The Influence of Functional Polymorphisms in Matrix Metalloproteinase 9 on Survival of Breast Cancer Patients in a Chinese Population

Fu, Fangmeng; Wang, Chuan; Chen, Limin; Huang, Meng; Huang, Heguang

doi:10.1089/dna.2012.1928

Cited by 14 publications

(13 citation statements)

References 29 publications

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“…We conducted a subtype-specific GWAS, unlike other previous studies that had conducted a GWAS for overall breast cancer before stratifying by ER, PR, and HER2 status because breast cancer is considered as a heterogeneous disease for which the prognosis varies across subtypes[ 34 ]. This intertumor heterogeneity is plausible in that breast cancer could originate from different cell types according to the tumor subtype[ 35 ] and is supported by previous studies showing the heterogeneous associations between SNPs and the prognosis of breast cancer by ER, PR and HER2 status[ 15 , 18 – 27 ], in agreement with the current study ( Fig 2 ). Another reason for the subtype-specific analyses was that breast cancer subtypes are considered as a predictor factor that distinguishes different responses to particular therapies among patients[ 36 ].…”

Section: Discussionsupporting

confidence: 92%

Prediction of Breast Cancer Survival Using Clinical and Genetic Markers by Tumor Subtypes

et al. 2015

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PurposeTo identify the genetic variants associated with breast cancer survival, a genome-wide association study (GWAS) was conducted of Korean breast cancer patients.MethodsFrom the Seoul Breast Cancer Study (SEBCS), 3,226 patients with breast cancer (1,732 in the discovery and 1,494 in the replication set) were included in a two-stage GWAS on disease-free survival (DFS) by tumor subtypes based on hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2). The associations of the re-classified combined prognostic markers through recursive partitioning analysis (RPA) of DFS for breast cancer were assessed with the Cox proportional hazard model. The prognostic predictive values of the clinical and genetic models were evaluated by Harrell’s C.ResultsIn the two-stage GWAS stratified by tumor subtypes, rs166870 and rs10825036 were consistently associated with DFS in the HR+ HER2- and HR- HER2- breast cancer subtypes, respectively (P rs166870=2.88×10-7 and P rs10825036=3.54×10-7 in the combined set). When patients were classified by the RPA in each subtype, genetic factors contributed significantly to differentiating the high risk group associated with DFS inbreast cancer, specifically the HR+ HER2- (P discovery=1.18×10-8 and P replication=2.08×10-5) and HR- HRE2- subtypes (P discovery=2.35×10-4 and P replication=2.60×10-2). The inclusion of the SNPs tended to improve the performance of the prognostic models consisting of age, TNM stage and tumor subtypes based on ER, PR, and HER2 status.ConclusionCombined prognostic markers that include clinical and genetic factors by tumor subtypes could improve the prediction of survival in breast cancer.

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Section: Discussionsupporting

confidence: 92%

Prediction of Breast Cancer Survival Using Clinical and Genetic Markers by Tumor Subtypes

et al. 2015

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“…In 2013, a study evaluated MMP9 gene polymorphism as a potential biomarker to predict breast cancer prognosis in Chinese women. The authors found that carriers of the rs3787268 GA + AA genotype and rs17577 GG genotype showed significantly reduced survival rates among breast cancer patients with ER (+) and Her-2 (-) 20 . Our results suggested that the G allele of rs17577 had a protective effect compared with the A allele; this finding conflicts with the findings of the breast cancer study.…”

Section: Discussionmentioning

confidence: 99%

Association of Smoking and XPG, CYP1A1, OGG1, ERCC5, ERCC1, MMP2, and MMP9 Gene Polymorphisms with the early detection and occurrence of Laryngeal Squamous Carcinoma

Zhu¹,

Guo²,

Wang³

et al. 2018

J. Cancer

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A total of 200 smoking-related laryngeal carcinoma patients with pathology confirmation from the Eye and ENT Hospital and 190 high-risk smokers were included in a survey. All of the participants had a smoking index greater than 400 (cigarettes/day*year.) We obtained data on clinical and baseline characteristics, and peripheral blood was obtained and subjected to DNA extraction to analyse the correlation between smoking and the occurrence of laryngeal carcinoma. We selected candidate genes and SNP fragments that were found to be closely associated with smoking-related tumours in preliminary studies. The selected candidate genes were XPG, CYP1A1, OGG1, ERCC5, ERCC1, MMP2, and MMP9. We then performed SNP sequencing using Sequenom SNP detection technology. Target genes and single nucleotide polymorphism (SNP) fragments were evaluated to analyse the correlation between genotype or allele and smoking-related laryngeal carcinoma and to identify susceptibility genes related to laryngeal carcinoma. The results included four main findings: (1) The smoking index differed significantly between laryngeal cancer patients and control subjects (P=0.0035). The risk of laryngeal cancer was increased among individuals with a smoking index greater than 600 cigarettes/day*year (P=0.03). (2) The smoking index was significantly correlated with the T, N and clinical stages (P<0.05). (3) The polymorphisms CYP1A1-rs1048943, rs4646421, and rs4646422 and MMP9-rs17577 were significantly associated with laryngeal squamous carcinoma (P<0.05). (4) After stratifying the subjects by smoking degree, the GT genotype of ERCC1-rs2298881 was associated with a significantly greater risk of laryngeal carcinoma among heavy smokers (P=0.04). The results suggest that smoking plays an important role in the occurrence and development of laryngeal squamous carcinoma; CYP1A1 and MMP9 might be susceptibility gene SNPs for smoking-related laryngeal carcinoma, and ERCC1 might play an important role in heavy smokers. The results of this study might help identify an early marker for the detection and prevention of laryngeal carcinoma.

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“…In a study on 245 Chinese women with invasive breast cancer, Fu et al ( 14 ) showed no correlation between MMP-9 rs17576 variant and survival free from locoregional disease and distant metastasis. Similarly, in a meta-analysis review, including ten articles evaluating MMP-9 polymorphic variants, Zhang et al ( 17 ) found that the MMP-9 rs17576 polymorphism had been evaluated in only three studies and had demonstrated no association between this SNP locus and changes in breast cancer risk.…”

Section: Discussionmentioning

confidence: 99%

Association between matrix metalloproteinase-9 gene polymorphism and breast cancer in Brazilian women

Oliveira¹,

Chagas²,

Amorim³

et al. 2020

Clinics

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OBJECTIVE: This study aimed to determine the relationship between rs17576 (MMP-9) polymorphism and increased cancer risk in a Brazilian breast cancer cohort. METHODS: This study included 141 women (71 breast cancer patients and 70 controls without breast cancer) who donated 3 mL of their peripheral blood for genomic DNA extraction. This DNA was then genotyped using a real-time polymerase chain reaction. RESULTS: The AG (rs17576) genotype was identified in 26 (18.43%) participants in the case group and in 22 (15.60%) participants in the control group ( p =0.274), while the GG genotype was identified in ten (7.09%) participants in the case group and in one (0.70%) participant in the control group ( p <0.003 - OR (95% CI) 13.13 (1.73, 593.08). No significant difference in the incidence rates was observed for AG or GG rs17576 genotypes in premenopausal women, p =0.813 and p =0.556, respectively. However, in postmenopausal women, the AG genotype was shown to occur in 14 (22.5%) participants in the case group and in 4 (6.45%) participants in the control ( p <0.043), while GG genotype occurred in eight (12.90%) of the individuals in the case group and in none of the individuals in the control group ( p <0.006). CONCLUSION: In this study, the MMP-9 rs17576 GG polymorphic variant was shown to be significantly associated with breast cancer risk in premenopausal women, while the AG and GG genotypes were associated with increased cancer risk in postmenopausal women.

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The Influence of Functional Polymorphisms in Matrix Metalloproteinase 9 on Survival of Breast Cancer Patients in a Chinese Population

Cited by 14 publications

References 29 publications

Prediction of Breast Cancer Survival Using Clinical and Genetic Markers by Tumor Subtypes

Prediction of Breast Cancer Survival Using Clinical and Genetic Markers by Tumor Subtypes

Association of Smoking and XPG, CYP1A1, OGG1, ERCC5, ERCC1, MMP2, and MMP9 Gene Polymorphisms with the early detection and occurrence of Laryngeal Squamous Carcinoma

Association between matrix metalloproteinase-9 gene polymorphism and breast cancer in Brazilian women

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