Skip to main content

Clinical significance of matrix metalloproteinase-9 expression in papillary thyroid carcinoma: a meta-analysis



The purpose of this study was to investigate the relationship between the expression of matrix metalloproteinase-9 (MMP-9) and pathological indexes in papillary thyroid carcinoma (PTC).

Evidence obtained

The database was searched in PubMed, Embase, CNKI, and Web of Science databases for relevant clinical trials. The odds ratio (OR) and 95% confidence interval (CI) show the effect of MMP-9 expression and age, tumour size, gender, lymph node metastasis (LNM), and TNM (tumour, lymph node, metastasis) stage. Statistical analysis of the data was performed using Stata 17.0.

Evidence synthesis

A total of 1433 patients with PTC were included in this meta-analysis. MMP-9 expression was significantly correlated with LNM (OR = 3.92, 95% CI = 2.71–5.65, P = 0.000), tumour size (OR = 1.69, 95% CI = 1.13–2.52, P = 0.011), and TNM stage (OR = 2.95, 95% CI = 2.10–4.13, P = 0.000), but not with gender (OR = 0.90, 95% CI = 0.66–1.22, P = 0.487) and age (OR = 1.36, 95% CI = 0.93–1.98, P = 0.115).


Our meta-analysis showed that MMP-9 was significantly associated with LNM, tumour size, and TNM stage; therefore, MMP-9 may be a reliable prognostic biomarker for patients with PTC. However, more high-quality studies are needed to support these findings further.


Thyroid carcinoma (TC) is the most common endocrine malignancy, while papillary thyroid carcinoma (PTC) is the most common type of well-differentiated thyroid cancer, accounting for 80–85% of thyroid malignancies [1]. In recent years, with the continuous improvement of high-frequency ultrasound diagnostic technology and the wide application of ultrasound-guided puncture technology, the detection rate of PTC has increased significantly year by year [2]. Although the data suggest a 5-year survival more significant than 97% and 10-year survival of 85% in PTC patients, the odds of relapse at 10 years are about 15% and, at 27 years, about 28% after first treatment [3]. Although the majority of papillary thyroid carcinoma has a good prognosis, factors such as advanced age, male gender, extrathyroidal extension, lymph node or distant metastasis, and high tumour stage have been considered to be poor prognostic factors for many years [4]. Matrix metalloproteinases (MMPs) are zinc-containing endopeptidases from the metzincin family of proteases. MMPs have various physiological functions, which can degrade extracellular matrix (ECM) proteins and glycoproteins, regulate cytokines and growth factors, and participate in embryonic development [5]. The mechanism of action of overexpressed matrix metalloproteinases in malignant tumours is complex and varied. For several years, it has been suggested that the ECM-degrading function of MMPs promotes metastasis and invasion of malignant tumour cells, allowing malignant tumour cells to escape into the surrounding tissues and blood supply [6]. Matrix metalloproteinase-9 (MMP-9), a member of the MMP family, is a critical enzyme to degrade the extracellular matrix. Due to its proteolytic activity, through regulating migration, cancer cell epithelial-mesenchymal transformation, and survival, inducing an immune response, angiogenesis, and the formation of tumour microenvironment plays an essential role in tumourigenesis [7]; moreover, extensive in vitro experiments and in vivo analysis based on animal models have confirmed the role of MMP-9 in tumour development, and much subsequent work has also provided strong evidence for an association between MMP-9 expression and tumour aggressiveness. High expression levels of MMP-9 are associated with the prognosis, diagnosis, and clinical pathology of malignant tumours, such as breast cancer [8], ovarian cancer [9], carcinoma of the lungs [10], and colorectal cancer [11].

Many studies have been published to evaluate the effect of MMP-9 overexpression on clinicopathological features in patients with papillary thyroid carcinoma, such as age, gender, LNM, and TNM stage, but the results of these studies have been inconsistent and contradictory. To more accurately estimate the association between MMP-9 overexpression and clinicopathological features in patients with papillary thyroid carcinoma, we performed a meta-analysis of studies published up to November 2022.

Materials and methods

Search strategy

The protocol for this meta-analysis was registered in INPLASY (registration number, INPLASY 202360090) and is available at We conducted a comprehensive search in the Embase, PubMed, CNKI, and Web of Science databases for eligible prospective or retrospective cohort studies assessing the prognostic role of MMP-9 overexpression in patients with thyroid cancer. The following search terms were used: (“Thyroid Neoplasms” or “Thyroid Carcinomas” or “Thyroid Cancers” or “Thyroid Adenomas” or “Neoplasm, Thyroid’’) and (“matrix metalloproteinase 9” or “92-kDa Type IV Collagenase” or “Metalloproteinase, MMP-9”). There were no language restrictions, and the last search was updated on Nov 12, 2022. All references cited in these studies were also reviewed to identify additional published articles that were not indexed in the standard database.

Inclusion and exclusion criteria

The inclusion criteria for the relationship between MMP-9 and thyroid cancer in this meta-analysis are as follows: (1) research must be original and published, (2) all observed patients must be pathologically diagnosed with papillary thyroid carcinoma, (3) determination of MMP-9 expression in tumour tissue, and (4) determination of MMP-9 protein expression rather than mRNA. Exclusion criteria are as follows: (1) Studies’ types were basic studies, case reports, literature reviews, expert opinions, and conference abstracts, (2) papers not published in English or Chinese, (3) overlapping patient cohorts, and (4) non-concomitant effect size.

Data extraction and quality assessment

Data from eligible studies were evaluated and collected by two authors (Jinxu Wen and Xiaoru Qin): first author, country, year of publication, period, sample size, method, cut-off value, indicator (age, gender, tumour size, LNM, TNM), and Newcastle–Ottawa scale (NOS) score (population selection, comparative score, and outcome score) in Table 1. If the research retrieved cannot be individually classified by title and abstract alone, the full text is reviewed. The two investigators consulted with each other and reached consensus by soliciting the views of a third investigator (Jiayi Zhang) at any disagreement. The quality of selected papers was assessed using the Newcastle–Ottawa scale (NOS). A score of 7–9 indicates good quality, a 6–7 indicates moderate rate, and a score of 5 or below indicates poor quality. Two researchers (Jinxu Wen and Xiaoru Qin) read and evaluated the findings against uniform quality criteria.

Table 1 The basic characteristics of the enrolled papers in the study

Statistical analysis

Data analysis was performed using STATA version 17.0 (STATA, College Station, TX, USA). For binary variables, 95% confidence intervals (CI) and odds ratios (OR) were used. Depending on the heterogeneity involved, study results were analysed using either a fixed-effect model or a random-effects model. P and I2 statistics were used for heterogeneity. When P was > 0.1 and I2 < 50%, the fixed-effects (Mantel–Haenszel method) model was used for analysis. When P was < 0.1 or I2 > 50%, the random products (DerSimonian-Laird method) model was used. The causes of statistical heterogeneity were explored through sensitivity analysis; that is, one study was excluded once, and heterogeneity was re-analysed after several other studies were included. In addition, Egger’s and Begg’s tests were used for publication bias. A P-value less than 0.05 indicates a statistically significant difference.


Description of eligible studies

A total of 745 potentially relevant studies were selected by a preliminary search.

Of these, 723 related studies were excluded because they were comments, basic studies, literature reviews, expert opinions, letters, case reports, or outcomes unrelated relationships with MMP-9 or PTC. After deeply reading the complete text, eight studies were excluded due to patient cohort overlap and non-pooled effect sizes. Finally, we included fourteen published studies [12,13,14,15,16,17,18,19,20,21,22,23,24,25] that reported the correlation between MMP-9 and the clinicopathological indicators of PTC. The entire process involved in searching the literature is described in the flow chart (Fig. 1).

Fig. 1
figure 1

The entire process of literature search has been depicted in the flow diagram

Study characteristics

A total of 1433 patients with PTC were included in this meta-analysis. The main characteristics of the fourteen eligible studies are summarized in Table 1. Among all the included studies, data of MMP-9 on age, gender, tumour size, LNM, and TNM were reported in six, eleven, five, thirteen, and ten studies, respectively. The correlation between MMP-9 and the clinicopathological features is depicted in Fig. 2.

Fig. 2
figure 2

MMP-9 expression in PTC. A A total of 1345 PTC patients were collected from thirteen studies to assess whether the expression of MMP-9 in PTC is associated to LNM. B A total of 601 female and male patients with PTC were collected from five studies. C The OR of the ten studies was pooled, including 1104 stage I/II and stage III/IV. D Pooled OR from eleven studies, including 1162 patients with PTC. E A total of 578 PTC patients were collected from six studies

Correlation between the expression of MMP-9 and PTC

Lymph node metastasis (LNM)

Regarding the cases of lymph node metastases, thirteen studies were included in the meta-analysis. Among 911 patients with MMP-9 expression, 521 (57.2%) had lymph node metastasis, and among 434 patients without MMP-9 expression, 125 (28.8%) had lymph node metastasis. Due to significant heterogeneity in the data, a random-effects model was used (P = 0.08, I2 = 37.5%). According to our analysis, patients with high MMP-9 expression are more likely to develop lymph node metastasis. The overall OR was 3.92 (95% CI = 2.71–5.65, P = 0.000; Fig. 2A).

Tumour size

We included 601 PTC patients from the five studies that reported the tumour size. We used a fixed-effect model because there was no significant heterogeneity between tumour size and MMP-9 expression (P = 0.18, I2 = 36.2%). According to our analysis, patients with high MMP-9 expression had larger tumour volumes than those with low MMP-9 expression (OR = 1.69, 95% CI = 1.13–2.52, P = 0.011; Fig. 2B).

TNM stage

Ten studies have investigated the correlation between the expression of MMP-9 and TNM. The overall OR was 2.95 (95% CI = 2.10–4.13). No significant heterogeneity in this association was detected using a fixed-effect model (P = 0.19, I2 = 28.1%). Further analysis shows that the advanced TNM stage (III/IV) occurred more frequently in patients with high expression of MMP-9 than in those with low expression of MMP-9 (P = 0.000; Fig. 2C).


We screened eleven studies related to gender were included in the meta-analysis. MMP-9 was highly expressed in 206 of 296 male patients (69.6%) and 585 of 866 female patients (67.6%). The overall OR was 0.90 (95% CI = 0.66–1.22). No significant heterogeneity of this association was detected using fixed-effects models (P = 0.62, I2 = 0.0%). According to our analysis, MMP-9 expression was not associated with patient gender (P = 0.487; Fig. 2D).


In total, six age-related studies were selected and included in the meta-analysis. No significant heterogeneity was found by using the fixed-effects model (P = 0.13, I2 = 41.2%). MMP-9 expression was not associated with < 45 years old or ≥ 45 years old (OR = 1.36, 95% CI = 0.93–1.98, P = 0.115; Fig. 2E).

Sensitivity analysis

Heterogeneity exists in the included studies on lymph node metastasis (P = 0.06, I2 = 41.7%). We used the sensitivity analysis to test the stability of this meta-analysis. The analysis was repeated by removing one study at a time, and the exclusion of any study did not significantly change the results, indicating that the results were stable (Fig. 3).

Fig. 3
figure 3

TNM in the sensitivity analysis in the PTC meta-analysis

Publication bias

To evaluate the stability of the overall estimate, the Begg funnel plot and Egger linear regression test were used to assess bias in this meta-analysis. No publication bias was detected for LNM in Begg’s test (Pr >|Z|= 0.246; Fig. 4A) and Egger test (P >|t|= 0.563; Fig. 4B).

Fig. 4
figure 4

Begg funnel plot and Egger funnel plot in the meta-analysis of PTC. A Begg funnel plot of the LNM in the PTC meta-analysis. B Egger funnel plot of the LNM in the PTC meta-analysis


MMP-9, also known as gelatinase B, is one of the critical proteases that degrade the extracellular matrix and basement membrane, which could be activated by other MMPs or tissue plasminogen activator (tPA)-plasmin system, and plays a crucial role in the development of malignancy, invasion, metastasis, and angiogenesis [26, 27]. Previous studies have shown that MMP-9 is overexpressed in multiple cancers and is an important prognostic factor. According to the various studies shown, the positive expression rates of the MMP-9 were significantly higher in PTCs than in normal thyroid tissues [13]; in PTC, tumours were significantly higher than in benign thyroid tumours [16]; and in metastasis, tumour tissues were significantly higher than without metastasis [28]. MMP-9 is not only involved in a series of signaling pathways in thyroid cancer [29,30,31] but also promote the epithelia-mesenchymal transformation of thyroid carcinoma induced by TGF-1, thereby affecting cell migration and invasion [32]. In contrast to the rapid increase in thyroid cancer incidence, the mortality has remained low and stable over the last decades; balancing treatment risks with risks of disease progression is crucial [33]. Therefore, the identification of more and more molecular biomarkers could not only identify advanced patients who are high risk, more likely to develop metastases and poor prognosis, but also avoid overtreatment of low-risk patients.

A large number of relevant studies have been conducted, but the results are inconsistent due to the existing reports [34,35,36,37]. The association of papillary thyroid carcinoma pathological features with MMP-9 remains highly uncertain. This meta-analysis combined the outcomes of 1433 PTC patients from 14 individual studies to investigate the relationship between MMP-9 overexpression and the clinicopathological features of PTC. The results showed that patients with increased MMP-9 expression in PTC tended to have higher TNM stage, larger tumours, and were more prone to lymph node metastasis. In addition, MMP-9 overexpression was not associated with age and gender of PTC patients, which is the same as most studies. Therefore, we have reason to believe that MMP-9 is not only an indicator of patient prognosis but also a possible novel target for the treatment of PTC. No significant publication bias was found in the correlation analysis of this study. Sensitivity analysis showed that risk estimates for all outcomes were not significantly affected by any single study omission. Thus, the results are reliable in the meta-analysis.

In the study of Ilona, M. [38], total MMP-9 immunoreactivity was not associated with any clinicopathological factor, and active MMP-9 was found only in tumour tissue and was significantly associated with age, lymph node metastasis, extrathyroid infiltration, and degree of tumour infiltration; they suggested that overexpression of MMP-9 alone would not lead to the more aggressive behaviour of PTC. However, in the study of Roncevic, J. [18], the overexpression of MMP-9 was correlated with tumour size, TNM stage, lymph node metastasis, extrathyroid invasion, and degree of tumour invasion; active MMP-9 is associated only with lymph node metastasis and extrathyroid infiltrates. Although our meta-analysis confirmed the correlation between the overexpression of MMP-9 and the clinicopathology of PTC, little is known about the relationship between active MMP-9 and PTC, which needs to be confirmed by more relevant studies in the future.

Although we included all potentially eligible data to summarize the clinicopathological features of MMP-9 overexpression in thyroid papillary carcinoma, there were several confounding factors in this study that could affect the stability of our conclusions. Firstly, most of the literature included in this meta-analysis is from China. The results may only apply to Chinese or Asian populations, and publication bias is almost inevitable, and more reports from other regions need to be included to support this meta-analysis. Secondly, the experimental methods of the articles included in this study were all immunohistochemical analysis, and the results may be affected by the antibody used, antibody concentration, storage time, fixation method of paraffin-embedded tissue, and critical value. Finally, with the few articles and patients in this meta-analysis, more high-quality, multiple-sample size studies are still needed to support this result.


Although this paper has some limitations, the study’s results are still meaningful. From our main analysis results, we found that MMP-9 was not correlated with age and gender but was significantly correlated with tumour size, LNM, and TNM. The high expression of MMP-9 may be a reliable biomarker of poor prognosis in patients with thyroid papillary carcinoma, which can be used for future research and clinical diagnosis. In addition, it could be a potential target for cancer treatment. However, more high-quality, large-sample size studies and randomized controlled trials are needed in the future.

Availability of data and materials

The data that support the findings of this study are available from the corresponding author upon reasonable request.



Matrix metalloproteinase


Papillary thyroid carcinoma


Thyroid carcinoma


China National Knowledge Infrastructure


Lymph node metastasis


Extracellular matrix


Transforming growth factor-β1


Odds ratio


Confidence interval


  1. Liu X, Su C, Xu J, et al. Immunohistochemical analysis of matrix metalloproteinase-9 predicts papillary thyroid carcinoma prognosis. Oncol Lett. 2019;17(2):2308–16.

    CAS  PubMed  Google Scholar 

  2. Pan Q, Yuan T, Ding Q. Clinical value of matrix metalloproteinase-2 and -9 in ultrasound-guided radiofrequency ablation treatment for papillary thyroid carcinoma. J Int Med Res. 2020;48(8):1220717133.

    Article  Google Scholar 

  3. Luo JH, Zhang XX, Sun WH. F12 as a reliable diagnostic and prognostic biomarker associated with immune infiltration in papillary thyroid cancer. Aging (Albany NY). 2022;14(8):3687–704.

    Article  CAS  PubMed  Google Scholar 

  4. Saffar H, Sanii S, Emami B, et al. Evaluation of MMP2 and Caspase-3 expression in 107 cases of papillary thyroid carcinoma and its association with prognostic factors. Pathol Res Pract. 2013;209(3):195–9.

    Article  CAS  PubMed  Google Scholar 

  5. Laronha H, Caldeira J. Structure and function of human matrix metalloproteinases. Cells. 2020;9(5):1076.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. King SE. Matrix metalloproteinases: new directions toward inhibition in the fight against cancers. Future Med Chem. 2016;8(3):297–309.

    Article  CAS  PubMed  Google Scholar 

  7. Augoff K, Hryniewicz-Jankowska A, Tabola R, et al. MMP9: a tough target for targeted therapy for cancer. Cancers (Basel). 2022;14(7):1847.

    Article  CAS  PubMed  Google Scholar 

  8. Jiang H, Li H. Prognostic values of tumoral MMP2 and MMP9 overexpression in breast cancer: a systematic review and meta-analysis. BMC Cancer. 2021;21(1):149.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Liu C, Shen Y, Tan Q. Diagnostic and prognostic values of MMP-9 expression in ovarian cancer: a study based on bioinformatics analysis and meta-analysis. Int J Biol Markers. 2022;38(1):15–24.

    Article  PubMed  Google Scholar 

  10. Zhang H, Zhao B, Zhai ZG, et al. Expression and clinical significance of MMP-9 and P53 in lung cancer. Eur Rev Med Pharmacol Sci. 2021;25(3):1358–65.

    CAS  PubMed  Google Scholar 

  11. Araujo RJ, Lira GA, Vilaca JA, et al. Prognostic and diagnostic implications of MMP-2, MMP-9, and VEGF-alpha expressions in colorectal cancer. Pathol Res Pract. 2015;211(1):71–7.

    Article  PubMed  Google Scholar 

  12. Li N, Cui M, Yu P, et al. Correlations of lncRNAs with cervical lymph node metastasis and prognosis of papillary thyroid carcinoma. Onco Targets Ther. 2019;12:1269–78.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Ni W, Rong J, Jun-Yan Y, et al. Expression of TGF-β1, SNAI1 and MMP-9 is associated with lymph node metastasis in papillary thyroid carcinoma. J Mol Histol. 2014;45(4):391–9.

    Article  Google Scholar 

  14. Tian W, et al. Expressions and clinical significances of HIF-1α, ERα and MMP-9 in papillary thyroid carcinoma. Chinese J Otorhinolaryngol Skull Base Surg. 2017;23(06):559–62.

    Google Scholar 

  15. Yang L, et al. The expression and significance of HIF -1α, SIP1 and MMP -9 in papillary thyroid carcinoma. Immunol J. 2014;30(10):897–901.

    CAS  Google Scholar 

  16. Meng X, Zhang Q, Li Q, et al. Immunohistochemical levels of cyclo-oxygenase-2, matrix metalloproteinase-9 and vascular endothelial growth factor in papillary thyroid carcinoma and their clinicopathological correlations. J Int Med Res. 2014;42(3):619–27.

    Article  PubMed  Google Scholar 

  17. Shi JH, Wang WY, Li Y. Expression of MMP-9, TIMP-1, and NF-kB in papillary thyroid carcinoma and its significance. Chin J Endocrinol Metab. 2010;02:129–31.

    Google Scholar 

  18. Roncevic J, Djoric I, Selemetjev S, et al. MMP-9-1562 C/T single nucleotide polymorphism associates with increased MMP-9 level and activity during papillary thyroid carcinoma progression. Pathology. 2019;51(1):55–61.

    Article  CAS  PubMed  Google Scholar 

  19. Dong YH, et al. The expression and clinical significance of pERK and MMP-9 in thyroid papillary carcinoma. Pract Prev Med. 2012;19(10):1544–6.

    CAS  Google Scholar 

  20. Wang ZH, et al. Clinical significances of the TSHR and MMP-9 expressions in papillary thyroid carcinoma. J Dalian Med Univ. 2012;34(05):443–5.

    Google Scholar 

  21. Chen SQ, Yuang HH, Feng LX. The expression and significance of ERα, ERβ and MMP- 9 in papillary thyroid carcinoma. Anhui Med Pharm J. 2018;22(06):1112–5.

    Google Scholar 

  22. Huang P, et al. Expression of HMGBl, MMP-9 and VEGF-C in papillary thyroid carcinoma. Chin J Endoer Surg. 2013;7(04):265–8.

    Google Scholar 

  23. Liu XC, et al. Relationship between the BRAFV600E mutation and the expression of MMP-2 and MMP-9 in the papillary thyroid carcinoma. Chin J Curr Adv Gen Surg. 2020;23(07):518–22.

    CAS  Google Scholar 

  24. Zhang J, et al. Relationship between expressions of VEGF, MMP-9, COX-2 and lymph node metastasis and angiogenesis in papillary thyroid carcinoma. Cancer Res Prev Treat. 2010;37(04):441–4.

    CAS  Google Scholar 

  25. Liu Z, et al. Expression of MMP-9 and chemokine receptor CXCR7 protein in papillary thyroid carcinoma and its biological significance. Mod Oncol. 2014;22(04):802–5.

    CAS  Google Scholar 

  26. Gong L, Wu D, Zou J, 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.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Li Y, He J, Wang F, et al. Role of MMP-9 in epithelial-mesenchymal transition of thyroid cancer. World J Surg Oncol. 2020;18(1):181.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Liang HS, Zhong YH, Luo ZJ, et al. Assessment of biomarkers for clinical diagnosis of papillary thyroid carcinoma with distant metastasis. Int J Biol Markers. 2010;25(1):38–45.

    Article  CAS  PubMed  Google Scholar 

  29. Jia W, Gao XJ, Zhang ZD, et al. S100A4 silencing suppresses proliferation, angiogenesis and invasion of thyroid cancer cells through downregulation of MMP-9 and VEGF. Eur Rev Med Pharmacol Sci. 2013;17(11):1495–508.

    CAS  PubMed  Google Scholar 

  30. Su Z, Bao W, Yang G, et al. SOX12 promotes thyroid cancer cell proliferation and invasion by regulating the expression of POU2F1 and POU3F1. Yonsei Med J. 2022;63(6):591–600.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Ouyang X, Feng L, Yao L, et al. Testicular orphan receptor 4 (TR4) promotes papillary thyroid cancer invasion via activating circ-FNLA/miR-149-5p/MMP9 signaling. Mol Ther Nucleic Acids. 2021;24:755–67.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Yuanchun L, Jing H, Feng W, et al. Role of MMP-9 in epithelial-mesenchymal transition of thyroid cancer. World J Surg Oncol. 2020;18(1):181.

    Article  Google Scholar 

  33. Solis-Pazmino P, Salazar-Vega J, Lincango-Naranjo E, et al. Thyroid cancer overdiagnosis and overtreatment: a cross- sectional study at a thyroid cancer referral center in Ecuador. BMC Cancer. 2021;21(1):42.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Maeta H, Ohgi S, Terada T. Protein expression of matrix metalloproteinases 2 and 9 and tissue inhibitors of metalloproteinase 1 and 2 in papillary thyroid carcinomas. Virchows Arch. 2001;438(2):121–8.

    Article  CAS  PubMed  Google Scholar 

  35. Lin SY, Wang YY, Sheu WH. Preoperative plasma concentrations of vascular endothelial growth factor and matrix metalloproteinase 9 are associated with stage progression in papillary thyroid cancer. Clin Endocrinol (Oxf). 2003;58(4):513–8.

    Article  CAS  PubMed  Google Scholar 

  36. Zhang WJ, Song B, Yang T. MMP-2, MMP-9, TIMP-1, and TIMP-2 in the peripheral blood of patients with differentiated thyroid carcinoma. Cancer Manag Res. 2019;11:10675–81.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Ivkovic I, Limani Z, Jakovcevic A, et al. Role of matrix metalloproteinases and their inhibitors in locally invasive papillary thyroid cancer. Biomedicines. 2022;10(12):3178.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Ilona M, Dubravka C, Sonja S, et al. Enhanced activation of matrix metalloproteinase-9 correlates with the degree of papillary thyroid carcinoma infiltration. Croat Med J. 2014;55(2):128–37.

    Article  Google Scholar 

Download references


This study would not have been possible without the profound guidance of the supervisor, the joint efforts of the co-authors, and valuable reference materials.



Author information

Authors and Affiliations



Proposed ideas, Conceived and Designed: Jinxu Wen and Jiayi Zhang. Screened the literature data: Xiaoyong Wu and Xuemin Yan. Analyzed the results: Kewen Lu, Xiangdong Zhao and Pei Yang. Writing-First draft: Jinxu Wen and Shuaichong Ji. Writing-Review and Editing: Yuexin Wang and Xiaoru Qin. All authors read and approved the final version of the manuscript.

Corresponding author

Correspondence to Yuexin Wang.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1:

 Supplementary file 1. The detailed search strategies for each database.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wen, J., Qin, X., Zhang, J. et al. Clinical significance of matrix metalloproteinase-9 expression in papillary thyroid carcinoma: a meta-analysis. World J Surg Onc 21, 225 (2023).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Matrix metalloproteinase-9
  • Papillary thyroid carcinoma
  • Immunohistochemistry
  • Biomarker