MMP1 rs1799750 Single Nucleotide Polymorphism and Lung Cancer Risk: A Meta-analysis

Hu, Jiang; Luo, Zhiguo

doi:10.7314/apjcp.2012.13.12.5981

Cited by 10 publications

(10 citation statements)

References 23 publications

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“…On the other hand, we also analyzed the MMP13 -77A/G polymorphism. Compared with several other meta-analysis about MMP polymorphisms and lung cancer risk reported by Guo XT et al 45 , Hu J et al 46 and Wang J et al 47 , we identified more eligible studies, evaluated more SNPs(MMP1-1607 1G/2G, MMP2-1306 C/T, MMP2-735 C/T, MMP9 -1562 C/T and MMP13 -77A/G) and performed analysis by a comprehensive strategy, while they only analyzed single polymorphism and lung cancer risk.…”

Section: Discussionmentioning

confidence: 76%

“…MMP polymorphisms and lung cancer risk have been investigated by several meta-analyses 44 45 46 47 . Recently, Hu et al conducted a comprehensive meta-analysis about five MMP polymorphisms and lung cancer susceptibility, and found that the MMP1-1607 1G/2G and MMP2-1306 C/T confer significantly susceptibility to lung cancer, and MMP1-1607’s effect was dependent on ethnicity, consistent with the results of this meta-analysis 44 .…”

Section: Discussionmentioning

confidence: 99%

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Association of matrix metalloproteinase family gene polymorphisms with lung cancer risk: logistic regression and generalized odds of published data

Liang

Qin

et al. 2015

Sci Rep

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Many studies have reported the association between the matrix metalloproteinase (MMP) polymorphisms and lung cancer susceptibility, but the results were inconclusive. We conducted a meta-analysis, using a comprehensive strategy based on the logistic regression and a model-free approach, to derive a more precise estimation of the relationship between MMP1, MMP2, MMP9 and MMP13 polymorphisms with lung cancer risk. A total of 22 case-control studies including 8202 cases and 7578 controls were included in this meta-analysis. For MMP1-1607 1G/2G, increased lung cancer risk was found among Asians in additive model(OR = 1.34, 95%CI:1.18-1.53) and with model-free approach(ORG = 1.41, 95%CI:1.21-1.65). For MMP2-1306 C/T and -735 C/T, based on the model-free approach, a significantly reduced risk was found in Asians(MMP2-1306 C/T:ORG = 0.49,95%CI:0.42-0.57; MMP2-735 C/T: ORG = 0.71, 95%CI:0.61-0.84). For MMP9-1562 C/T, a significantly increased risk was found among Asians(OR = 2.73, 95%CI:1.74-4.27) with model-free approach. For MMP13-77A/G, there was no association between this polymorphism and lung cancer risk in the recessive model(OR = 1.02, 95%CI:0.83-1.26) and with the model-free approach(ORG = 0.95, 95%CI:0.76-1.17). Therefore, this meta-analysis suggests that the MMP1-1607 1G/2G, MMP2-1306 C/T, MMP2-735 C/T, MMP9 -1562 C/T polymorphisms were risk factors for lung cancer among Asians, while MMP13 -77A/G polymorphism was not associated with lung cancer risk.

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Section: Discussionmentioning

confidence: 76%

Section: Discussionmentioning

confidence: 99%

Association of matrix metalloproteinase family gene polymorphisms with lung cancer risk: logistic regression and generalized odds of published data

Liang

Qin

et al. 2015

Sci Rep

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“…Our research suggests that PLEK2 and SCN7A may be used as potential biological markers for the early diagnosis of NSCLC. [20,21], MMP12 [22], UBE2T [23], ECT2 [24,25], SULF1 [26], HMGB3 [27], and CTHRC1 [28,29]. Besides, we identified PLEK2 and SCN7A as potential biomarkers of NSCLC.…”

Section: Discussionmentioning

confidence: 99%

PLEK2 and SCN7A: novel biomarkers of non-small cell lung cancer

Liu

Chang

et al. 2020

Preprint

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Background Lung cancer is the leading cause of cancer-related death globally, and non-small cell lung cancer (NSCLC) is the most common type of lung cancer. However, the diagnosis and prognosis of NSCLC remain dim. Our team has focused on identifying differentially expressed genes (DEGs) between NSCLC tissues and adjacent tissues, which may be useful as effective diagnostic markers that can better explain the progression of NSCLC.Methods The Gene Expression Omnibus (GEO) database was used to screen the Gene Expression Omnibus series, which records the information of a large number of patients with primary NSCLC (n > 50). Then, the DEGs were validated using Student’s t -test. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed using DAVID. The prognosis information was analyzed separately using data obtained from three databases, Human Protein Atlas, Kaplan–Meier Plotter, and SurvExpress.Results A series of 180 DEGs (33 upregulated and 147 downregulated genes), mainly involving genes associated with extracellular exosomes, focal adhesion, and cell adhesion, were identified via GO analysis. Subsequently, KEGG analysis demonstrated that focal adhesion, cell adhesion molecules, and PPAR signaling pathway were the most enriched pathways. Then, we paid particular attention to pleckstrin 2 (PLEK2) and sodium voltage-gated channel alpha subunit 7 (SCN7A), as they have not been investigated as cancer-related genes previously. Kaplan–Meier survival analysis illustrated that PLEK2 and SCN7A levels were significantly correlated with the prognosis of NSCLC.Conclusions Our research found that, as potential biomarkers, both PLEK2 and SCN7A are related to the development and prognosis of NSCLC. They may be used in disease screening and prognosis. The clinical significance of these two genes deserves further investigation.

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“…Hu et al’s results showed that the MMP1 rs1799750 polymorphism is associated with a decreased risk of lung cancer in Asian, but not in Caucasian subjects. 24 Taken together, the relationship between MMP1 rs1799750 polymorphism and cancer risk may be disease-specific and may depend on other factors, such as race, age, habits, etc. There are another two studies that relate to GC and MMP1 , included in Li et al (2013) 25 and Yang et al (2014).…”

Section: Discussionmentioning

confidence: 99%

Association between promoter polymorphisms of matrix metalloproteinase-1 and risk of gastric cancer

Peng

2015

OTT

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Growing evidences show that matrix metalloproteinase-1 (MMP1) plays important roles in tumorigenesis and cancer metastasis. The interactions between MMP1−1607 1G>2G polymorphism and risk of gastric cancer (GC) have been reported, but results remained ambiguous. To determine the association between MMP1−1607 1G>2G polymorphism and risk of GC, we conducted a meta-analysis and identified the outcome data from all the research papers estimating the association between MMP1−1607 1G>2G polymorphism and GC risk, which was based on comprehensive searches using databases such as PubMed, Elsevier Science Direct, Excerpta Medica Database (EMBASE), and Chinese National Knowledge Infrastructure (CNKI). The fixed-effects model was used in this meta-analysis. Data were extracted, and pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated. In this meta-analysis, six studies involving 1,377 cases and 1,543 controls were included. We identified the significant association between MMP1−1607 1G>2G polymorphism and GC risk for allele model (OR =1.05; 95% CI, 1.01−1.08), for dominant model (OR =1.11; 95% CI, 1.08−1.15), and for recessive model (OR =1.06; 95% CI, 0.98−1.14). In summary, our analysis demonstrated that MMP1−1607 1G>2G polymorphism was significantly associated with an increased risk of GC.

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MMP1 rs1799750 Single Nucleotide Polymorphism and Lung Cancer Risk: A Meta-analysis

Cited by 10 publications

References 23 publications

Association of matrix metalloproteinase family gene polymorphisms with lung cancer risk: logistic regression and generalized odds of published data

Association of matrix metalloproteinase family gene polymorphisms with lung cancer risk: logistic regression and generalized odds of published data

PLEK2 and SCN7A: novel biomarkers of non-small cell lung cancer

Association between promoter polymorphisms of matrix metalloproteinase-1 and risk of gastric cancer

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