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Erschienen in: Journal of Translational Medicine 1/2019

Open Access 01.12.2019 | Research

Clinicohistopathological implications of MMP/VEGF expression in retinoblastoma: a combined meta-analysis and bioinformatics analysis

verfasst von: Jingyi Zhu, Xi Zhang, Liqianyu Ai, Rongdi Yuan, Jian Ye

Erschienen in: Journal of Translational Medicine | Ausgabe 1/2019

Abstract

Background

No in-depth systematic evidence is available for assessing retinoblastoma malignancy and eligibility for subsequent treatment.

Methods

The Cochrane Library, EMBASE, PubMed, Web of Science, and China Biology Medicine databases were searched, and 16 studies comprising 718 retinoblastoma patients were included. Pooled odds ratios (ORs) and summary correlation coefficients (r) with 95% confidence intervals (CIs) in random-effects, fixed-effects or quality-effects models were calculated using Review Manager 5.3 and MetaXL. GO functional annotation and KEGG pathway analysis were performed using the GO and STRING databases.

Results

We observed significant associations between high levels of MMP-1 (OR, 4.21; 95% CI 1.86–9.54), MMP-2 (OR, 11.18; 95% CI 4.26–29.30), MMP-9 (OR, 10.41, 95% CI 4.26–25.47), and VEGF (OR, 8.09; 95% CI 4.03–16.20) with tumor invasion; high levels of MMP-1 (OR, 3.58; 95% CI 1.48–8.71), MMP-2 (OR, 2.96; 95% CI 1.32–6.64), MMP-9 (OR, 5.49; 95% CI 3.55–8.48) and VEGF (OR, 5.30; 95% CI 2.93–9.60) with poor differentiation; and overexpression of MMP-9 (OR, 5.17; 95% CI 2.85–9.38) with advanced clinical stages. Moreover, MMP-9 and VEGF expression were positively correlated (r, 0.61; 95% CI 0.38–0.77). Multiple GO terms were enriched associated with MMP-1, MMP-2, MMP-9 and VEGF, and they are closely associated with pathways, proteoglycans and microRNAs related to cancer.

Conclusions

MMP-1, MMP-2, MMP-9 and VEGF play important roles in the development and progression of retinoblastoma. High levels of MMP-1, MMP-2, MMP-9 and VEGF are credible implications for increased malignancy, thus the need for more aggressive treatments.
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Abkürzungen
MMP
matrix metalloproteinase
VEGF
vascular endothelial growth factor
PRISMA
Preferred Reporting Items for Systematic Reviews and Meta-Analyses
CBM
China Biology Medicine
LCIs
lower confidence intervals
ORs
odds ratios
BP
biological process
CC
cellular component
MF
molecular function
GO
gene ontology
KEGG
Kyoto Encyclopedia of Genes and Genomes
IHC
immunohistochemistry

Background

Retinoblastoma is an extremely rare cancer that rapidly develops from immature retina cells, the light-detecting portion of the eye [1]. It is the most common pediatric malignant cancer of the eye and can easily lead to the loss of either sight or the eyeball and even death during early childhood [2]. The incidence and degree of malignancy of retinoblastoma are higher in developing countries than those in developed countries; moreover, cure rates remain unsatisfactory in developing countries, with relatively high morbidity and mortality, lower rates of eye salvage and higher rates of extraocular dissemination [35]. Survival rates in high-income countries can be greater than 95%, while the global survival rate is less than 30% [2]. Poor outcomes in retinoblastoma patients from developing countries are a concern worldwide.
The therapeutic options for retinoblastoma have undergone sweeping changes over the years; these mainly include chemotherapy, focal or consolidation therapy (e.g., laser photocoagulation, cryotherapy, thermotherapy and plaque brachytherapy), external beam radiotherapy and enucleation [6, 7]. While enucleation is progressively being supplanted by globe-sparing treatments to save the eyeball, this strategy may lead to compromised survival rates, as conservative treatments may not be as effective as enucleation for preventing tumor metastasis for potentially high-risk eyes. Therefore, the choice of conservative treatments with fewer side effects or aggressive therapies with greater survival rates is highly dependent on the assessment of the extent of intraocular disease and the extraocular tumor spread [7, 8]. However, in-depth systematic evidence available for estimating outcomes and eligibility for subsequent treatments is limited in retinoblastoma. Under these circumstances, it is crucial to identify biomarkers that predict retinoblastoma development, progression and clinical outcomes and can help determine the optimal treatment in the delicate balance between preserving the eyeball, vision and life.
Multiple markers have been suggested to be associated with the clinical features of retinoblastoma [9]. However, our preliminary search suggested that matrix metalloproteinases (MMPs) and vascular endothelial growth factor (VEGF) have been studied most. MMPs and VEGF regulate extracellular matrix (ECM) remodeling and microvascular permeability during angiogenesis [1012]. The MMP family, a zinc-dependent endopeptidase family, regulates the degradation of the ECM and basal membrane [13]. Additionally, clinical studies have identified MMPs as prognostic markers and therapeutic targets in multiple types of cancer [14, 15]. VEGF is the most thoroughly and widely explored proangiogenic factor in tumors, including retinoblastoma, a heavily vascularized tumor [1618]. Activated MMPs and VEGF are suggested to facilitate malignant cell growth, invasion, metastasis, angiogenesis and even chemoresistance in retinoblastoma [1821]. The importance of these genes in retinoblastoma highlights their importance as candidates in our research. Moreover, MMPs and VEGF are closely related in oncogenesis and tumor progression, which increases our interest in their correlation [2224]. For example, MMP-9 and MMP-2 inhibition may reduce VEGF expression and, thus, angiogenesis in retinoblastoma cell lines [25, 26]. However, whether MMPs and VEGF are coexpressed in retinoblastoma how they interact in pathways related to tumorigenesis and metastatic spread remain unknown.
Although remarkable progress in retinoblastoma therapies has been achieved, identification of systematic evidence for basing therapy recommendations or consensus has not progressed to the same extent. To the best of our knowledge, no systematic reviews or meta-analyses have investigated this issue. A scattering of single-center experimental studies exists, but the inadequate sample sizes of single studies reduce their credibility. Therefore, we conducted a meta-analysis to evaluate the significance of the MMPs/VEGF in predicting clinicopathological characteristics, thus providing comprehensive evidence for a better understanding of retinoblastoma biology, predicting prognosis and developing novel targeted therapies.

Methods

Search strategy

This meta-analysis was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [27].
A systematic search of the literature was conducted in PubMed, EMBASE, Cochran Library, and China Biology Medicine (CBM) through April 31, 2018. The following search strategy was applied: (“matrix metalloproteinase” or “MMP” or “stromelysin” or “collagenase” or “gelatinase” or “VEGF” or “vascular endothelial growth factor” or “VEGF-A”) and “retinoblastoma”. We retrieved 712 unique citations. Two authors examined the search results individually to identify relevant studies. Disagreements between the two reviewers were settled by discussion with a third reviewer. First, the title and abstract were screened to exclude obviously irrelevant articles. Then, full texts of articles were obtained and reviewed for eligibility. Reference lists of included articles and pertinent reviews were also searched (PRISMA flow diagram; Fig. 1).

Eligibility criteria

Articles were included if the following inclusion criteria were met: (1) original clinical studies with clinical diagnosis of retinoblastoma; (2) studies that investigated associations between MMP or VEGF expression and clinicopathological parameters such as clinical stage, tumor differentiation and invasion; (3) protein expression analysis as measured by immunohistochemistry (IHC) assays; and (4) information for OR and r estimation that could be obtained directly from the article. The exclusion criteria were as follows: (1) case reports, reviews, editorial letters, comments, or nonhuman research; (2) duplicate publication in different journals or languages; and (3) studies in which patients underwent any presurgical treatment such as chemoreduction.

Data extraction and quality assessment

Baseline demographic and clinical data were independently extracted by two investigators using a standard form and included the following information: author, year of publication, country of origin, patient baseline characteristics, detection method, cutoff value of positive expression and clinicopathological outcomes. After browsing all eligible trials, we selected MMP-1, MMP-2, MMP-9 and VEGF as our targeted molecules and tumor invasion, histodifferentiation and clinical stage as our outcomes. Other molecules and parameters were not evaluated due to insufficient data. During the data extraction, we noticed that many studies provide the coexpression pattern of candidate genes; therefore, we combined these data.
Study quality was assessed by the Newcastle–Ottawa Scale (NOS) with some modifications. The NOS is an 8-item scale for the assessment of study quality based on 3 aspects: patient selection, comparability and outcomes. The total score was 9 points, while a score ≥ 6 indicated good quality [28].

Pathway analysis

Gene Ontology Analysis was conducted using the Functional Enrichment analysis tool (FunRich) [29, 30]. Results from the Kyoto Encyclopedia of Genes and Genomes (KEGG) were obtained through Cytoscape StringAPP [31], which can be accessed from the Search Tool for the Retrieval of Interacting Genes (STRING, https://​string-db.​org/​) database [32]. GO analysis results with a Bonferroni corrected P value of less than 0.05 and KEGG pathways with a false discovery rate less than 0.05 were considered significant and displayed in the data.

Integration of the PPI network

The interactive relationships among MMP-1, MMP-2, MMP-9, and VEGF were mapped using the online STRING database. Interactions with a combined score > 0.700 were defined as statistically significant.

Statistical methods

Odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) were calculated to assess the correlations between the candidate protein expression levels and clinicopathological parameters. If the corresponding 95% CI for each pooled OR did not overlap 1, then the summary effects were statistically significant.
Regarding the coexpression of MMP-9 and VEGF in retinoblastoma, outcomes were presented as r with 95% confidence intervals (CIs). Spearman correlation coefficients and sample size were extracted from the primary publications and combined by the statistical add-in software MetaXL (MetaXL, version 5.0; http://​www.​epigear.​com/​index_​files/​metaxl.​html). Before weighting and pooling the data, Fisher’s z transformation was performed to stabilize the variance of the r, which would otherwise tend to grow smaller as r approaches 1. Detailed information for Fisher’s z transformation is included in the “MetaXL User Guide”. If the pooled r was larger than 0, and the corresponding 95% CI did not overlap 0, the two genes were considered coexpressed [33].
Statistical heterogeneity was estimated using a Chi square test and a Q-test. Quality-effects (QE), random-effects (RE) and fixed-effects (FE) models were all used in the analyses to determine whether the conclusion was consistent and stable. However, when I2 ≥ 50% or the P value for the Q-test ≤ 0.10, heterogeneity was considered to be significant, in which case the FE model for summary estimation was abandoned. For convenience, the OR in this paper refers to the RE model without specific comments.
Sensitivity analysis was conducted using several methods to verify the validity and reliability of the conclusions. Each individual study was removed successively to ascertain its effects on the results. In addition, different models (RE, FE and QE) were applied using Review Manager version 5.3 and MetaXL to confirm the stability of the results. The QE model is a new estimation method implemented in MetaXL. It is a modified version of the FE model that does not consider the level of heterogeneity and represents a more convincing alternative to the RE model [34, 35].
We used Begg’s funnel plots to evaluate the publication bias of included studies. However, accurate appraisal was not possible due to the limited number of studies.

Results

Inclusion of studies

A diagram of the literature search is shown in Fig. 1. A total of 712 records published before April 31, 2018, were identified through searches of the online databases. After screening the titles and abstracts and reviewing the full text, a large number of articles (676 references) were discarded, mainly because most studies are irrelevant to retinoblastoma (Fig. 1). Finally, 16 primary articles with 718 patients (725 eyes) conducted in China, India and Egypt that satisfied the inclusion criteria were included [9, 3650]. For patients with bilateral retinoblastoma, we randomly selected one eye and pooled the effects with the data provided. When the requisite information was not available, both eyes were included.
Table 1 shows an overview of the included studies. The studies were confined to China, Egypt and India, likely because these populous countries encompass more retinoblastoma patients [2, 51]. Additionally, the outcomes of retinoblastoma patients are still unsatisfactory in these developing countries [2, 4]. The main results of the meta-analysis are summarized in Table 2.
Table 1
Main characteristics of studies included in the meta-analysis
Study
Country
Inclusion period
Number of patients
Gender
Eye
Age
Clinical staging
Tumor invasion
Histological type
Preoperative treatment
Detection method
Expression evaluation standards
MMP types
NOS score
Male/female
Right/left
/II+III
N0/NX
Well + moderately/poorly diff
Yun Li et al. (2006)
China
1996–2005
30
18/12
NA
Range 4 month–6 years
Median 2.9 years
13/17
17/13
11/19
NA
IHC
Proportion
MMP-1
MMP-9
8
Haiyan Li et al. (2012)
China
2002–2011
52
31/21
33/29
Range 6 month–9 years
Mean 5.1 ± 1.2 years
NA
28/24
24/28
No chemo
IHC
Proportion + intensity
MMP-1
MMP-9
VEGF
7
Siqi Yuan et al. (2010)
China
2000–2009
31
23/18
NA
Range 5 month–9 years
Median 3.3 years
NA
17/14
13/18
NA
IHC
Proportion + intensity
MMP-1
VEGF
6
Mohan Adithi et al. (2006)
India
2000–2003
55
35/20
29/26
Range 1 month–14 years
Median 2 years
0/55
23/32
21/34
No chemo
IHC
Proportion
MMP-2
MMP-9
8
Yang Yang et al. (2013)
China
2001–2012
45
23/22
24/21
Range 2 month–8 years
36/9
26/19
17/28
No chemo
No radio
IHC
Proportion
MMP-2
6
Lin Zhou et al. (2010)
China
1989–2010
40
23/17
17/23
Range 4 month–18 years
Median 2.9 years
NA
27/13
15/25
No chemo
No radio
IHC
Proportion + intensity
MMP-2
MMP-9
VEGF
6
Jun Liang et al. (2017)
China
2011–2016
100
66/34
NA
Range 4 month–11 years
Median 4.2 years
39/61
NA
55/45
NA
IHC
Proportion + intensity
MMP-9
VEGF
8
Yan Sun et al. (2014)
China
2000–2011
56
29/27
NA
Range 3 month–7 years
Mean 3.6 years
20/16
28/28
31/25
No chemo
IHC
Proportion + intensity
MMP-9
7
Zhen Ge et al. (2007)
China
1995–2005
32
19/13
NA
Range 4 month–10 years
Median 3.1 years
NA
21/11
12/20
No chemo
IHC
Proportion + intensity
MMP-9
VEGF
6
Zixu Wu et al. (2011)
China
2000–2010
41
23/18
NA
NA
29/12
24/17
20/21
NA
IHC
Proportion + intensity
MMP-9
6
Jia Yu et al. (2009)
China
1990–2006
47
25/12
20/27
Range 6 month–10 years
NA
32/15
17/30
No chemo
No radio
IHC
Proportion + intensity
MMP-9
VEGF
6
Yuejun Liu et al. (2014)
China
2010–2014
30
18/12
NA
Mean 5.2 years
NA
17/13
12/18
No chemo
IHC
Proportion + intensity
MMP-9
6
Ying Jiang et al. (2004)
China
1999–2002
22
NA
NA
Range 2 month–5 years
Mean 2.4 years
NA
14/8
8/14
No chemo
No radio
IHC
Proportion
VEGF
7
Nermeen S Youssef et al. (2014)
Egypt
2009–2013
56
24/32
23/40
Mean 20.94 m ± 11.75 months
NA
26/30
36/20
No preoperative adjunctive treatments
IHC
percentage
VEGF
8
Lijuan Meng et al. (2011)
China
NA
48
27/21
22/26
Range 5 month–8y
NA
21/27
19/29
No chemo
No radio
IHC
Proportion × intensity
MMP-9
VEGF
6
Li Fang et al. (2010)
China
2000–2007
33
18/15
14/19
Range 6 month–9 years
NA
22/11
12/21
No chemo
No radio
IHC
Proportion + intensity
VEGF
6
m month, y year, IHC immunohistochemistry, NA not available, chemo chemotherapy, radi radiation therapy, diff differentiation, N0: absent local invasion, Nx optic nerve, optic nerve, choroidal, or scleral invasion, Proportion percentage of positive cells, intensity staining intensity of positive cells
Table 2
Summary of the main findings from the meta-analysis
Outcome-molecular
No. of patients/studies
Random-effects model
Quality-effects modela
Fixed-effects modelb
OR(s) or r (95% CI)
Test for overall effects (P)
Overall heterogeneity (I2), %
OR(s) or r (95% CI)
Overall Heterogeneity (I2), %
OR(s) or r (95% CI)
Test for overall effects (P)
Overall heterogeneity (I2), %
Tumor invasion
 
OR
  
OR
 
OR
  
 MMP-1
113/3
4.21 (1.86–9.54)
0.0006
0
4.14 (1.83–9.39)
0
4.21 (1.87.9/47)
0.0005
0
 MMP-2
140/3
11.18 (4.26–29.30)
< 0.00001
0
11.24 (4.29–29.50)
0
11.46 (4.41–29.79)
< 0.00001
0
 MMP-9
431/10
10.41 (4.26–25.47)
< 0.00001
59
6.37 (2.48–16.35)
57
 VEGF
409/10
8.09 (4.03–16.20)
< 0.00001
0
8.08 (4.03–16.19)
0
9.93 (5.11–19.30)
< 0.00001
0
Tumor differentiation
 
OR
  
OR
 
OR
  
 MMP-1
113/3
3.58 (1.48–8.71)
0.005
13
3.42 (1.40–8.33)
13
3.55 (1.60–7.89)
0.002
13
 MMP-2
140/3
2.96 (1.32–6.64)
0.009
13
3.03 (1.35–6.81)
13
3.01 (1.45–6.25)
0.003
13
 MMP-9
474/10
5.49 (3.55–8.48)
< 0.00001
0
6.37 (2.48–16.35)
57
5.77 (3.77–8.83)
< 0.00001
0
 VEGF
510/11
5.30 (2.93–9.60)
< 0.00001
38
4.93 (2.71–8.96)
0
5.04 (3.23–7.87)
< 0.00001
38
Clinical stage
 
OR
  
OR
 
OR
  
 MMP-9
227/4
5.17 (2.85–9.38)
< 0.00001
0
5.22 (2.88–9.48)
0
5.19 (2.87–9.39)
< 0.00001
0
Gender
 
OR
  
OR
 
OR
  
 MMP-9
152/3
0.60 (0.26–1.34)
0.21
32
0.60 (0.27–1.36)
32
0.60 (0.31–1.15)
0.12
32
Coexpressiona
 
r
  
r
    
 MMP-9 and VEGF
287/5
0.61 (0.38–0.77)
84
0.59 (0.34–0.77)
84
No number, OR odds ratio, r summary correlation coefficients, CI confidence intervals
aThese results are calculated using statistical add-in software MetaXL, in which the p value of testing for overall effects is not provided
bThe fixed-effects model is applied only when I2 ≤ 50%

Expression and clinicopathological characteristics

Three members of the MMP family, MMP-1, MMP-2 and MMP-9, were assessed after computer and manual searches. Among the remaining members, only MMP-14 was reported in two related studies, which was still insufficient to conduct a meta-analysis. Therefore, the remaining members of the MMP family are not included. Data on the following tumor-related parameters were extracted: histological differentiation, clinical stage and tumor invasion of the retinoblastoma. Specifically, tumor invasion data in most of the included studies were related to optic nerve invasion, except Mohan’s report, which included the choroid, optic nerve and orbit [41, 52]. In our analysis, tumor invasion is divided into two classes; any kinds of optic nerve invasion detected is defined as NX (pre/post laminar, cut end, etc.), otherwise it is N0. The retinoblastoma stages in enrolled trials differed,thus we reclassified them into two stages: Localized/Regional stage and advanced stage. Localized/Regional stage refers to stage (I + II), and advanced tumor stage is defined as stage (III + IV) in International Classification of Intraocular Retinoblastoma (IIRC) developed by Murphree [53].
Table 2 shows major conclusions from our meta-analysis.
We revealed that increased expression of MMP-1 (OR = 4.21, 95% CI 1.86–9.54, P = 0.0006, RE model; OR = 4.14, 95% CI 1.83–9.39, QE model), MMP-2 (OR = 11.18, 95% CI 4.26–29.30, P < 0.00001, RE model; OR = 11.24, 95% CI 4.29–29.50, QE model), MMP-9 (OR = 10.41, 95% CI 4.26–25.47, P < 0.00001, RE model; OR = 6.37, 95% CI 2.48–16.35, QE model), and VEGF (OR = 8.09, 95% CI 4.03–16.20, P < 0.00001, RE model; OR = 8.08, 95% CI 4.03–16.19, QE model) was significantly associated with tumor metastasis (Fig. 2). No heterogeneity was found (MMP-1: P = 0.61, I2 = 0%; MMP-2: P = 0.70, I2 = 0%; VEGF: P = 0.55, I2 = 0%), except for MMP-9 (P = 0.009, I2 = 59%) (Additional file 1: Figure S1). An FE model was also applied, and the conclusions are consistent with results from the RE model (data not shown).
The association of gene expression level with tumor differentiation was also investigated. Overexpression of MMP-1 (OR = 3.58, 95% CI 1.48–8.71, P = 0.005, RE model; OR = 3.42, 95% CI 1.40–8.33, QE model), MMP-2 (OR = 2.96, 95% CI 1.32–6.64, P = 0.009, RE model; OR = 3.03, 95% CI 1.35–6.81, QE model), MMP-9 (OR = 5.49, 95% CI 3.55–8.48, P < 0.00001, RE model; OR = 5.50, 95% CI 3.55–8.51, QE model) and VEGF (OR = 5.30, 95% CI 2.93–9.60, P < 0.00001, RE model; OR = 4.93, 95% CI 2.71–8.96, QE model) was related to poor histological differentiation (Additional file 2: Figure S2). No obvious heterogeneity was identified among all involved subjects (MMP-1: P = 0.32, I2 = 13%; MMP-2: P = 0.32, I2 = 13%; MMP-9: P = 0.74, I2 = 0%; VEGF: P = 0.10, I2 = 38%) (Additional file 2: Figure S2). Similar results were attained using the FE model (data not shown).
We failed to study the relationship between these molecules and other clinicopathological parameters of retinoblastoma due to insufficient original data. However, we determined that higher MMP-9 levels correlate with advanced tumor stage (OR = 5.17, 95% CI 2.85–9.38, P < 0.00001, RE model; OR = 5.22, 95% CI 2.88–9.48, P < 0.00001, QE model) (Additional file 3: Figure S3), independent of gender (OR = 0.60, 95% CI 0.26–1.34, P = 0.21, RE model; OR = 0.60, 95% CI 0.27–1.36, P = 0.12, QE model) (Additional file 3: Figure S3). Pooled data from the FE model led to the same conclusion (data not shown). No significant heterogeneity was observed among these studies (tumor stage: P = 0.83, I2 = 0%; gender: P = 0.23, I2 = 32%) (Additional file 3: Figure S3).

Coexpression of MMP-9 and VEGF

VEGF and MMPs, especially MMP-9, often work in parallel in various pathological conditions. Using STRING (a database covering 9,643,763 proteins from 2031 organisms), we constructed a PPI, which showed the relationship between MMPs and VEGF. There were 4 nodes and 6 edges in the network, confirming that VEGF is correlated with all three other proteins (Additional file 4: Figure S4). Next, we investigated MMP-9 and VEGF coexpression in retinoblastoma tissue, and demonstrated that MMP-9 and VEGF expression are positively correlated (r = 0.61, 95% CI 0.38–0.77, RE model; r = 0.59, 95% CI 0.34–0.77, QE model) (Additional file 3: Figure S3C). However, the studies exhibited significant heterogeneity (P = 0.00, I2 = 84% for both models). Therefore, the FE model was not used.

Bioinformatics analysis of MMP-1, MMP-2, MMP-9 and VEGF

To determine the functions of MMP-1, MMP-2, MMP-9 and VEGF in retinoblastoma, these four genes were mapped to the Gene Ontology (GO) database. The GO terms including biological process (BP), cellular component (CC) and molecular function (MF) were performed and shown in Fig. 2 based on the detection P value. These four genes are associated to functions enriched in multiple components, such as cytoplasm, cell surface, plasma membrane and extracellular region. In the BP term, process including signal transduction, cell communication and protein metabolism were enriched; the functions were predominantly associated with growth factor activity and metalloproteinases activity. The KEGG pathway is shown in Table 3, which confirmed that these four genes are closely related to cancer and the estrogen signaling pathway.
Table 3
KEGG pathway
Pathway description
Observed gene count
False discovery rate
Matching proteins
Pathways in cancer
4
8.43E−06
MMP1, MMP2, MMP9, VEGFA
Proteoglycans in cancer
3
0.000453
MMP1, MMP2, MMP9, VEGFA
Estrogen signaling pathway
2
0.007
MMP2, MMP9, VEGFA
Leukocyte transendothelial migration
2
0.00862
MMP1, VEGFA
MicroRNAs in cancer
2
0.0118
MMP9, VEGFA

Assessments of potential biases and sensitivity

Sensitivity analyses were conducted by sequentially omitting each study and repeating the analysis (Additional file 5: Figure S5). No individual study was found to contribute effects that were able to change the overall trends; therefore, the results of the meta-analysis are stable. Findings from different models further supported our results.
Publication bias was evaluated by visual inspection of Begg’s funnel plot. Asymmetry was noted in the analysis of the association between tumor invasion and VEGF expression, as well as the correlation between MMP-9 and VEGF expression in retinoblastoma, indicating possible publication bias (Additional file 6: Figure S6).

Discussion

Retinoblastoma is a curable intraocular tumor of the pediatric population [1, 54]. However, due to relatively late detection and primitive medical care, retinoblastoma appears to be a serious vision- and life-threatening disease in developing countries. Management of retinoblastoma depends on cooperative, multidisciplinary efforts and comprehensive surveillance and evaluation of the tumor [6, 55]. Unfortunately, we have lagged behind in providing systematic evidence on which to base the choice of treatment; nevertheless, great progress has been achieved in therapeutic methods for retinoblastoma. Thus, our systematic review and meta-analysis sought to contribute missing data examining tumor invasion, differentiation and clinical stages in the hope of more precisely predicting the long-term outcomes and determining individualized therapies for retinoblastoma.
In this meta-analysis, we assessed the clinicopathological significance of MMPs and VEGF in retinoblastoma and detected a potential relationship between MMP-9 and VEGF expression. The results confirm that MMP-1, MMP-2, MMP-9, and VEGF overexpression is highly related to poor retinoblastoma differentiation and tumor invasion. Moreover, MMP-9 overexpression is associated with tumor stage, regardless of the gender of the patients. Except for MMP-1, the lower confidence intervals (LCIs) of the ORs are all greater than 3, which implied intensely significant correlations. The findings suggest that these genes participate in tumorigenesis and metastasis, which is in agreement with previous experimental studies. However, according to the study by Nermeen, overexpression of VEGF may be irrelevant to poor differentiation [9], whereas our study of a Chinese population reported the opposite result. This contradiction implies that VEGF may play distinct roles in retinoblastoma oncogenesis among different races.
Multiple measures, including quality assessment, public bias evaluation, and sensitivity and heterogeneity analyses have been adopted to control potential biases while exploring the main outcomes. The quality of studies included in this analysis was acceptable, as their NOS scores were all greater than 6. Regarding publication bias, the funnel plots display asymmetry between certain groups, probably due to language and ethic confinement in enrolled studies. Additionally, it is possible that MMP/VEGF expression in progressed retinoblastoma has been previously reported in other studies, leading more researchers to validate the findings in their specific patient populations. The limited number of trials deters us from further investigation. Aside from conventional meta-analysis, our study employs a novel QE model in addition to the FE and RE models to pool the effects. The QE model is an updated estimator for meta-analyses and has the advantage of a decreased mean squared error and reduced observed variance compared with the RE model. Regardless of the level of heterogeneity, the QE model maintains the correct coverage probability of the confidence interval [56]. With three different models to weight the average, our results should be more convincing. Certain included studies introduced a high level of heterogeneity across studies, such as Nermeen’s study as shown in Additional file 2: Figure S2D, Mohan’s study as shown in Additional file 3: Figure S3B and Lin Zhou’s study as shown in Additional file 3: Figure S3C, but their removal did not lead to changed conclusions, implying that the results are relatively stable.
Although prognostic markers are widely investigated and applied in other malignant tumors, such as lung cancer, they have remained undetermined in retinoblastoma [57, 58]. Possible reasons include an insufficient number of samples due to the rarity of the disease and cautious application of biopsy. Fearing tumor dissemination and extraocular metastasis development, the diagnosis and grading of retinoblastoma using biopsy are usually discouraged [59]. However, several biopsy techniques, such as fine needle aspiration cytology and lipid biopsy (using the aqueous humor as a surrogate biopsy material for retinoblastoma DNA), have emerged as safe and effective methods [59, 60]. Nevertheless, long-term follow-up in a larger cohort of patients is needed to validate the results and provide safety data. To the best of our knowledge, our paper is the first meta-analysis to provide a series of markers for predicting retinoblastoma prognosis. These oncogenes contribute to a more accurate estimation of clinical outcomes and provide early indications for possible retinoblastoma metastasis. Patients with high protein expression are considered to be at high-risk and potential candidates for aggressive treatment. In addition, these proteins may help monitor patients’ responses to therapy and facilitate further treatments.
Major advances have been made in small molecule therapeutics. Targets such as inhibitors of the MDMX-p53 response, histone deacetylase inhibitors, and spleen tyrosine kinase inhibitors have shown promise in the treatment of retinoblastoma, with minimal off-target effects in animal models or clinic trials [61, 62]. Our study supplements MMPs and VEGF as promising druggable molecular targets for retinoblastoma treatment. Retinoblastoma exhibits invasive behavior to adjacent tissues and the blood stream at the early stage of the tumor, which emphasizes the urgency of preventing retinoblastoma metastasis at the early stage [4, 63]. However, although current therapy focuses on blocking tumor cell division and tumor growth, specific treatments targeted to prevent retinoblastoma metastasis and invasion are unavailable. Our results may pioneer the first indication for targets that interfere with tumor spread. Additionally, molecular suppression or silencing of these targets has the advantage of superior selectivity and lower systemic toxicities compared to chemotherapeutic agents. The use of an anti-VEGF antibody in combination with chemotherapy may enhance the efficacy of chemotherapy toward retinoblastoma [64, 65], despite a distinct toxicity profile in use for clinical trials. Whether a VEGF inhibitor will work effectively in humans and not only in nonhuman or human tumor sample trials needs to be validated as well.
We have demonstrated prognostic concordance among targeted gene expression signatures. Next, we investigated how the various genes are related to one another. Therefore, we further investigated the associations among gene targets. Regrettably, due to a lack of original studies, we were only able to show that MMP-9 and VEGF are coexpressed. Nonetheless, this represents a novel piece of system-level evidence elucidating the cellular pathways and biological processes regulating retinoblastoma phenotype, progression and prognostic performance. The identification of a synchronized overexpression pattern between MMP-9 and VEGF may generate many insights into tumor biology and pathogenesis. Notably, the degree of overlap among regulatory programs greatly influences the degree of coexpression [66]. According to previous studies, MMP-9 and VEGF are indeed closely related on the cellular level. MMP-9 plays an essential role in the acquisition of an angiogenic phenotype by assisting in VEGF liberation from the ECM and is involved in VEGF–VEGF-receptor interactions [23, 67, 68]. VEGF can also induce MMP-9 expression through pathways such as the Ras-activated extracellular signal-regulated kinase (ERK) pathway [24, 69]. In addition to positive feedback regulation, MMP-9 and VEGF also share a generous number of upstream pathways. Although we confirmed that MMP-9 and VEGF are coexpressed in retinoblastoma, further exploration is needed to identify the biological role of their interaction.
Last but not least, the GO functional annotation and KEGG pathway analysis of the four target genes provides additional information about their roles in retinoblastoma, indicating that they play important roles in multiple cellular components, thus promoting tumorigenesis and metastasis, which prompt potential directions for further investigations.

Limitations

This study has some inherent limitations that should be highlighted. First, although all studies utilized IHC, the antibodies used are different, and the threshold value is inconsistent among trials. Thus, despite the implementation of a standard regimen to avoid divergence, heterogeneity from these factors is inevitable. Ethnic groups also vary, but subgroup analysis of different ethnic groups is not feasible due to the limited number of trails. Second, prognostic indexes, such as overall survival and disease-free survival, were not end points for most included studies, which restricts our study to an analysis of clinicohistopathological characteristics. Life-long follow-up should be performed in subsequent studies, as retinoblastoma survivors are at high risk of developing secondary cancers [70, 71]. Third, our search was restricted to studies published in English or Chinese, which may be responsible for the publication bias. Our results are more applicable to certain ethnic groups; as most relevant reports were conducted in Chinese populations. Outcomes in developing countries are relatively unsatisfactory [2], so these studies may add additional bias. Fourth, tumor invasion data in most of the included studies were related to optic nerve invasion except Mohan’s report, which included the choroid, optic nerve and orbit [41]. Optic nerve invasion is emphasized mainly because it is the most common route for retinoblastoma to progress into the brain and then further metastasize [52]. However, excluding other types of invasion may reduce the available information in the early detection of retinoblastoma progression. Finally, analyses of MMP-1 and MMP-2 expression are based on only 3 studies. Corresponding results based on small samples should be interpreted with caution.

Conclusions

We concluded that the overexpression of MMP-1, MMP-2, MMP-9 and VEGF is highly related to poor retinoblastoma differentiation, tumor invasion and advanced clinical stage and, thus, have a role in predicting the prognosis of retinoblastoma patients. Meanwhile, MMP-9 and VEGF proteins exhibit a system-level coexpression pattern in retinoblastoma, indicating their potentially important biological relationships in tumor development and progression.
Not applicable.
All the authors have read and approved the paper and declare no potential conflicts of interest in the paper. If their paper is accepted, all the authors will observe the terms of the publishing license.

Competing interests

The authors declare that they have no competing interests.
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Literatur
1.
Zurück zum Zitat Chintagumpala M, Chevez-Barrios P, Paysse EA, Plon SE, Hurwitz R. Retinoblastoma: review of current management. Oncologist. 2007;12(10):1237–46.CrossRef Chintagumpala M, Chevez-Barrios P, Paysse EA, Plon SE, Hurwitz R. Retinoblastoma: review of current management. Oncologist. 2007;12(10):1237–46.CrossRef
2.
Zurück zum Zitat Kivela T. The epidemiological challenge of the most frequent eye cancer: retinoblastoma, an issue of birth and death. Br J Ophthalmol. 2009;93(9):1129–31.CrossRef Kivela T. The epidemiological challenge of the most frequent eye cancer: retinoblastoma, an issue of birth and death. Br J Ophthalmol. 2009;93(9):1129–31.CrossRef
3.
Zurück zum Zitat Kaliki S, Shields CL, Eagle RC Jr, Iram S, Shields JA. High-risk intraocular retinoblastoma: comparison between Asian Indians and Americans from two major referral centers. Retina (Philadelphia, Pa). 2017;38:2023–9.CrossRef Kaliki S, Shields CL, Eagle RC Jr, Iram S, Shields JA. High-risk intraocular retinoblastoma: comparison between Asian Indians and Americans from two major referral centers. Retina (Philadelphia, Pa). 2017;38:2023–9.CrossRef
4.
Zurück zum Zitat Dimaras H, Kimani K, Dimba EA, Gronsdahl P, White A, Chan HS, et al. Retinoblastoma. Lancet. 2012;379(9824):1436–46.CrossRef Dimaras H, Kimani K, Dimba EA, Gronsdahl P, White A, Chan HS, et al. Retinoblastoma. Lancet. 2012;379(9824):1436–46.CrossRef
5.
Zurück zum Zitat Bowman RJ, Mafwiri M, Luthert P, Luande J, Wood M. Outcome of retinoblastoma in east Africa. Pediatr Blood Cancer. 2008;50(1):160–2.CrossRef Bowman RJ, Mafwiri M, Luthert P, Luande J, Wood M. Outcome of retinoblastoma in east Africa. Pediatr Blood Cancer. 2008;50(1):160–2.CrossRef
6.
Zurück zum Zitat Shields CL, Shields JA. Retinoblastoma management: advances in enucleation, intravenous chemoreduction, and intra-arterial chemotherapy. Curr Opin Ophthalmol. 2010;21(3):203–12.CrossRef Shields CL, Shields JA. Retinoblastoma management: advances in enucleation, intravenous chemoreduction, and intra-arterial chemotherapy. Curr Opin Ophthalmol. 2010;21(3):203–12.CrossRef
7.
Zurück zum Zitat Fabian ID, Johnson KP, Stacey AW, Sagoo MS, Reddy MA. Focal laser treatment in addition to chemotherapy for retinoblastoma. Cochrane Database Syst Rev. 2017;6:CD012366.PubMed Fabian ID, Johnson KP, Stacey AW, Sagoo MS, Reddy MA. Focal laser treatment in addition to chemotherapy for retinoblastoma. Cochrane Database Syst Rev. 2017;6:CD012366.PubMed
8.
Zurück zum Zitat Shields CL, Shields JA. Basic understanding of current classification and management of retinoblastoma. Curr Opin Ophthalmol. 2006;17(3):228–34.CrossRef Shields CL, Shields JA. Basic understanding of current classification and management of retinoblastoma. Curr Opin Ophthalmol. 2006;17(3):228–34.CrossRef
9.
Zurück zum Zitat Youssef NS, Said AM. Immunohistochemical expression of CD117 and vascular endothelial growth factor in retinoblastoma: possible targets of new therapies. Int J Clin Exp Pathol. 2014;7(9):5725–37.PubMedPubMedCentral Youssef NS, Said AM. Immunohistochemical expression of CD117 and vascular endothelial growth factor in retinoblastoma: possible targets of new therapies. Int J Clin Exp Pathol. 2014;7(9):5725–37.PubMedPubMedCentral
10.
Zurück zum Zitat Bourboulia D, Stetler-Stevenson WG. Matrix metalloproteinases (MMPs) and tissue inhibitors of metalloproteinases (TIMPs): positive and negative regulators in tumor cell adhesion. Semin Cancer Biol. 2010;20(3):161–8.CrossRef Bourboulia D, Stetler-Stevenson WG. Matrix metalloproteinases (MMPs) and tissue inhibitors of metalloproteinases (TIMPs): positive and negative regulators in tumor cell adhesion. Semin Cancer Biol. 2010;20(3):161–8.CrossRef
11.
Zurück zum Zitat Shuman Moss LA, Jensen-Taubman S, Stetler-Stevenson WG. Matrix metalloproteinases: changing roles in tumor progression and metastasis. Am J Pathol. 2012;181(6):1895–9.CrossRef Shuman Moss LA, Jensen-Taubman S, Stetler-Stevenson WG. Matrix metalloproteinases: changing roles in tumor progression and metastasis. Am J Pathol. 2012;181(6):1895–9.CrossRef
12.
Zurück zum Zitat Moens S, Goveia J, Stapor P, Cantelmo A, Carmeliet P. The multifaceted activity of VEGF in angiogenesis—implications for therapy responses. Cytokine Growth Factor Rev. 2014;25(4):473–82.CrossRef Moens S, Goveia J, Stapor P, Cantelmo A, Carmeliet P. The multifaceted activity of VEGF in angiogenesis—implications for therapy responses. Cytokine Growth Factor Rev. 2014;25(4):473–82.CrossRef
13.
Zurück zum Zitat Visse R, Nagase H. Matrix metalloproteinases and tissue inhibitors of metalloproteinases: structure, function, and biochemistry. Circ Res. 2003;92(8):827–39.CrossRef Visse R, Nagase H. Matrix metalloproteinases and tissue inhibitors of metalloproteinases: structure, function, and biochemistry. Circ Res. 2003;92(8):827–39.CrossRef
14.
Zurück zum Zitat Ramachandran R, Sørensen M, Aaberg-Jessen C, Hermansen S, Kristensen B. Expression and prognostic impact of matrix metalloproteinase-2 (MMP-2) in astrocytomas. PLoS ONE. 2017;12(2):e0172234.CrossRef Ramachandran R, Sørensen M, Aaberg-Jessen C, Hermansen S, Kristensen B. Expression and prognostic impact of matrix metalloproteinase-2 (MMP-2) in astrocytomas. PLoS ONE. 2017;12(2):e0172234.CrossRef
15.
Zurück zum Zitat Gong L, Wu D, Zou J, Chen J, Chen L, Chen Y, et al. Prognostic impact of serum and tissue MMP-9 in non-small cell lung cancer: a systematic review and meta-analysis. Oncotarget. 2016;7(14):18458–68.CrossRef Gong L, Wu D, Zou J, Chen J, Chen L, Chen Y, et al. Prognostic impact of serum and tissue MMP-9 in non-small cell lung cancer: a systematic review and meta-analysis. Oncotarget. 2016;7(14):18458–68.CrossRef
16.
Zurück zum Zitat You Z, Song H, Zhao J. Expression and clinical implication of hypoxia-inducible factor-1α and vascular endothelial growth factor in retinoblastoma. Chin Ophthalmic Res. 2009;27(11):992–5. You Z, Song H, Zhao J. Expression and clinical implication of hypoxia-inducible factor-1α and vascular endothelial growth factor in retinoblastoma. Chin Ophthalmic Res. 2009;27(11):992–5.
17.
Zurück zum Zitat Stitt AW, Simpson DAC, Boocock C, Gardiner TA, Murphy GM, Archer DB. Expression of vascular endothelial growth factor (VEGF) and its receptors is regulated in eyes with intra-ocular tumours. J Pathol. 1998;186(3):306–12.CrossRef Stitt AW, Simpson DAC, Boocock C, Gardiner TA, Murphy GM, Archer DB. Expression of vascular endothelial growth factor (VEGF) and its receptors is regulated in eyes with intra-ocular tumours. J Pathol. 1998;186(3):306–12.CrossRef
18.
Zurück zum Zitat Areán C, Orellana ME, Abourbih D, Abreu C, Pifano I, Burnier MN Jr. Expression of vascular endothelial growth factor in retinoblastoma. Arch Ophthalmol. 2010;128(2):223–9.CrossRef Areán C, Orellana ME, Abourbih D, Abreu C, Pifano I, Burnier MN Jr. Expression of vascular endothelial growth factor in retinoblastoma. Arch Ophthalmol. 2010;128(2):223–9.CrossRef
19.
Zurück zum Zitat Wang G, Li Z, Li Z, Huang Y, Mao X, Xu C, et al. Targeting eIF4E inhibits growth, survival and angiogenesis in retinoblastoma and enhances efficacy of chemotherapy. Biomed Pharmacother. 2017;96:750–6.CrossRef Wang G, Li Z, Li Z, Huang Y, Mao X, Xu C, et al. Targeting eIF4E inhibits growth, survival and angiogenesis in retinoblastoma and enhances efficacy of chemotherapy. Biomed Pharmacother. 2017;96:750–6.CrossRef
20.
Zurück zum Zitat Webb AH, Saleh N, Gao BT, Lee RP, Lendermon JB, Wilson MW, et al. The effects of modulation of MMP-2 and MMP-9 in angiogenesis and invasive potential in retinoblastoma. Invest Ophthalmol Vis Sci. 2015;56(7):67. Webb AH, Saleh N, Gao BT, Lee RP, Lendermon JB, Wilson MW, et al. The effects of modulation of MMP-2 and MMP-9 in angiogenesis and invasive potential in retinoblastoma. Invest Ophthalmol Vis Sci. 2015;56(7):67.
21.
Zurück zum Zitat Kessenbrock K, Plaks V, Werb Z. Matrix metalloproteinases: regulators of the tumor microenvironment. Cell. 2010;141(1):52–67.CrossRef Kessenbrock K, Plaks V, Werb Z. Matrix metalloproteinases: regulators of the tumor microenvironment. Cell. 2010;141(1):52–67.CrossRef
22.
Zurück zum Zitat Xiao Z, Liu Q, Mao F, Wu J, Lei T. TNF-alpha-induced VEGF and MMP-9 expression promotes hemorrhagic transformation in pituitary adenomas. Int J Mol Sci. 2011;12(6):4165–79.CrossRef Xiao Z, Liu Q, Mao F, Wu J, Lei T. TNF-alpha-induced VEGF and MMP-9 expression promotes hemorrhagic transformation in pituitary adenomas. Int J Mol Sci. 2011;12(6):4165–79.CrossRef
23.
Zurück zum Zitat Hawinkels LJ, Zuidwijk K, Verspaget HW, de Jonge-Muller ES, van Duijn W, Ferreira V, et al. VEGF release by MMP-9 mediated heparan sulphate cleavage induces colorectal cancer angiogenesis. Eur J Cancer. 2008;44(13):1904–13.CrossRef Hawinkels LJ, Zuidwijk K, Verspaget HW, de Jonge-Muller ES, van Duijn W, Ferreira V, et al. VEGF release by MMP-9 mediated heparan sulphate cleavage induces colorectal cancer angiogenesis. Eur J Cancer. 2008;44(13):1904–13.CrossRef
24.
Zurück zum Zitat Christoffersson G, Vågesjö E, Vandooren J, Lidén M, Massena S, Reinert R, et al. VEGF-A recruits a proangiogenic MMP-9-delivering neutrophil subset that induces angiogenesis in transplanted hypoxic tissue. Blood. 2012;120(23):4653–62.CrossRef Christoffersson G, Vågesjö E, Vandooren J, Lidén M, Massena S, Reinert R, et al. VEGF-A recruits a proangiogenic MMP-9-delivering neutrophil subset that induces angiogenesis in transplanted hypoxic tissue. Blood. 2012;120(23):4653–62.CrossRef
25.
Zurück zum Zitat Webb AH, Gao BT, Goldsmith ZK, Irvine AS, Saleh N, Lee RP, et al. Inhibition of MMP-2 and MMP-9 decreases cellular migration, and angiogenesis in in vitro models of retinoblastoma. BMC Cancer. 2017;17(1):434.CrossRef Webb AH, Gao BT, Goldsmith ZK, Irvine AS, Saleh N, Lee RP, et al. Inhibition of MMP-2 and MMP-9 decreases cellular migration, and angiogenesis in in vitro models of retinoblastoma. BMC Cancer. 2017;17(1):434.CrossRef
26.
Zurück zum Zitat Kim JH, Kim JH, Cho CS, Jun HO, Kim DH, Yu YS, et al. Differential roles of matrix metalloproteinase-9 and -2, depending on proliferation or differentiation of retinoblastoma cells. Invest Ophthalmol Vis Sci. 2010;51(3):1783–8.CrossRef Kim JH, Kim JH, Cho CS, Jun HO, Kim DH, Yu YS, et al. Differential roles of matrix metalloproteinase-9 and -2, depending on proliferation or differentiation of retinoblastoma cells. Invest Ophthalmol Vis Sci. 2010;51(3):1783–8.CrossRef
27.
Zurück zum Zitat Moher D, Liberati A, Tetzlaff J, Altman D. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Int J Surg. 2010;8(5):336–41.CrossRef Moher D, Liberati A, Tetzlaff J, Altman D. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Int J Surg. 2010;8(5):336–41.CrossRef
28.
Zurück zum Zitat Stang A. Critical evaluation of the Newcastle–Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol. 2010;25(9):603–5.CrossRef Stang A. Critical evaluation of the Newcastle–Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol. 2010;25(9):603–5.CrossRef
29.
Zurück zum Zitat Pathan M, Keerthikumar S, Chisanga D, Alessandro R, Ang CS, Askenase P, et al. A novel community driven software for functional enrichment analysis of extracellular vesicles data. Journal of extracellular vesicles. 2017;6(1):1321455.CrossRef Pathan M, Keerthikumar S, Chisanga D, Alessandro R, Ang CS, Askenase P, et al. A novel community driven software for functional enrichment analysis of extracellular vesicles data. Journal of extracellular vesicles. 2017;6(1):1321455.CrossRef
30.
Zurück zum Zitat Pathan M, Keerthikumar S, Ang C-S, Gangoda L, Quek CYJ, Williamson NA, et al. FunRich: an open access standalone functional enrichment and interaction network analysis tool. Proteomics. 2015;15(15):2597–601.CrossRef Pathan M, Keerthikumar S, Ang C-S, Gangoda L, Quek CYJ, Williamson NA, et al. FunRich: an open access standalone functional enrichment and interaction network analysis tool. Proteomics. 2015;15(15):2597–601.CrossRef
31.
Zurück zum Zitat Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003;13(11):2498–504.CrossRef Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003;13(11):2498–504.CrossRef
32.
Zurück zum Zitat Doncheva NT, Morris JH, Gorodkin J, Jensen LJ. Cytoscape StringApp: network analysis and visualization of proteomics data. J Proteome Res. 2019;18(2):623–32.CrossRef Doncheva NT, Morris JH, Gorodkin J, Jensen LJ. Cytoscape StringApp: network analysis and visualization of proteomics data. J Proteome Res. 2019;18(2):623–32.CrossRef
33.
Zurück zum Zitat Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159–74.CrossRef Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159–74.CrossRef
34.
Zurück zum Zitat Doi S, Thalib L. A quality-effects model for meta-analysis. Epidemiology. 2008;19(1):94–100.CrossRef Doi S, Thalib L. A quality-effects model for meta-analysis. Epidemiology. 2008;19(1):94–100.CrossRef
35.
Zurück zum Zitat Doi S, Barendregt J, Khan S, Thalib L, Williams G. Advances in the meta-analysis of heterogeneous clinical trials II: the quality effects model. Contemp Clin Trials. 2015;45(pt A):123–9.CrossRef Doi S, Barendregt J, Khan S, Thalib L, Williams G. Advances in the meta-analysis of heterogeneous clinical trials II: the quality effects model. Contemp Clin Trials. 2015;45(pt A):123–9.CrossRef
36.
Zurück zum Zitat Yu J, Wang JF, Qin M, Yue XL, Zhou Q, Li J. Expression of MMP-9 and NF-κB in retinoblastoma. Int Eye Sci. 2012;12(8):1470–3. Yu J, Wang JF, Qin M, Yue XL, Zhou Q, Li J. Expression of MMP-9 and NF-κB in retinoblastoma. Int Eye Sci. 2012;12(8):1470–3.
37.
Zurück zum Zitat Li Y, Tang LS, Zhou QH, Cao D, Yang ZL. Expression of EMMPRIN, MMPs and TIMP2 in retinoblastoma and normal retinal tissue. Int J Ophthalmol. 2008;8(6):1079–82. Li Y, Tang LS, Zhou QH, Cao D, Yang ZL. Expression of EMMPRIN, MMPs and TIMP2 in retinoblastoma and normal retinal tissue. Int J Ophthalmol. 2008;8(6):1079–82.
38.
Zurück zum Zitat Zhou L, Xu J, Kang J. Expression of matrix metalloproteinase-2, matrix metalloproteinase-9 and vascular endothdial growth factor in retinoblastoma and its clinical significance. Sci Rep Ophthalmol. 2010;25(1):62–4. Zhou L, Xu J, Kang J. Expression of matrix metalloproteinase-2, matrix metalloproteinase-9 and vascular endothdial growth factor in retinoblastoma and its clinical significance. Sci Rep Ophthalmol. 2010;25(1):62–4.
39.
Zurück zum Zitat Yang Yang. Expression and clinical significance of Claudin-1and VEGF in retinoblastoma. Jiangxi Med. 2013;12(48):1122–4. Yang Yang. Expression and clinical significance of Claudin-1and VEGF in retinoblastoma. Jiangxi Med. 2013;12(48):1122–4.
40.
Zurück zum Zitat Sun Y, Xu Z, Dengting W, Jie Z, Jiqi Z. Expression of livin, PTEN and MMP-9 in retinoblastoma and their correlation. Rec Adv Ophthalmol. 2014;34(2):135–9. Sun Y, Xu Z, Dengting W, Jie Z, Jiqi Z. Expression of livin, PTEN and MMP-9 in retinoblastoma and their correlation. Rec Adv Ophthalmol. 2014;34(2):135–9.
41.
Zurück zum Zitat Ge Zhen, Yunjun Li, Bo Liu. Expression of MMP-9, TIMP-1 and VEGF in retinoblastoma. Shandong Med. 2007;47(19):53–5. Ge Zhen, Yunjun Li, Bo Liu. Expression of MMP-9, TIMP-1 and VEGF in retinoblastoma. Shandong Med. 2007;47(19):53–5.
42.
Zurück zum Zitat Adithi M, Nalini V, Kandalam M, Krishnakumar S. Expression of matrix metalloproteinases and their inhibitors in retinoblastoma. J Pediatr Hematol Oncol. 2007;29(6):399–405.CrossRef Adithi M, Nalini V, Kandalam M, Krishnakumar S. Expression of matrix metalloproteinases and their inhibitors in retinoblastoma. J Pediatr Hematol Oncol. 2007;29(6):399–405.CrossRef
43.
Zurück zum Zitat Zixu Wu, Wang Binyan, Yao Hong. Expression of MMP-9 and Ki-67 in retinoblastoma and their clinical significance. Shanxi Med J. 2011;40(12):1195–6. Zixu Wu, Wang Binyan, Yao Hong. Expression of MMP-9 and Ki-67 in retinoblastoma and their clinical significance. Shanxi Med J. 2011;40(12):1195–6.
44.
Zurück zum Zitat Siqi Y, Song H. Expression and clinical implication of matrix metalloproteinase-1 and vascular endothelial growth factor in retinoblastoma. Eye Sci. 2010;25(1):48–51. Siqi Y, Song H. Expression and clinical implication of matrix metalloproteinase-1 and vascular endothelial growth factor in retinoblastoma. Eye Sci. 2010;25(1):48–51.
45.
Zurück zum Zitat Liu Yuejun. Expression of matrix metalloproteinases-9, tissue inhibitor of metalloproteinase-1 and vascular endothelial growth factor in retinoblastoma tissues. J Xinxiang Med Univ. 2014;31(12):1015–7. Liu Yuejun. Expression of matrix metalloproteinases-9, tissue inhibitor of metalloproteinase-1 and vascular endothelial growth factor in retinoblastoma tissues. J Xinxiang Med Univ. 2014;31(12):1015–7.
46.
Zurück zum Zitat Meng Lijuan. Expression of MMP-9 and VEGF in retinoblastoma. Shandong Med. 2011;51(38):96–7. Meng Lijuan. Expression of MMP-9 and VEGF in retinoblastoma. Shandong Med. 2011;51(38):96–7.
47.
Zurück zum Zitat Jun L, Yiyi Y. Expression and clinical implication of matrix metalloproteinase-9 and vascular endothelial growth factor in retinoblastoma. Yan Ke Xue Bao. 2017;30(1):27–8. Jun L, Yiyi Y. Expression and clinical implication of matrix metalloproteinase-9 and vascular endothelial growth factor in retinoblastoma. Yan Ke Xue Bao. 2017;30(1):27–8.
48.
Zurück zum Zitat Jiang Y, Jinrong D, Yanmei Z. A study of PCNA, VEGF expression in retinoblastoma. Tumor Treatment Prev. 2014;3(15):255–6. Jiang Y, Jinrong D, Yanmei Z. A study of PCNA, VEGF expression in retinoblastoma. Tumor Treatment Prev. 2014;3(15):255–6.
49.
Zurück zum Zitat Haiyan Li. Expression of MMP-1, MMP-9 and VEGF in retinoblastoma. Chin J Prim Med Pharm. 2012;19(16):2472–3. Haiyan Li. Expression of MMP-1, MMP-9 and VEGF in retinoblastoma. Chin J Prim Med Pharm. 2012;19(16):2472–3.
50.
Zurück zum Zitat Li Fang, Liao Rongfeng, Wang Jianfeng. Expression of nuclear factor and vascular endothelial growth factor in retinoblastoma and its clinical significance. Bengbu Med Rep. 2010;35(6):581–4. Li Fang, Liao Rongfeng, Wang Jianfeng. Expression of nuclear factor and vascular endothelial growth factor in retinoblastoma and its clinical significance. Bengbu Med Rep. 2010;35(6):581–4.
51.
Zurück zum Zitat Usmanov RH, Kivela T. Predicted trends in the incidence of retinoblastoma in the Asia-Pacific Region. Asia Pac J Ophthalmol (Phila). 2014;3(3):151–7.CrossRef Usmanov RH, Kivela T. Predicted trends in the incidence of retinoblastoma in the Asia-Pacific Region. Asia Pac J Ophthalmol (Phila). 2014;3(3):151–7.CrossRef
52.
Zurück zum Zitat Chévez-Barrios P, Hurwitz M, Louie K, Marcus K, Holcombe V, Schafer P, et al. Metastatic and nonmetastatic models of retinoblastoma. Am J Pathol. 2000;157(4):1405–12.CrossRef Chévez-Barrios P, Hurwitz M, Louie K, Marcus K, Holcombe V, Schafer P, et al. Metastatic and nonmetastatic models of retinoblastoma. Am J Pathol. 2000;157(4):1405–12.CrossRef
53.
Zurück zum Zitat LinnMurphree A. Intraocular retinoblastoma: the case for a new group classification. Ophthalmol Clin North Am. 2005;18(1):41–53.CrossRef LinnMurphree A. Intraocular retinoblastoma: the case for a new group classification. Ophthalmol Clin North Am. 2005;18(1):41–53.CrossRef
54.
Zurück zum Zitat Dimaras H, Corson TW. Retinoblastoma, the visible CNS tumor: a review. J Neurosci Res. 2019;97:29–44.CrossRef Dimaras H, Corson TW. Retinoblastoma, the visible CNS tumor: a review. J Neurosci Res. 2019;97:29–44.CrossRef
55.
Zurück zum Zitat Skalet AH, Gombos DS, Gallie BL, Kim JW, Shields CL, Marr BP, et al. Screening children at risk for retinoblastoma: consensus report from the American association of ophthalmic oncologists and pathologists. Ophthalmology. 2018;125(3):453–8.CrossRef Skalet AH, Gombos DS, Gallie BL, Kim JW, Shields CL, Marr BP, et al. Screening children at risk for retinoblastoma: consensus report from the American association of ophthalmic oncologists and pathologists. Ophthalmology. 2018;125(3):453–8.CrossRef
56.
Zurück zum Zitat Dzzfoi SA, Barendregt JJ, Khan S, Thalib L, Williams GM. Advances in the meta-analysis of heterogeneous clinical trials II: the quality effects model. Contemporary Clin Trials. 2015;45(Pt A):123–9. Dzzfoi SA, Barendregt JJ, Khan S, Thalib L, Williams GM. Advances in the meta-analysis of heterogeneous clinical trials II: the quality effects model. Contemporary Clin Trials. 2015;45(Pt A):123–9.
57.
Zurück zum Zitat Li B, Cui Y, Diehn M, Li R. Development and validation of an individualized immune prognostic signature in early-stage nonsquamous non-small cell lung cancer. JAMA Oncol. 2017;3(11):1529–37.CrossRef Li B, Cui Y, Diehn M, Li R. Development and validation of an individualized immune prognostic signature in early-stage nonsquamous non-small cell lung cancer. JAMA Oncol. 2017;3(11):1529–37.CrossRef
58.
Zurück zum Zitat de Ruiter E, Ooft M, Devriese L, Willems S. The prognostic role of tumor infiltrating T-lymphocytes in squamous cell carcinoma of the head and neck: a systematic review and meta-analysis. Oncoimmunology. 2017;6(11):e1356148.CrossRef de Ruiter E, Ooft M, Devriese L, Willems S. The prognostic role of tumor infiltrating T-lymphocytes in squamous cell carcinoma of the head and neck: a systematic review and meta-analysis. Oncoimmunology. 2017;6(11):e1356148.CrossRef
59.
Zurück zum Zitat Berry JL, Xu L, Murphree AL, Krishnan S, Stachelek K, Zolfaghari E, et al. Potential of aqueous humor as a surrogate tumor biopsy for retinoblastoma. JAMA Ophthalmol. 2017;135:1221–30.CrossRef Berry JL, Xu L, Murphree AL, Krishnan S, Stachelek K, Zolfaghari E, et al. Potential of aqueous humor as a surrogate tumor biopsy for retinoblastoma. JAMA Ophthalmol. 2017;135:1221–30.CrossRef
60.
Zurück zum Zitat Harbour JW. Liquid biopsy in retinoblastoma. JAMA Ophthalmol. 2017;135:1231.CrossRef Harbour JW. Liquid biopsy in retinoblastoma. JAMA Ophthalmol. 2017;135:1231.CrossRef
61.
Zurück zum Zitat Pritchard EM, Dyer MA, Guy RK. Progress in small molecule therapeutics for the treatment of retinoblastoma. Mini Rev Med Chem. 2016;16(6):430–54.CrossRef Pritchard EM, Dyer MA, Guy RK. Progress in small molecule therapeutics for the treatment of retinoblastoma. Mini Rev Med Chem. 2016;16(6):430–54.CrossRef
62.
Zurück zum Zitat Mendoza PR, Grossniklaus HE. Therapeutic options for retinoblastoma. Cancer Control. 2016;23(2):99–109.CrossRef Mendoza PR, Grossniklaus HE. Therapeutic options for retinoblastoma. Cancer Control. 2016;23(2):99–109.CrossRef
63.
Zurück zum Zitat Chen X, Wang J, Cao Z, Hosaka K, Jensen L, Yang H, et al. Invasiveness and metastasis of retinoblastoma in an orthotopic zebrafish tumor model. Sci Rep. 2015;5:10351.CrossRef Chen X, Wang J, Cao Z, Hosaka K, Jensen L, Yang H, et al. Invasiveness and metastasis of retinoblastoma in an orthotopic zebrafish tumor model. Sci Rep. 2015;5:10351.CrossRef
64.
Zurück zum Zitat Assayag F, Nicolas A, Vacher S, Dehainault C, Bieche I, Meseure D, et al. Combination of carboplatin and bevacizumab is an efficient therapeutic approach in retinoblastoma patient-derived xenografts. Invest Ophthalmol Vis Sci. 2016;57(11):4916–26.CrossRef Assayag F, Nicolas A, Vacher S, Dehainault C, Bieche I, Meseure D, et al. Combination of carboplatin and bevacizumab is an efficient therapeutic approach in retinoblastoma patient-derived xenografts. Invest Ophthalmol Vis Sci. 2016;57(11):4916–26.CrossRef
65.
Zurück zum Zitat Heo JW, Kim JH, Cho CS, Jun HO, Kim DH, Yu YS, et al. Inhibitory activity of bevacizumab to differentiation of retinoblastoma cells. PLoS ONE. 2012;7(3):e33456.CrossRef Heo JW, Kim JH, Cho CS, Jun HO, Kim DH, Yu YS, et al. Inhibitory activity of bevacizumab to differentiation of retinoblastoma cells. PLoS ONE. 2012;7(3):e33456.CrossRef
66.
Zurück zum Zitat Pannier L, Merino E, Marchal K, Collado-Vides J. Effect of genomic distance on coexpression of coregulated genes in E. coli. PLoS ONE. 2017;12(4):e0174887.CrossRef Pannier L, Merino E, Marchal K, Collado-Vides J. Effect of genomic distance on coexpression of coregulated genes in E. coli. PLoS ONE. 2017;12(4):e0174887.CrossRef
67.
Zurück zum Zitat Bergers G, Brekken R, McMahon G, Vu T, Itoh T, Tamaki K, et al. Matrix metalloproteinase-9 triggers the angiogenic switch during carcinogenesis. Nat Cell Biol. 2000;2(10):737–44.CrossRef Bergers G, Brekken R, McMahon G, Vu T, Itoh T, Tamaki K, et al. Matrix metalloproteinase-9 triggers the angiogenic switch during carcinogenesis. Nat Cell Biol. 2000;2(10):737–44.CrossRef
68.
Zurück zum Zitat Hashimoto G, Inoki I, Fujii Y, Aoki T, Ikeda E, Okada Y. Matrix metalloproteinases cleave connective tissue growth factor and reactivate angiogenic activity of vascular endothelial growth factor 165. J Biol Chem. 2002;277(39):36288–95.CrossRef Hashimoto G, Inoki I, Fujii Y, Aoki T, Ikeda E, Okada Y. Matrix metalloproteinases cleave connective tissue growth factor and reactivate angiogenic activity of vascular endothelial growth factor 165. J Biol Chem. 2002;277(39):36288–95.CrossRef
69.
Zurück zum Zitat Wen Y, Li L. Correlation between matrix metalloproteinase-9 and vascular endothelial growth factor expression in lung adenocarcinoma. Genet Mol Res. 2015;14(4):19342–8.CrossRef Wen Y, Li L. Correlation between matrix metalloproteinase-9 and vascular endothelial growth factor expression in lung adenocarcinoma. Genet Mol Res. 2015;14(4):19342–8.CrossRef
70.
Zurück zum Zitat Sheen V, Tucker M, Abramson D, Seddon J, Kleinerman R. Cancer screening practices of adult survivors of retinoblastoma at risk of second cancers. Cancer. 2008;113(2):434–41.CrossRef Sheen V, Tucker M, Abramson D, Seddon J, Kleinerman R. Cancer screening practices of adult survivors of retinoblastoma at risk of second cancers. Cancer. 2008;113(2):434–41.CrossRef
71.
Zurück zum Zitat Meadows A, Leahey A. More about second cancers after retinoblastoma. J Natl Cancer Inst. 2008;100(24):1743–5.CrossRef Meadows A, Leahey A. More about second cancers after retinoblastoma. J Natl Cancer Inst. 2008;100(24):1743–5.CrossRef
Metadaten
Titel
Clinicohistopathological implications of MMP/VEGF expression in retinoblastoma: a combined meta-analysis and bioinformatics analysis
verfasst von
Jingyi Zhu
Xi Zhang
Liqianyu Ai
Rongdi Yuan
Jian Ye
Publikationsdatum
01.12.2019
Verlag
BioMed Central
Erschienen in
Journal of Translational Medicine / Ausgabe 1/2019
Elektronische ISSN: 1479-5876
DOI
https://doi.org/10.1186/s12967-019-1975-3

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