Abstract:Matrix metalloproteinase-12 (MMP12) is involved in many pathological processes including cancer. The expression and function of MMP12 in lung adenocarcinoma (LAC) remain unclear. The present study aimed to investigate the correlation of MMP12 expression with LAC patients and clarify its role in growth and invasion of LAC cells. The expression of MMP12 in human LAC was examined by immunohistochemical assay using a tissue microarray procedure. A loss-offunction experiment was used for observing the effects of le… Show more
“…Matrix metalloproteinase-12 is involved in many pathological processes including cancer and it plays an essential role in invasion and metastasis of tumour cells. [17][18][19] Increased expression of MMP12 was observed in certain types of cancer, such as gastric cancer, 17 lung adenocarcinoma, 18 nasopharyngeal carcinoma 19 and cutaneous melanoma. 20 Knockdown of MMP12 inhibited proliferation and invasion of lung adenocarcinoma as well as nasopharyngeal carcinoma.…”
Objective: To investigate the prognostic significance of 23 matrix metalloproteinase (MMP) genes in patients diagnosed with ovarian carcinoma. Methods: The prognostic significance of 23 MMP genes in patients diagnosed with ovarian carcinoma was investigated using the Kaplan-Meier plotter (KM plotter), which uses the gene expression data and overall survival information of patients with ovarian cancer that were downloaded from the Gene Expression Omnibus, Cancer Biomedical Informatics Grid and The Cancer Genome Atlas cancer datasets. The correlation between mRNA levels of individual MMPs (MMP2, MMP9, MMP10, MMP12, MMP13 and MMP25) and clinicopathological features (histological subtype, pathological grade and clinical stage) were investigated. The MMP protein level profiles in normal ovarian tissues and ovarian cancer tissues were examined using the Human Protein Atlas database. Results: The results showed that high mRNA levels of MMP2 and MMP13 were associated with a worse overall survival in patients with ovarian cancer, whereas high mRNA levels of MMP9, MMP10, MMP12 and MMP25 were associated with a better overall survival. The protein levels of MMP2, MMP9, MMP10 and MMP25 in ovarian cancer tissues were elevated compared with normal ovarian tissues. Conclusions: This study demonstrated that MMPs can be a reliable prognostic biomarker for ovarian cancer.
“…Matrix metalloproteinase-12 is involved in many pathological processes including cancer and it plays an essential role in invasion and metastasis of tumour cells. [17][18][19] Increased expression of MMP12 was observed in certain types of cancer, such as gastric cancer, 17 lung adenocarcinoma, 18 nasopharyngeal carcinoma 19 and cutaneous melanoma. 20 Knockdown of MMP12 inhibited proliferation and invasion of lung adenocarcinoma as well as nasopharyngeal carcinoma.…”
Objective: To investigate the prognostic significance of 23 matrix metalloproteinase (MMP) genes in patients diagnosed with ovarian carcinoma. Methods: The prognostic significance of 23 MMP genes in patients diagnosed with ovarian carcinoma was investigated using the Kaplan-Meier plotter (KM plotter), which uses the gene expression data and overall survival information of patients with ovarian cancer that were downloaded from the Gene Expression Omnibus, Cancer Biomedical Informatics Grid and The Cancer Genome Atlas cancer datasets. The correlation between mRNA levels of individual MMPs (MMP2, MMP9, MMP10, MMP12, MMP13 and MMP25) and clinicopathological features (histological subtype, pathological grade and clinical stage) were investigated. The MMP protein level profiles in normal ovarian tissues and ovarian cancer tissues were examined using the Human Protein Atlas database. Results: The results showed that high mRNA levels of MMP2 and MMP13 were associated with a worse overall survival in patients with ovarian cancer, whereas high mRNA levels of MMP9, MMP10, MMP12 and MMP25 were associated with a better overall survival. The protein levels of MMP2, MMP9, MMP10 and MMP25 in ovarian cancer tissues were elevated compared with normal ovarian tissues. Conclusions: This study demonstrated that MMPs can be a reliable prognostic biomarker for ovarian cancer.
“…NSCLC patients with positive expression of MMP12 had a higher Hazard Ratio value for DFS and OS (1.72 (95%CI,1.30–2.26);1.73(95%CI1.28–2.54)). Knockdown of MMP12 inhibited proliferation and invasion of lung adenocarcinoma cells followed by the down-regulation of proliferating cell nuclear antigen (PCNA) and vascular endothelial growth factor (VEGF) [ 25 ].These results demonstrated that MMP12 played an important role in tumor invasiveness and metastasis.…”
BackgroundThe current TNM staging system is far from perfect in predicting the survival of individual non-small cell lung cancer (NSCLC) patients. In this study, we aim to combine clinical variables and molecular biomarkers to develop a prognostic model for patients with NSCLC.MethodsCandidate molecular biomarkers were extracted from the Gene Expression Omnibus (GEO), and Cox regression analysis was performed to determine significant prognostic factors. The survival prediction model was constructed based on multivariable Cox regression analysis in a cohort of 152 NSCLC patients. The predictive performance of the model was assessed by the Area under the Receiver Operating Characteristic Curve (AUC) and Kaplan–Meier survival analysis.ResultsThe survival prediction model consisting of two genes (TPX2 and MMP12) and two clinicopathological factors (tumor stage and grade) was developed. The patients could be divided into either high-risk group or low-risk group. Both disease-free survival and overall survival were significantly different among the diverse groups (P < 0.05). The AUC of the prognostic model was higher than that of the TNM staging system for predicting survival.ConclusionsWe developed a novel prognostic model which can accurately predict outcomes for patients with NSCLC after surgery.Electronic supplementary materialThe online version of this article (10.1186/s12885-018-4881-9) contains supplementary material, which is available to authorized users.
“…Additionally, MMP2 and MMP12 belong to the group of MMPs, which are known for their key role in tumor metastasis and invasiveness (30,31). Recent studies have shown that inhibition of MMP2 and MMP12 suppresses the invasion of gastric and lung cancers (32,33). …”
MicroRNAs (miRNAs) regulate various oncogenes concomitantly, resulting in tumor suppression. They regulate proliferation and migration pathways in tumor development, suggesting a potential therapeutic role. In the present study, we found that miR-647 was markedly downregulated in gastric cancer (GC), and was significantly correlated with reduced tumor size and metastasis. In addition, miR-647 was also reduced in GC cell lines. Furthermore, overexpression of miR-647 in the GC cell lines inhibited cell proliferation, promoted cell cycle arrest at the G0/G1 phase and induced cell apoptosis. miR-647 also significantly inhibited tumor growth in vivo. Notably, we found that miR-647 overexpression suppressed the migration and invasion of the cancer cells, particularly liver metastasis in nude mice. miR-647 also reduced the expression levels of genes associated with proliferation and metastasis in tumors, including ANK2, FAK, MMP2, MMP12, CD44 and SNAIL1. Overall, our findings demonstrated that miR-647 exerts powerful antitumorigenic effects in vitro and in vivo, and may represent a promising therapeutic agent against GC.
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