- 1Key Laboratory of Radiobiology, Ministry of Health, School of Public Health, Jilin University, Changchun, China
- 2Department of Radiotherapy, The First Affiliated Hospital of Kunming Medical University, Kunming, China
Background: Vascular endothelial growth factor (VEGF) has been reported to serve as a promising prognostic marker in several cancers. This meta-analysis aims to assess the prognostic significance of VEGF in nasopharyngeal cancer (NPC).
Methods: We conducted a systematic literature search of PubMed, Embase, and the Cochrane Library for observational studies published until June, 2018 to identify observational studies on the prognostic effect of tissue VEGF expression or serum VEGF level on the survival of NPC. The primary outcome measure assessed was overall survival (OS). The secondary outcomes included disease-free survival (DFS) or progression-free survival (PFS). Summary hazard ratio (HR) and its 95% confidence interval (95% CI) were derived using a random-effects model.
Results: Out of 840 retrieved citations, 16 studies inclusive of 1,345 patients were included in the analysis of tissue VEGF expression and cancer survival. The pooled HRs for OS and DFS in patients with high VEGF expression were 2.07 (95% CI: 1.32–3.25) and 5.99 (95% CI: 2.66–13.48), respectively, with significant heterogeneity between studies (I2 = 79.1% for OS and 50.2% for DFS). Tissue high VEGF expression was not significantly associated with short RFS, PFS, or MFS. Five studies also investigated the prognostic effect between serum VEGF level and patient survival and found that high serum VEGF level was significantly associated with short OS for patients with NPC (HR 2.47, 95% CI 1.16–5.28), but not with short PFS (HR 1.47, 95% CI 0.92–2.35).
Conclusions: Determination of tissue VEGF expression and serum VEGF level have the potential to serve as biomarkers and add prognostic information in NPC. Prospective analyses of associated data on VEGF expression and serum VEGF level in large NPC cohorts could be further conducted to advance our understanding of the relationship between VEGF and NPC outcomes.
Introduction
Nasopharyngeal cancer (NPC), a rare cancer with unbalanced distribution, has a high prevalence rate in southern China, with 85,000 estimated new cases and 50,000 estimated deaths worldwide in 2012 (1). Due to deep location in the nose and to its non-specific initial clinical manifestation, NPC is often diagnosed at an advanced stage with a 5-year overall survival (OS) rate below 40% (2). As a distinct entity among head and neck cancers, NPC has been largely demonstrated that several clinico-pathological factors affect patients' survival, including patient age, gender, pretreatment serum EBV DNA level, tumor stage, primary cancer volume, sensitivity to radiotherapy, and chemotherapy (3–5). It may also be worth mentioning that the biology of this tumor appears to vary widely between endemic (predominantly Asian) and non-endemic areas.
Nevertheless, recent advancement achieved in the field of NPC is that it involves several associated signaling pathways contributing to the biological and clinical behavior of NPC, one of which was JAK2/STAT3 signaling pathway (6). This pathway has been reported to be involved in multiple cellular functions such as differentiation, survival, proliferation, and apoptosis (7, 8). STAT3 possesses regulatory abilities in angiogenesis through the transcription of vascular endothelial growth factor (VEGF) (9), a potent angiogenic factor which plays a crucial role in a several pathological processes including microvascular permeability, tumor cell penetration (6), acting as an important mediator of angiogenesis, representing a potential target for anticancer therapy (10).
Recently published studies and meta-analyses indicated that VEGF is a promising prognostic biomarker for papillary thyroid cancer (11), oral tongue squamous cell carcinoma (12), cervical cancer (13, 14), colorectal cancer (15), and other cancers (16–27). Regardless of various issues existing in the published literature in terms of the PROGRESS series in the field of prognosis research and the reporting of prognostic studies of tumor markers (REMARK guidelines) (28, 29), the prognostic value for NPC setting is still in debate (12), thus leading to the need of clarifying the role of this molecular target in predicting NPC patients' survival outcome. Therefore, we aim to assess the value of VEGF as a prognostic factor in NPC.
Materials and Methods
Search Strategy
This meta-analysis was performed in accordance with the Meta analysis of Observational studies in Epidemiology (MOOSE) guidance (30). We conducted a systematic literature search of PubMed, Embase, and the Cochrane Library for observational studies published until June, 2018 to investigate the prognostic effect of tissue VEGF expression or serum VEGF level on the survival of NPC using the strategy shown in Supplementary Material. We read through all of the generated citations using the search strategy and selected the associated full text of selected publications to determine the final included studies satisfying the inclusion criteria. We also hand searched references from the included studies to identify additional studies which could be missed during literature search and selection. We did not apply language restrictions during the literature search. A Google Scholar search using similar keywords was also conducted for gray literature.
Study Selection and Inclusion Criteria
At least two investigators (FW and LP) read all titles or abstracts of identified citations through database search. The selected relevant articles were then cross checked by two independent investigators for possible inclusion and disagreements were resolved through discussion or by consensus with a senior investigator (XL).
Prospective or retrospective observational studies fulfilling the following inclusion criteria were included in further analysis: studies in humans with clinically or pathologically diagnosed NPC reporting the effect of tissue VEGF expression or serum VEGF level on patient survival were included; publications evaluating VEGF expression using immunohistochemistry (IHC) in human tissues from primary NPC or investigating plasma VEGF level with enzyme-linked immunosorbent assay (ELISA) before treatment; studies analyzing the association between VEGF overexpression with at least one of the following survival outcomes overall survival (OS), disease-free survival (DFS), recurrence-free survival (RFS), metastasis-free survival (MFS), or progression-free survival (PFS). Studies were excluded if only RNA data were analyzed, or having small sample size of <30 patients. Studies were also excluded if they used duplicated samples from the same study cohort.
Data Abstraction
Data were extracted by two investigators (FW and LP) into a predesigned spreadsheet and cross-checked by each other. The following summarized variables were collected from each study: first author, publication year, research country, the number of cases, cancer stage, follow-up period, sample origin, VEGF assay, cut-off level, statistical method, study quality score, and outcome investigated.
Assessment of Bias
Observational studies for cohort or case-control studies were assessed for bias using a 9-star Newcastle-Ottawa Scale (NOS) (31). A final NOS score was obtained in terms of selection of the involved population, comparability of study groups, and adequacy of outcome assessment. We defined that a score of 6 or below was considered high risk of bias (low study quality); and a score of 7 or above was considered low risk of bias (high study quality) (32, 33). Conflicts were resolved by joint discussion. We also applied reporting recommendations for tumor marker prognostic studies (REMARK) to evaluate study quality in cancer-related meta-analyses based on Supplementary Table 1 (34).
Outcome Measures
The primary outcome was OS, defining as the proportion of patients who did not die from any cause. The secondary outcomes included DFS/RFS/MFS/PFS, defined as the proportion of patients free from any disease/local recurrence/metastatic recurrence/disease progression.
Statistical Analysis
Meta-analysis was performed with Stata® version 12.0 (Stata Corp LP, College Station, Texas, USA). Because of the clinical heterogeneity inherent in our study, we applied random effects models for all meta-analyses (35). For adjusted or unadjusted HRs, we used the inverse variance method. Statistical heterogeneity was assessed with I2 statistic (36). To further explore heterogeneity, we performed post-hoc subgroup analyses for OS subset stratified by study characteristics such as study region, sample size, IHC cut-off level, statistical method, and the risk of bias. We assessed publication bias by visual inspection of funnel plot asymmetry, Begg's rank correlation test (37) and Egger's linear regression test (38), with a P-value < 0.1 indicating existence of publication bias. To further test the robustness of the main findings, we also performed sensitivity analyses by omitting one study at a time and recalculating the others.
Results
Literature Search
The search strategy yielded a total of 840 studies, of which data from 19 studies were used, comprising 1,840 patients (Figure 1) (39–57). Of these, 16 studies had reported the prognostic value of tissue VEGF expression in NPC and 5 studies had evaluated serum VEGF level in NPC (53–57).
Figure 1. Selection process for studies to be included in the meta-analysis in compliance with MOOSE (Meta analysis of Observational studies in Epidemiology) standards.
Study Demographics
The demographics of each included study are presented in detail in Table 1. In summary, all these studies were conducted in single clinical centers and were published between 2001 and 2018. Seventy-four percent of studies analyzed patients from China, 21% from other Asian countries, 5% from the USA, and 32% of studies analyzed data from more than 100 patients. The majority of the studies included patients with all stages of cancers, except one included early cancers and one advanced cancers. The mean/median follow-up period ranged from 16 to 116 months and 3 studies did not provide the mean/median follow-up period.
Survival Analysis
Sixteen studies inclusive of 1,345 patients were included in the analysis of tissue VEGF expression and cancer survival. The pooled HR for OS in patients with high VEGF expression compared with low expression was 2.07 (95% CI: 1.32–3.25), with a significant degree of heterogeneity (I2 = 79.1%) (Figure 2A), while the pooled HR for DFS was 5.99 (95% CI: 2.66–13.48), again with a high degree of inter-study heterogeneity (I2 = 50.2%) (Figure 2B). The pooled HRs for RFS and MFS, which were only analyzed in two and three studies, respectively, were 2.84 (95% CI: 0.56–14.34) and 3.47 (95% CI: 0.95–12.66), again both with high inter-study heterogeneity (I2 = 90.8% for RFS and 95.5% for MFS) (Figure 2B). The pooled HRs for PFS, which was analyzed in two studies, was 1.51 (95% CI: 0.77–2.97), with no inter-study heterogeneity (I2 = 0).
Figure 2. Meta-analysis of tissue VEGF expression for (A) overall survival; (B) disease-free survival, recurrence-free survival, metastasis-free survival and progression-free survival in nasopharyngeal cancer. Weights are from random effects analysis. CI, confidence interval; HR, hazard ratio; W (random), Weights (random effects model).
Subgroup Analyses
We conducted several subgroup analyses based on study region, sample size, follow-up period, VEGF expression cut-off value, VEGF expression criteria (high vs. low and positive vs. negative) and NOS score. We noted that the results of subgroups remained similar to that of the main analysis. Furthermore, the I2 statistics significantly decreased in half of the subgroups, indicating part of the heterogeneity could result from these factors (Table 2).
Table 2. Subgroup analyses for associations between tissue VEGF expression and overall survival for patients with nasopharyngeal cancer.
Funnel plots for OS demonstrated certain evidence of publication bias by Egger's test (P = 0.031) (Figure 3). However, the results did not change after applying the trim-and-fill method, indicating the robustness of the summary result. We did not test publication bias for outcomes of DFS, RFS, MFS, or PFS due to limited number of studies. Sensitivity analyses by omitting one study at a time and recalculating the summary HRs for the remaining ones obtained similar results.
Figure 3. Funnel plot with tissue VEGF expression for overall survival. HR, hazard ratio; s.e., standard error.
Five studies also investigated the prognostic effect between serum VEGF level and patient survival and found that high serum VEGF level was significantly associated with short OS for patients with NPC (HR 2.47, 95% CI 1.16–5.28), but not with short PFS (HR 1.47, 95% CI 0.92–2.35) (Figure 4). We also did not test publication bias for these subsets of outcomes due to limited number of studies.
Figure 4. Meta-analysis of serum VEGF level for overall survival and progression-free survival in nasopharyngeal cancer. Weights are from random effects analysis. CI, confidence interval; HR, hazard ratio; W (random), Weights (random effects model).
Discussion
The primary purpose of this meta-analysis was to determine whether tissue VEGF expression or serum VEGF level was associated with survival outcomes in NPC patients. We found that tissue high VEGF expression was associated with reduced OS and DFS in patients with NPC, while no survival associations were noted for other outcomes like RFS, MFS, or DFS. To investigate the inter-study heterogeneity for OS subset, we found that it may result from patient demographics, tissue VEGF expression or serum VEGF level determination method and different statistical analyses. Subgroup analyses were also performed in order to assess the impact of these factors on the HR for OS among NPC patients, and yielded consistent results. Furthermore, results also indicated that serum high VEGF level was significantly associated with reduced OS. Our data indicate that determination of tissue VEGF expression and serum VEGF level could be useful for predicting outcome in NPC patients, especially for patient OS.
As a member of the platelet-derived growth factor, VEGF could contribute to the proliferation of vascular endothelial cells, mitogenesis, and angiogenesis, suppression of dendritic cell maturation, increase in the permeability of the blood vessels, facilitating the leakage of vascular contents and thus providing extracellular matrix for vascular formation and endothelial cell migration, which play a crucial role for the development of cancer cells (58–60). Yang and colleges reported that tumor-secreted VEGF-B could significantly remodel tumor microvasculature, resulting in leaky vascular networks, providing good microenvironment for tumor cell invasion (61). It was also considered as an independent prognostic marker for cancer metastasis.
To the best of our knowledge, the present meta-analysis is the first study which systematically investigates the role of both tissue VEGF expression and serum VEGF level in NPC patients' prognosis. By involving more than 1,800 patients, the results of our meta-analysis may be more reliable than individual studies. However, there are some limitations to our meta-analysis. Firstly, different criteria were applied to determine tissue high/low expression of VEGF or serum high/low level of VEGF with heterogeneous cut off values among studies. In some cases, the percentage of VEGF-expressing cancer cells was applied for the definition of VEGF high expression group of patients; however, in other cases, an immunoreactive score was considered in terms of both the cell percentage and the intensity of the staining. Considering this kind of inter-study heterogeneity, we only included studies using immunohistochemistry on whole slides or tissue microarrays as VEGF expression-detecting method. Secondly, some of the included studies did not directly provide the survival estimates (HRs) used to be pooled in the meta-analyses. Consequently, we could only abstract and obtain the data through the digitalization of the Kaplan-Meyer survival curves, as previously reported (62, 63). This estimation process could have led to a certain bias. Therefore, the results should be interpreted with caution. Thirdly, although most of the included studies described patient adjuvant therapy including surgery followed by chemotherapy or radiotherapy, some of the cases (11 out of 13) did not report patients' postsurgical adjuvant therapy. This kind of inter-study heterogeneity in NPC treatment schedules might potentially have influenced the survival outcome. Fourthly, there was limited number of studies involved in the analyses for outcomes other than OS, so the conclusions for those outcomes should be interpreted with caution. Finally, heterogeneity in outcome definitions and reporting was also noted within the included studies, and we would naturally consider whether selective reporting of results was over stating the importance of tissue VEGF expression or serum VEGF levels in the progression of NPC.
In summary, this meta-analysis showed that high tissue VEGF expression significantly correlated with poor OS and DFS in NPC patients and high serum VEGF level was also significantly correlated with poor OS in NPC patients. Determination of tissue VEGF expression and serum VEGF level offers the potential to serve as biomarkers and add prognostic information in NPC. Larger sample-size prospective studies with a unanimous definition of the cut off level to detect VEGF expression or serum VEGF level are urgently required to advance our understanding of the relationship between VEGF and NPC outcomes.
Author Contributions
XL study concept and design. FW and LP acquisition of data. FW, LP, and YW analysis and interpretation of data. XL drafting of the manuscript. All authors critical revision of the manuscript for important intellectual content. XL study supervision.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2018.00486/full#supplementary-material
References
1. Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M, et al. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer (2015) 136:E359–86. doi: 10.1002/ijc.29210
2. American Joint Committee on Cancer. Pharynx. In: AJCC Cancer Staging Manual. 7th ed. New York, NY: Springer (2010). p. 41–56.
3. Kalaghchi B, Kazemian A, Hashem F, Aghili M, Farhan F, Haddad P. Chemoradiation in nasopharyngeal carcinoma: a 6-year experience in Tehran Cancer Institute. Acta Med Iran. (2011) 49:49–53.
4. Lok BH SJ, Ho F. Perez and Brady's Principles and Practice of Radiation Oncology. Lippincott Williams & Wilkins (2013). p. 730–60.
5. Kim S SB, Haffty BG. Prognostic factors in patients with head and neck cancer. In: Head and Neck Cancer: A Multidisciplinary Approach. 4th ed. Philadelphia, PA: Wolters Kluwer (2013). p. 87–111.
6. Ji Y, Wang Z, Li Z, Li K, Le X, Zhang T. Angiotensin II induces angiogenic factors production partly via AT1/JAK2/STAT3/SOCS3 signaling pathway in MHCC97H cells. Cell Physiol Biochem. (2012) 29:863–74. doi: 10.1159/000171034
7. Kisseleva T, Bhattacharya S, Braunstein J, Schindler C. Signaling through the JAK/STAT pathway, recent advances and future challenges. Gene (2002) 285:1–24. doi: 10.1016/S0378-1119(02)00398-0
8. Bromberg J. Activation of STAT proteins and growth control. Bioessays (2001) 23:161–9. doi: 10.1002/1521-1878(200102)23:2<161::AID-BIES1023>3.0.CO;2-0
9. Gong W, Wang L, Yao J, Ajani J, Wei D, Aldape K, et al. Expression of activated signal transducer and activator of transcription 3 predicts expression of vascular endothelial growth factor in and angiogenic phenotype of human gastric cancer. Clin Cancer Res. (2005) 11:1386–93. doi: 10.1158/1078-0432.CCR-04-0487
10. Schlaeppi J, Wood J. Targeting vascular endothelial growth factor (VEGF) for anti-tumor therapy, by anti-VEGF neutralizing monoclonal antibodies or by VEGF receptor tyrosine-kinase inhibitors. Cancer Metastasis Rev. (1999) 18:473–81.
11. Huang X, He W, Zhang H, Yang R, Huang T. Relationship between expression of vascular endothelial growth factor and cervical lymph node metastasis in papillary thyroid cancer: a meta-analysis. J Huazhong Univ Sci Technol Med Sci. (2017) 37:661–6. doi: 10.1007/s11596-017-1786-9
12. Almangush A, Heikkinen I, Mäkitie A, Coletta R, Läärä E, Leivo I, et al. Prognostic biomarkers for oral tongue squamous cell carcinoma: a systematic review and meta-analysis. Br J Cancer (2017) 117:856–66. doi: 10.1038/bjc.2017.244
13. Zhang J, Liu J, Zhu C, He J, Chen J, Liang Y, et al. Prognostic role of vascular endothelial growth factor in cervical cancer: a meta-analysis. Oncotarget (2017) 8:24797–803. doi: 10.18632/oncotarget.15044
14. Sun H, Tang F, Zhou S, Li X, Wang S, Huang K, et al. Association between vascular endothelial growth factor expression and lymph node metastasis in cervical cancer: a meta-analysis. J Obstet Gynaecol Res. (2016) 42:1310–16. doi: 10.1111/jog.13064
15. Zhao L, Zhang D, Ma H, Jin M, Huang F, Zhang T. High VEGF-A level at baseline predicts poor treatment effect of bevacizumab-based chemotherapy in metastatic colorectal cancer: a meta-analysis. Panminerva Med. (2016) 58:48–58.
16. Zhang L, Chen H. Increased vascular endothelial growth factor expression predicts a worse prognosis for laryngeal cancer patients: a meta-analysis. J Laryngol Otol. (2017) 131:44–50. doi: 10.1017/S0022215116009610
17. Shen H, Liu Q, Li M, Yang P. The prognostic value of vascular endothelial growth factor in patients with renal cell carcinoma: a systematic review of the literature and meta-analysis. Clin Invest Med. (2017) 40:E40–8. doi: 10.25011/cim.v40i2.28194
18. Zhang Z, Luo G, Tang H, Cheng C, Wang P. Prognostic significance of high VEGF-C expression for patients with breast cancer: an update meta analysis. PLoS ONE (2016) 11:e0165725. doi: 10.1371/journal.pone.0165725
19. Jiang L, Sun J, Quan L, Tian Y, Jia C, Liu Z, et al. Abnormal vascular endothelial growth factor protein expression may be correlated with poor prognosis in diffuse large B-cell lymphoma: a meta-analysis. J Cancer Res Ther. (2016) 12:605–11. doi: 10.4103/0973-1482.146086
20. Yang J, Li W, He X, Zhang G, Yue L, Chai Y. VEGF overexpression is a valuable prognostic factor for non-Hodgkin's lymphoma evidence from a systemic meta-analysis. Dis Markers (2015) 2015:786790. doi: 10.1155/2015/786790
21. Hui G, Meng M. Prognostic value of vascular endothelial growth factor expression in women with ovarian cancer: a meta-analysis. J Buon (2015) 20:870–8.
22. Cao G, Li X, Qin C, Li J. Prognostic value of VEGF in hepatocellular carcinoma patients treated with sorafenib: a meta-analysis. Med Sci Monit. (2015) 21:3144–51. doi: 10.12659/MSM.894617
23. Zhuang Y, Wei M. Impact of vascular endothelial growth factor expression on overall survival in patients with osteosarcoma: a meta-analysis. Tumour Biol. (2014) 35:1745–9. doi: 10.1007/s13277-014-1692-8
24. Ji Y, Wang Q, Li Y, Wang Z. Prognostic value of vascular endothelial growth factor A expression in gastric cancer: a meta-analysis. Tumour Biol. (2014) 35:2787–93. doi: 10.1007/s13277-013-1371-1
25. Huang Y, Qi W, He A, Sun Y, Shen Z, Yao Y. Prognostic value of tissue vascular endothelial growth factor expression in bladder cancer: a meta-analysis. Asian Pac J Cancer Prev. (2013) 14:645–9. doi: 10.7314/APJCP.2013.14.2.645
26. Guo B, Liu Y, Tan X, Cen H. Prognostic significance of vascular endothelial growth factor expression in adult patients with acute myeloid leukemia: a meta-analysis. Leuk Lymphoma (2013) 54:1418–25. doi: 10.3109/10428194.2012.748907
27. Wang K, Peng H, Li L. Prognostic value of vascular endothelial growth factor expression in patients with prostate cancer: a systematic review with meta-analysis. Asian Pac J Cancer Prev. (2012) 13:5665–9. doi: 10.7314/APJCP.2012.13.11.5665
28. Hemingway H, Croft P, Perel P, Hayden J, Abrams K, Timmis A, et al. Prognosis research strategy (PROGRESS) 1: a framework for researching clinical outcomes. BMJ (2013) 346:e5595. doi: 10.1136/bmj.e5595
29. McShane L, Altman D, Sauerbrei W, Taube S, Gion M, Clark G. Reporting recommendations for tumor marker prognostic studies (REMARK). J Natl Cancer Inst. (2005) 97:1180–4.
30. Liberati A, Altman D, Tetzlaff J, Mulrow C, Gøtzsche P, Ioannidis J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ (2009) 339:b2700. doi: 10.1136/bmj.b2700
31. 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) 25:603–5. doi: 10.1007/s10654-010-9491-z
32. Ben Q, Sun Y, Chai R, Qian A, Xu B, Yuan Y. Dietary fiber intake reduces risk for colorectal adenoma: a meta-analysis. Gastroenterology (2014) 146:689–99.e6. doi: 10.1053/j.gastro.2013.11.003
33. Kim H, Kim T, Chung H, Song Y. Risk and prognosis of ovarian cancer in women with endometriosis: a meta-analysis. Br J Cancer (2014) 110:1878–90. doi: 10.1038/bjc.2014.29
34. McShane L, Altman D, Sauerbrei W, Taube S, Gion M, Clark G. REporting recommendations for tumour MARKer prognostic studies (REMARK). Br J Cancer (2005) 93:387–91. doi: 10.1038/sj.bjc.6602678
35. DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials (1986) 7:177–88. doi: 10.1016/0197-2456(86)90046-2
36. Higgins J, Thompson S, Deeks J, Altman D. Measuring inconsistency in meta-analyses. BMJ (2003) 327:557–60. doi: 10.1136/bmj.327.7414.557
37. Begg C, Mazumdar M. Operating characteristics of a rank correlation test for publication bias. Biometrics (1994) 50:1088–101. doi: 10.2307/2533446
38. Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ (1997) 315:629–34. doi: 10.1136/bmj.315.7109.629
39. Zhao GG, Xiang XJ, He YJ. [Expression and clinical significance of vascular endothelial growth factor C and D in nasopharyngeal carcinoma]. Ai Zheng (2007) 26:90–5.
40. Zhang P, Wu S, Wang Y, Fan Z, Li C, Feng M, et al. p53, MDM2, eIF4E and EGFR expression in nasopharyngeal carcinoma and their correlation with clinicopathological characteristics and prognosis: a retrospective study. Oncol Lett. (2015) 9:113–8. doi: 10.3892/ol.2014.2631
41. Zhang G, Zeng J, Gong L, Wu G, Zhou Y. [Expression of vascular endothelial growth factor and nm23 as prognostic factors in nasopharyngeal carcinoma]. Zhonghua Er Bi Yan Hou Ke Za Zhi (2001) 36:372–5.
42. Xueguan L, Xiaoshen W, Yongsheng Z, Chaosu H, Chunying S, Yan F. Hypoxia inducible factor-1α and vascular endothelial growth factor expression are associated with a poor prognosis in patients with nasopharyngeal carcinoma receiving radiotherapy with carbogen and nicotinamide. Clin Oncol. (2008) 20:606–12. doi: 10.1016/j.clon.2008.07.001
43. Shi XY, Hu GQ, Yuan XL, Li HY, Liu YQ, Ma D. [Relationship between VEGF-C expression and nasopharyngeal carcinoma proliferation and metastasis]. Zhonghua Zhong Liu Za Zhi (2006) 28:364–7.
44. Sha D, He YJ. [Expression and clinical significance of VEGF and its receptors Flt-1 and KDR in nasopharyngeal carcinoma]. Ai Zheng (2006) 25:229–34.
45. Segawa Y, Oda Y, Yamamoto H, Shiratsuchi H, Hirakawa N, Komune S, et al. Close correlation between CXCR4 and VEGF expression and their prognostic implications in nasopharyngeal carcinoma. Oncol Rep. (2009) 21:1197–202. doi: 10.3892/or_00000341
46. Parikh R, Yang Q, Haffty B. Prognostic significance of vascular endothelial growth factor protein levels in T1-2 N0 laryngeal cancer treated with primary radiation therapy. Cancer (2007) 109:566–73. doi: 10.1002/cncr.22432
47. Pan J, Tang T, Xu L, Lu J, Lin S, Qiu S, et al. Prognostic significance of expression of cyclooxygenase-2, vascular endothelial growth factor, and epidermal growth factor receptor in nasopharyngeal carcinoma. Head Neck (2013) 35:1238–47. doi: 10.1002/hed.23116
48. Li YH, Hu CF, Shao Q, Huang MY, Hou JH, Xie D, et al. Elevated expressions of survivin and VEGF protein are strong independent predictors of survival in advanced nasopharyngeal carcinoma. J Transl Med. (2008) 6:1. doi: 10.1186/1479-5876-6-1
49. Krishna SM, James S, Balaram P. Expression of VEGF as prognosticator in primary nasopharyngeal cancer and its relation to EBV status. Virus Res. (2006) 115:85–90. doi: 10.1016/j.virusres.2005.07.010
50. Kim TJ, Lee YS, Kang JH, Kim YS, Kang CS. Prognostic significance of expression of VEGF and Cox-2 in nasopharyngeal carcinoma and its association with expression of C-erbB2 and EGFR. J Surg Oncol. (2011) 103:46–52. doi: 10.1002/jso.21767
51. Hui EP, Chan AT, Pezzella F, Turley H, To KF, Poon TC, et al. Coexpression of hypoxia-inducible factors 1alpha and 2alpha, carbonic anhydrase IX, and vascular endothelial growth factor in nasopharyngeal carcinoma and relationship to survival. Clin Cancer Res. (2002) 8:2595–604.
52. Cheng J-Z, Chen J-J, Xue K, Wang Z-G, Yu D. Clinicopathologic and prognostic significance of VEGF, JAK2 and STAT3 in patients with nasopharyngeal carcinoma. Cancer Cell Int. (2018) 18:110. doi: 10.1186/s12935-018-0605-0
53. Lv X, Xiang YQ, Cao SM, Qian CN, Li NW, Guo L, et al. Prospective validation of the prognostic value of elevated serum vascular endothelial growth factor in patients with nasopharyngeal carcinoma: more distant metastases and shorter overall survival after treatment. Head Neck (2011) 33:780–5. doi: 10.1002/hed.21541
54. Liang LL, Sun D, T SH. Detection and significance of VEGF in peripheral blood of patients with locally advanced nasopharyngeal carcinoma. Prog Modern Biomed. (2015) 15:510–13.
55. Kurnianda J, Hardianti MS, Harijadi Taroeno-Hariadi KW, Purwanto I, Haryana SM, et al. Elevation of vascular endothelial growth factor in Indonesian advanced stage nasopharyngeal carcinoma. Kobe J Med Sci. (2009) 55:E36–44.
56. Guo X, Cao SM, Hong MH, Zhang CQ, Han AJ, Xiang YQ, et al. [Clinical value of vascular endothelial growth factor detection in forecasting distant metastasis risk of nasopharyngeal carcinoma]. Ai Zheng (2004) 23:1171–5.
57. Chang K, Chang Y, Wu C, Liu Y, Chen M, Tsang N, et al. Multiplexed immunobead-based profiling of cytokine markers for detection of nasopharyngeal carcinoma and prognosis of patient survival. Head Neck (2011) 33:886–97. doi: 10.1002/hed.21557
58. Choi K, Bae M, Jeong J, Moon H, Kim K. Hypoxia-induced angiogenesis during carcinogenesis. J Biochem Mol Biol. (2003) 36:120–7. doi: 10.5483/BMBRep.2003.36.1.120
59. Leung D, Cachianes G, Kuang W, Goeddel D, Ferrara N. Vascular endothelial growth factor is a secreted angiogenic mitogen. Science (1989) 246:1306–9. doi: 10.1126/science.2479986
60. Keck P, Hauser S, Krivi G, Sanzo K, Warren T, Feder J, et al. Vascular permeability factor, an endothelial cell mitogen related to PDGF. Science (1989) 246:1309–12. doi: 10.1126/science.2479987
61. Yang X, Zhang Y, Hosaka K, Andersson P, Wang J, Tholander F, et al. VEGF-B promotes cancer metastasis through a VEGF-A-independent mechanism and serves as a marker of poor prognosis for cancer patients. Proc Natl Acad Sci USA. (2015) 112:E2900–9. doi: 10.1073/pnas.1503500112
62. Tierney J, Stewart L, Ghersi D, Burdett S, Sydes M. Practical methods for incorporating summary time-to-event data into meta-analysis. Trials (2007) 8:16. doi: 10.1186/1745-6215-8-16
Keywords: vascular endothelial growth factor (VEGF), nasopharyngeal cancer (NPC), survival, prognosis, meta-analysis
Citation: Wang F, Peng L, Wang Y and Liu X (2018) A Meta-Analysis of Vascular Endothelial Growth Factor for Nasopharyngeal Cancer Prognosis. Front. Oncol. 8:486. doi: 10.3389/fonc.2018.00486
Received: 30 August 2018; Accepted: 10 October 2018;
Published: 31 October 2018.
Edited by:
Athanassios Argiris, Thomas Jefferson University, United StatesReviewed by:
Jennifer Maria Johnson, Thomas Jefferson University, United StatesPanos Kyzas, Pennine Acute Hospitals NHS Trust, United Kingdom
Copyright © 2018 Wang, Peng, Wang and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Xiaodong Liu, bGl1eGRfMzMwMUAxNjMuY29t