Literature DB >> 16615109

Circulating MMP2 and MMP9 in breast cancer -- potential role in classification of patients into low risk, high risk, benign disease and breast cancer categories.

Stella B Somiari1, Richard I Somiari, Caroline M Heckman, Cara H Olsen, Rick M Jordan, Stephen J Russell, Craig D Shriver.   

Abstract

Matrix metalloproteinase (MMP) 2 and 9 are involved in cancer invasion and metastasis, and increased levels occur in serum and plasma of breast cancer (BC) patients. It is, however, unclear whether changes in serum levels can be exploited for early detection or classification of patients into different risk/disease categories. In our study, we measured concentration and activity of MMP2/9 in sera of 345 donors classified as low risk (Gail score <1.7), high risk (HR) (Gail score > or =1.7), benign disease or BC. Kruskal-Wallis and Mann-Whitney nonparametric tests showed that total-MMP2 concentration is higher in HR compared to control (p = 0.012), benign (p = 0.001) and cancer (p = 0.007). Active MMP2 (aMMP2) concentration is higher in control than benign and cancer (p < 0.001, respectively). Total and aMMP9 concentrations are higher in cancer than benign (p < 0.001, p = 0.002, respectively). Total-MMP2 and total-MMP9 activities are lower in control than benign (p < 0.001, p = 0.002, respectively) and cancer (p < 0.001, respectively). Total-MMP2 and MMP9 activities are also higher in cancer than benign (p = 0.004, p < 0.001) and HR (p = 0.008, p = 0.007, respectively). These results were not affected by age or inclusion/exclusion of donors with noninvasive cancer or atypical hyperplasia. Linear discriminant analysis revealed that HR donors are characterized by lower total-MMP2 and higher aMMP2. Overall group classification accuracy was 64.5%. Independent validation based on the leave-one-out cross validation approach gave an overall classification of 63%. Our study provides evidence supporting the potential role of serum MMP2/9 as biomarkers for breast disease classification.

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Year:  2006        PMID: 16615109     DOI: 10.1002/ijc.21989

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  47 in total

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3.  MMP9 polymorphisms and breast cancer risk: a report from the Shanghai Breast Cancer Genetics Study.

Authors:  Alicia Beeghly-Fadiel; Wei Lu; Xiao-Ou Shu; Jirong Long; Qiuyin Cai; Yongbin Xiang; Yu-Tang Gao; Wei Zheng
Journal:  Breast Cancer Res Treat       Date:  2010-08-20       Impact factor: 4.872

4.  Relationship between matrix metalloproteinase-9 and common carotid artery intima media thickness.

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Journal:  Neurol Sci       Date:  2015-08-30       Impact factor: 3.307

5.  Expression of TGF-β1, SNAI1 and MMP-9 is associated with lymph node metastasis in papillary thyroid carcinoma.

Authors:  Ni Wang; Rong Jiang; Jun-Yan Yang; Cui Tang; Lei Yang; Man Xu; Qi-Feng Jiang; Zhi-Min Liu
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6.  Evaluation of neuroprotective effects of insulin on immuno-inflammatory and systemic disorders induced by kaliotoxin, a Kv1.3 channel blocker.

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7.  Effects of ginsenoside Rh2 on growth and migration of pancreatic cancer cells.

Authors:  Xi-Ping Tang; Guo-Du Tang; Chun-Yun Fang; Zhi-Hai Liang; Lu-Yi Zhang
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Review 8.  Matrix metalloproteinases stimulate epithelial-mesenchymal transition during tumor development.

Authors:  Lidiya S Orlichenko; Derek C Radisky
Journal:  Clin Exp Metastasis       Date:  2008-02-20       Impact factor: 5.150

Review 9.  Breast cancer epidemic in the early twenty-first century: evaluation of risk factors, cumulative questionnaires and recommendations for preventive measures.

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Journal:  Tumour Biol       Date:  2016-07-22

10.  Circulating levels of matrix metalloproteinase-9 (MMP-9), neutrophil gelatinase-associated lipocalin (NGAL) and their complex MMP-9/NGAL in breast cancer disease.

Authors:  Xeni Provatopoulou; Antonia Gounaris; Eleni Kalogera; Flora Zagouri; Ioannis Flessas; Evgenios Goussetis; Afroditi Nonni; Ioannis Papassotiriou; George Zografos
Journal:  BMC Cancer       Date:  2009-11-04       Impact factor: 4.430

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