
J. Afonso 2011 Portugal Bladder carcinoma 77 71 PFS/OS 3.25 (1.02-10.39) IHC 1 (>5%)
Xinjie Yang 2010 China Adenoid cystic carcinoma 72 58 OS 2.78 (1.25-6.19) IHC NM
YauHua Yu 2015 America squamous cell Carcinoma of the oral tongue 31 60 PFS/OS 2.82 (0.60-13.26) IHC Grade 2 (>25%)
Pascale Fisel 2015 Germany Clear cell renal cell Carcinoma 186 64 OS 5.50 (2.50-12.10) IHC Score 3
Daniel Buergy 2009 Germany Colorectal cancer 40 58 OS 2.50 (0.27-23.55) IHC >30%
Ovarian Cancer 2007 Finland Ovarian cancer 282 61 PFS 1.32 (0.98-1.80) IHC >10%
Ben Davidson 2003 Norway Ovarian carcinoma 41 59 OS 2.10 (0.76-5.81) IHC NM
Jian Gu 2008 China Pediatric gliomas 45 62 PFS 0.32 (0.11-2.09) IHC >51%
Songlin Piao 2012 China Salivary duct carcinoma 35 59 PFS/OS 2.95 (1.25-6.94) IHC Score 6
Fangfang Liu 2010 China Breast carcinoma 110 53 PFS/OS 2.18 (0.61-7.81) IHC >30%
Antônio Talvane 2012 Brazil Gastrointestinal stromal tumors 64 62 OS 1.13 (0.24-5.25) IHC Score 3
Min Yang 2013 China Glioblastoma 206 57 OS 2.42 (1.35-4.18) IHC Score 3
Wei Wu 2008 China Gallbladder carcinoma 60 52 OS 0.49 (0.21-1.72) IHC >75%
Tiefu Chen 2010 China Primary cutaneous Malignant melanoma 150 53 PFS/OS 7.32 (1.19-20.29) IHC >10%
YiJun Xue 2011 China Bladder cancer 118 58 OS 2.33 (1.15-4.73) IHC >51%
Ying Liu 2013 China Basal-like breast cancer 126 56 PFS/OS 5.41 (0.74-39.49) IHC NM
Shaojun Zhu1 2013 China Colorectal cancer 163 53 OS 8.88 (5.52-14.82) IHC Score 3
Shaojun Zhu2 2013 China Colorectal cancer 194 53 OS 3.51 (2.03-6.08) IHC As above
Shaojun Zhu3 2013 China Colorectal cancer 213 53 OS 1.89 (1.06-3.38) IHC As above
Zhaodong Han1 2009 China Prostate Cancer 39 74 OS 4.49 (0.29-69.18) IHC Score 2 (>25%)
Zhaodong Han2 2009 China Prostate Cancer 34 74 OS 3.54 (0.24-51.94) IHC As above
Che Zhang 2010 China Intrahepatic Cholangiocarcinoma 49 66 OS 0.98 (0.76-2.01) IHC >51%
Tongwei Chu 2011 China Pediatric Medulloblastoma 55 59 OS 3.50 (1.60-5.10) IHC Grade 2 (>10%)
Xiaoxia Gou 2014 China Laryngeal 48 64 OS 4.87 (0.47-23.50) IHC Score 3
Xinwen Zhong 2013 China Pulmonary Adenocarcinoma 180 68 OS 2.01 (1.26-3.21) IHC Score 3 (>51%)
K Boye 2012 Norway Colorectal cancer 277 NR OS 3.30 (1.40-7.80) IHC Score 2 (>25%)
Luís SilvaMonteiro 2014 Portugal Oral Squamous Cell Carcinomas 74 62 OS 3.89 (1.11-13.71) IHC Score 5
XingZhu Ju 2008 China Cervical Cancer 82 52 PFS 1.23 (0.52-2.90) IHC >51%
XinQiong Huang 2014 China Cervical Cancer 132 51 PFS 5.12 (2.56-12.78) IHC >25%
LingMin Kong 2011 China Hepatocellular carcinoma 54 60 OS 2.13 (0.78-5.79) Tissue microassay Score 3
Shu Zhao 2013 China Ttriple-negative breast cancer 127 47 OS 2.68 (1.08-6.66) IHC NM
Li Tian1 2013 China Astrocytic glioma 182 65 OS 2.57 (1.41-4.83) IHC Score 3
Li Tian2 2014 China Astrocytic glioma 151 65 OS 4.52 (2.88-10.96) IHC As above
Li Tian3 2015 China Astrocytic glioma 125 65 OS 6.61 (3.62-13.21) IHC As above
Dake Chu 2013 China Gastric cancer 223 60 PFS/OS 1.59 (1.05-2.40) IHC Score 3
Weide Zhong 2012 China Prostate cancer 240 62 OS 3.08 (1.62-5.85) Tissue microassay NM
Shaojun Zhu 2015 China Hepatocellular carcinoma 50 65 PFS 2.41 (1.61-13.70) IHC >25%
Quan Zhou 2011 China Osteosarcoma 65 55 PFS/OS 5.33 (0.57-49.56) IHC >51%
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NR: not reporte; IRS: immunoreactivity score.

EMMPRIN overexpression and survival in cancers

We used Hazard ratio (HR) and the corresponding 95% confidence interval (CI) to estimate the prognostic value of EMMPPRIN overexpression in cancers. A fixed-effect model was used to conduct the analysis due to the Heterrogeneity test (I2=61%, P<0.00001). The results indicated that EMMPRIN was significantly associated with OS in cancers (HR=2.46, 95% CI: 2.21-2.75, P<0.0001) (Figure 2).

Figure 2. Association between EMMPRIN overexpression and the outcome of cancer patients.

Figure 2

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Besides, we also conducted subgroup analysis stratified by cancer type (Figure 3), ethnicity (Figure 4) and survival condition (Figure 5). Based on the cancer type group of studies, the investigation indicated that high EMMPRIN expression was associated with poor survival in bladder cancer (HR=2.21, 95% CI: 1.44-3.41, P<0.0001), prostate cancer (HR=3.54, 95% CI: 2.10-5.97, P<0.0001), gastrointestinal cancer (HR=2.96, 95% CI: 2.40-3.65, P<0.0001), breast cancer (HR=2, 75, 95% CI: 1.37-5.50, P<0.0001), cervical cancer (HR=2.63, 95% CI: 1.46-4.37, P<0.0001), hepatocellular cancer (HR=2.26, 95% CI: 1.09-4.69, P<0.0001), ovarian cancer (HR=1.37, 95% CI:1.02-1.83, P<0.0001), glioma (HR=2.77, 95%CI: 1.44-5.31, P=0.002) and others (HR=2.72, 95% CI: 1.88-3.95, P<0.0001). As for the population group of studies, both the Asian ethnicity (HR=2.63, 95% CI:2.32-2.99, P<0.0001) and Caucasian ethnicity (HR=2.04, 95% CI:1.65-2.63, P<0.0001), the EMMPRIN overexpression predicted a poor prognostic value in cancers. In addition, based on the survival condition, the subgroup results indicated that the high EMMPRIN was associated with OS (HR=2.83, 95% CI:2.47-3.24, P<0.0001), PFS (HR=1.73, 95% CI:1.37-2.19, P<0.0001) and OS/PFS (HR=2.22, 95% CI:1.63-3.03, P<0.0001). All the results summarized were presented in Table 2.

Figure 3. Subgroup analysis results based on tumor type.

Figure 3

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Figure 4. Subgroup analysis results based on ethnicity.

Figure 4

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Figure 5. Subgroup analysis results based on survival condition.

Figure 5

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Table 2. Results of the overall and subgroup analyses for EMMPRIN overexpression and the outcome of cancer patients.

Categories No. of studies Cases Pooled HR 95% CI P value
Overall 39 5739 2.46 2.21-2.75 <0.0001
Cancer types
 Bladder cancer 5 714 2.21 1.44-3.41 <0.0001
 Prostate cancer 3 414 3.54 2.10-5.97 <0.0001
 Gastrointestinal cancer 6 1459 2.96 2.40-3.65 <0.0001
 Breast cancer 3 363 2.75 1.37-5.50 <0.0001
 Cervical cancer 2 214 2.63 1.46-4.73 <0.0001
 Hepatocellular cancer 2 104 2.26 1.09-4.69 <0.0001
 Ovarian cancer 2 323 1.37 1.02-1.83 <0.0001
 Others 18 2148 2.60 2.18-3.10 <0.0001
Population
 Asian 29 4382 2.63 2.32-2.99 <0.0001
 Caucasian 10 1357 2.04 1.65-2.63 <0.0001
Survival conditions
 OS 23 3829 2.83 2.47-3.24 <0.0001
 PFS 7 992 1.73 1.37-2.19 <0.0001
 OS/PFS 9 918 2.22 1.63-3.03 <0.0001
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Moreover, because the clinicopathological characteristics and driven factors are different in different cancers, we conducted a subgroup analysis during the tumor-stage-analysis based on cancer types (Supplementary Figure 1). The results indicated that high expression of EMMPRIN predicted an advanced tumor stage, which means our conclusion was relatively consistent, except for cervical cancer (HR=1.35, 95%CI: 0.73-2.48, p=0.33). According to our analysis, the expression of EMMRIN was not significantly associated with tumor stage in cervical cancer.

Besides, the cut-off value was not consistent among the studies included, thus we conducted a subgroup analysis based on the criteria of positive expression definition. The high cut-off value was identified when the percentage of positive cells is more than 50% or the scores are more than 3. And the low cut-off value was indentified when the percentage of positive cells is less than 50% and the scores are less than 3. Besides, 5 studies [35, 45, 46, 52, 53] enrolled in our meta-analysis provided no information of the cu-off value. Thus, these 5 studies were not included in the present subgroup analysis based on the criteria of positive expression definition. The results indicated that the high or low cut-off value didn’t affect our conclusion obviously (High: HR=2.76, 95%CI: 2.62-2.90, Low: HR=2.38, 95%CI: 2.33-2.44). Both the high cut-off value group and the low cut-off value group suggested the corresponding overexrepssion of EMMRIN predicted a poor prognosis outcome in cancers (Supplementary Figure 2).

EMMPRIN overexpression and clinicopathological features

All the results assessing the association between clinicopathological features and EMMPRIN expression were presented in Table 3.

Table 3. Results of clinicopathological factors related to EMMPRIN overexpression.

Subgroup No. of studies Cases Pooled OR 95% CI P value
Tumor stage (T3+T4/T1+T2) 24 4769 1.87 1.64-2.12 <0.0001
Differentiation (poor/ well +moderate) 14 3476 1.09 1.60-2.23 <0.0001
Clinical stage (III+IV/I+II) 25 4734 1.96 1.69-2.27 <0.0001
Nodal metastasis (negative/ positive) 12 2010 2.37 1.93-2.90 <0.0001
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We conducted analysis evaluating the clinicopathological features and EMMPRIN expression from the following aspects: tumor stage (Figure 6), differentiation (Figure 7), clinical stage (Figure 8) and nodal metastasis (Figure 9).

Figure 6. Association between EMMPRIN overexpression and tumor stage.

Figure 6

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Figure 7. Association between EMMPRIN overexpression and tumor differentiation.

Figure 7

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Figure 8. Association between EMMPRIN overexpression and clinical stage.

Figure 8

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Figure 9. Association between EMMPRIN overexpression and nodal metastasis.

Figure 9

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Among the included studies, 24 studies reported risk between high EMMPRIN expression and tumor stage. The results obviously indicated that the positive rate of EMMPRIN expression was significantly higher in cancers with tumor stage T3+T4 than with stageT1+T2 (OR=1.87, 95% CI:1.64-2.12, P<0.0001). Besides, the EMMPRIN overexpression was significantly associated with tumor differentiation (poor/ well+ moderate) (OR=1.09, 95% CI:1.60-2.23, P<0.0001). Stratified based on the clinical stage, the results showed a significant association between EMMPRIN expression and the risk of clinical stage III+IV than stage I +II (OR=1.96, 95% CI:1.69-2.27, P<0.0001). 12 studies compared the EMMPRIN expression negative nodal metastasis and positive nodal metastasis. The results showed that a higher EMMPRIN expression indicated a positive nodal metastasis (OR=2.37, 95% CI:1.93-2.90, P<0.0001).

Quality assessment and sensitivity analysis

The quality of each study included in our meta-analysis was assessed using The Newcastle-Ottawa Scale (NOS). A star system was used to calculate the score of each study and a study award with 5 scores or more was considered as high quality article. The scores of the 39 studies include in our research ranged from 7 to 9.

By omitting one individual study a time, sensitivity analysis between EMMPRIN overexpression and survival of cancer was conducted to investigate the potential sources of heterogeneity (Figure 10). The results indicated that overall risk estimate did not change, indicating a stable result of our meta-analysis.

Figure 10. Sensitivity test among studies included.

Figure 10

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Publication bias

According to the funnel plot (Figure 11), no evidence of obvious asymmetry existed. Furthermore, Begg’s funnel plot and Egger;s regression were also conducted to estimate the publication bias. The results (Table 4) showed no significant publication bias for pooled HR estimation. Similarly, there is no publication bias existed in the OR estimation and the subgroup of the analysis.

Figure 11. Funnel plot analysis investigating the publication bias between EMMPRIN overexpreession and cancer prognosis.

Figure 11

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Table 4. Results of Egger’s and Begg’s tests.

Comparison N Egger's test Begg's test
t P-value 95% CI Z P-value
Overall 48 1.4 0.167 (-0.30-1.69) 0.02 0.986
OS 28 -0.15 0.879 (-1.89-1.63) 0.18 0.859
PFS 11 1.31 0.224 (-0.73-2.71) 0.62 0.533
OS/PFS 9 4.67 0.002 (0.77-2.34) 1.15 0.251
Caucasian 10 1.71 0.127 (-0.47-3.12) 0.89 0.371
Asian 38 0.45 0.653 (-0.97-1.53) 0.62 0.538
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DISCUSSION

Most cancer deaths are due to metastasis with proliferation and angiogenesis [54]. Matrix metalloproteinases (MMPs), found in extracellular milieu of various tissues, are reported to be associated with poor survival of cancer patients [55]. Because of the specific structure, MMPs are responsible for the cancer metastasis, invasion, angiogenesis and tumorigenesis [56, 57]. And the MMPs are obviously up-regulated by the stimulated EMMPRIN, which makes EMMPRIN get involved with tumor metastasis [58]. It’s reported that EMMPRIN and MMP-9 can be found in normal keratinocytes [59] and tumor cells [60] and the expression of EMMPRIN is much higher in tumor tissues than the adjunct normal tissues [61]. Besides, EMMPRIN can interact with a verity of proteins, such as VEGF [62], lewis y antigen [63], caveolin-1 [64], cyclooxygenase-2 [65] and fascin [66], executing its effect on tumorigenesis by regulating tumor cell invasion, metastasis and adhesion.. Emerging evidence indicate that EMMPRIN is associated with prognosis of various cancers, however, the exact effects remains vaguely.

In the present study, the data from 39 studies with 5739 cases were analyzed to assess the association between EMMPRIN overexpression and its prognostic value in cancer. According to our analysis, EMMPRIN was significantly associated with poor outcome of cancer patients (HR=2.46, 95% CI: 2.21-2.75, P<0.0001). It’s been reported that in hepatocellular carcinomas, higher EMMPRIN expression correlates significantly with poor survival of patients. In breast cancer, the OS of patients with higher EMMPRIN expression was much shorter than those with lower EMMPRIN expression. The same situation also exists in other cancers. Our finding is consistent with the previous studies investigating the roles of EMMPRIN overexpression. Besides, our results revealed that higher expression of EMMPRIN was also an independent risk factor for the survival of cancer patients in Asian and Caucasian based on the subgroup stratified by ethnicity. The similar results are summarized when stratified by survival conditions.

To further investigate the prognostic value of EMMPRIN, the relationship between EMMPRIN expression and the clinicopathological factors was also analyzed in our meta-analysis. Our results suggested that higher EMMPRIN expression was obviously associated with worse clinicopathological features, including tumor stage (T3+T4/T1+T2), except for cervical cancer (HR=1.35, 95%CI:0.73-2.48, p=0.33), poor/ well+ moderate differentiation rate, clinical stage (III+IV / I +II) and nodal metastasis (negative/positive). This may also verify the strong association between EMMPRIN expression and the survival of tumor patients. This might be the first study to evaluate the clinicopathological significance of EMMPRIN in cancers. However the other clinicopathological factors, such as age, tumor location and sex, were not included in our analysis. Considering the complicacy of clinicopathological features, more studies on large populations are encouraged.

Because of the inconsistent method to test the EMMPRIN expression and positive criteria, we also analyzed the corresponding heterogeneity. Among all the 39 studies, 4 studies used TMA to detect the expression of EMMPRIN; the rest 35 studies used IHC to detect the expression of EMMPRIN, as indicated in our revised Table 1. Among these, 5 studies didn’t mention the cut-off value of positive expression of EMMPRIN. Both the percentage of positive cells and the intensity of staining scores were used according to different studies. However, the results indicated that our conclusion was relatively consistent. No obvious discrepancy was found during the analysis. Although the pathogeneses of different cancer types are divergent, our results could prove the prognostic value of EMMPRIN in cancers for the reasons below. First, high expression of EMMPRIN predicted worse overall survival in each sub grouped cancer. Second, elevated EMMPRIN expression was significantly associated with poor survival of cancer patients in a pooled analysis in all included cancers. It means that EMPPRIN might be a universally applicable biomarker in cancers.

The mechanism lied behind this correlation still remain unknown. MMPs stimulated by EMMPRIN in human cancers may account for one of these mechanisms. By activating signal transduction cascades through degrading extracellular matrix proteins, MMPs can enhance tumor metastasis and invasion [37]. It’s also been demonstrated that tumor progression could be inhibited by silencing EMMPRIN by RNA interference approach [67, 68]. In order to select a therapeutic strategy and to allocate medical resources with reasonableness, an accurate method to predict the prognosis of cancer patients is required [69]. Our meta-analysis concluded that EMMPRIN could be a prognostic marker in solid tumors.

However, some limitations still exist in result of the current meta-analysis. First, for subgroup analysis stratified by cancer type, some types have insufficient studies to summarize the main effect, such as gallbladder carcinoma and penis carcinoma. Second, several studies included used Engage Digitizer 4.1 to estimate the data because only Kaplan-Meier curve was provided, thereby leading to unavoidable calculation errors. Third, some clinicopathological factors, such as age, tumor location and sex, were not included in our analysis due to the insufficient data. Fourth, the cut-off values were inconsistent in the studies included, and this could be one source of heterogeneity. Therefore, more well-designed studies are needed to validate the findings of the current study.

In conclusion, EMMPRIN overexpression predicts a poor prognosis outcome of cancer patients and is significantly relevant to clinicopathological features. Therefore, EMMPRIN might be a reasonable prognostic bio-maker and therapeutic target of cancer.

MATERIALS AND METHODS

There is no review protocol exists.

Literature search

We comprehensively searched for published literature by consulting the electronic database PubMed, Cochrane Library databases and Web of Science before October 10, 2016, without language and publication restrictions. Studies were selected using the following terms: “Extracellular matrix metalloproteinase inducer” or “EMMPRIN” or “CD147” or “HAb18G” and “basigin” in combination with “cancer,” “tumor,” “carcinoma” and “neoplasm”. The references of retrieved articles were also reviewed for any potential eligible data and authors were contacted for specific information if necessary. Oncomine (User ID: 1610636@tongji.edu.cn) and TCGA (analyzed by cBioPortal) were searched to make our research complete. The literature search was performed independently by H. Fan and W. Yi with double check and consensus to resolve all the disagreements.

Study selection

The studies were included if they met the following criteria: 1) the article enrolled should be case-control and cohort study; 2) expression of EPPRIN needs to be identified as positive with specific methods in cancer patients; 3) the relationship between EPPRIN expression and the time-to-event outcome, which was precisely defined, was reported; 4) sufficient data was provided to calculate the odds ratio (OR) and the hazard ratio (HR) with the corresponding 95% confidence intervals (CI) (ether directly obtained or indirectly calculated from Kaplan-Meier survival curves). Studies were ineligible if they were case reports, reviews, letters, duplicate studies, and articles without sufficient data. If more than one article focused on the same population, we preferred the latest one.

Data extraction

Information was carefully extracted from all the eligible studies by two investigators (H. Fan and C. Wang) independently, including: the first author’s name, publication year, the ethnicity, cancer type, sample size, testing method, survival condition, duration of follow-up, EPPRIN expression data and the HRs and ORs with the corresponding 95% CI. Software Engauge Digitizer 4.1 was used to extract data if the study provided a Kaplan-Meier curve only.

Quality assessment

We used Newcastle-Ottawa Quality Assessment Scale (NOS) to evaluate the quality of every study enrolled. Each item could be awarded with one point when meeting the requirement (total score ranged from 0 to 9). Studies got a score of 6 or more were considered to be of high quality.

Statistical analysis

Review Manager 5.3 was used to perform all statistical analyses. Hazard ratios (HRs) and corresponding 95% confidence intervals (CIs) were used to evaluate the significance of the association between EPPRIN expression and the outcome of patients. The odds ratios (ORs) and corresponding 95%CI were used to analyze the correlation between EPPRIN overexpression and clinicopathological parameters, such as tumor stage, nodal metastasis and clinical grade. Q-test and I2 index were used to assess the heterogeneity between studies. A random-effects model was conducted when the heterogeneity was considered statistically significant (P<0.01). Otherwise, a fixed-effects model was conducted. Begg’s and Egger’s asymmetry tests were used to assess the potential publication bias. By omitting a study one time, sensitivity analysis was conducted to assess the stability of our results. Begg’s and Egger’s asymmetry tests and sensitivity analysis were performed by STATA software version 12.0 (STATA Corporation, College Station, TX, USA).

SUPPLEMENTARY MATERIALS FIGURES

Acknowledgments

We would like to express our gratitude to all those who helped us during the writing of this thesis. And thanks for the great ideal of J. Wang. We also gratefully acknowledge the help of professors for polishing our language.

Abbreviations

EMMPRIN

extracellular matrix metalloproteinase inducer

HR

hazard ratio

OR

odds ratio

MMPs

matrix metalloproteinases

VEGF

vascular endothelial growth factor

IHC

immunohistochemistry

CI

confidence interval

OS

overall survival

PFS

progression-free survival

Author contributions

The literature search was performed independently by H. Fan and W. Yi with double check and consensus to resolve all the disagreements. Information was carefully extracted from all the eligible studies by H. Fan and C. Wang independently. The statistical analysis was conducted by H. Fan, W. Yi, C. Wang and J. Wang. And the ideas of this meta-analysis was designed by J. Wang.

CONFLICTS OF INTEREST

The authors report no conflicts of interest in this work.

FUNDING

None.

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