Correlation between MMP2 expression in lung cancer tissues and clinical parameters: a retrospective clinical analysis
- PDF / 1,264,945 Bytes
- 9 Pages / 595.276 x 790.866 pts Page_size
- 28 Downloads / 201 Views
RESEARCH ARTICLE
Open Access
Correlation between MMP2 expression in lung cancer tissues and clinical parameters: a retrospective clinical analysis Liping Han1,2†, Baowei Sheng1,2†, Qingdi Zeng2,3, Wei Yao4 and Qiufang Jiang1,2*
Abstract Background: Matrix metalloproteinase 2 (MMP2) has been found to be related to malignant tumors; the aim of this study was to investigate the correlation between MMP2 expression in lung cancer tissues and clinical parameters of lung cancer. Methods: The expression of MMP2 in lung cancer tissues and in adjacent non-malignant tissues was tested by immunohistochemistry. The correlation between the expression of MMP2 and clinical parameters of lung cancer was analyzed by Kaplan-Meier curve and multiple regression analysis. Results: The expression of MMP2 was higher in lung cancer tissues than that in adjacent non-malignant tissues (p = 0.002). Increased MMP2 was associated with low differentiation (p = 0.022), tumor size (p = 0.032), lymph node metastasis (p < 0.001), advanced stage (p = 0.002). The post-surgical survival time in patients with high MMP2 expression was shorter than that in patients with low MMP2 expression (p = 0.001). High expression of MMP2 (p = 0.006) and advanced stage (p = 0.003) were independent prognostic indicators for survival of lung cancer patients. Conclusions: Increased MMP2 correlates with malignant biological behavior of lung cancer and it could be a potential biomarker for diagnosis and prognosis of the disease. Keywords: Lung cancer, Matrix metalloproteinase 2, MMP2, Diagnosis, Prognosis
Introduction Lung cancer is divided into non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC) in clinical practice [1]. Most lung cancers are NSCLC, which is significantly different from SCLC in pathology, pathogenesis and prognosis [2]. It has been confirmed that many molecular signals are involved in the occurrence and development of lung cancer, which are often related to the abnormal expressions of some proteins. The research on proteomics and genomics has brought a new perspective * Correspondence: [email protected] † Liping Han and Baowei Sheng contributed equally to this work. 1 Department of Respiration, Jining NO.1 People’s Hospital, Jining, China 2 Affiliated Jining NO.1 People’s Hospital of Jining Medical University, Jining Medical University, Jining, China Full list of author information is available at the end of the article
for the prevention and treatment of lung cancer [3]. Extracellular matrix (ECM) is a complex network structure composed of macromolecular substances secreted by cells into the extracellular matrix. ECM supports and connects tissue structure, and it participates in regulating tissue generation, cell metabolism and signal transduction [4]. Matrix metalloproteinases (MMPs) are enzymes that rely on metal ions such as zinc and calcium to perform their biological functions. It can degrade various protein components in ECM, destroy the histological barrier of tumor cell invasion, and play a key role in tumor invasion
Data Loading...
