Xian Lin1, Bing-Wen Lin2, Xiao-Li Chen2, Bei-Lei Zhang2, Xiong-Jian Xiao2, Jing-Shi Shi2, Jian-Dong Lin2, Xiao Chen3. 1. Cancer Center, Traditional Chinese Medicine-Integrated Hospital of Southern Medical University, Guangzhou 510315, Guangdong, PR China. 2. Department of Critical Care Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350001, Fujian, PR China. 3. Department of Critical Care Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350001, Fujian, PR China. Electronic address: chenxiao350001@163.com.
Abstract
AIM: This study intented to clarify the intracellular effect of PAI-1 on Non-small cell lung cancer (NSCLC) metastasis and the precise mechanism involved. METHODS: The metastatic properties of NSCLC cells were determined by transwell assays and wound-healing assay in vitro. The mRNA and protein expressions of genes were analyzed by Real-time qPCR and western blot, respectively. Pulmonary metastasis model of NSCLC cells was established to evaluate the pro-metastasis effect of PAI-1 and anti-metastatic effect of miR-34a in vivo. The gene targets of miR-34a were confirmed by luciferase reporter assays. Chromatin immunoprecipitation assay was employed to detect the transcriptional regulation of miR-34a. Co-immunoprecipitation assay was performed to observe the interaction of proteins. RESULTS: PAI-1, which was elevated in NSCLC patients with recurrence and metastasis, augmented NSCLC metastasis and was negatively related to the prognosis of NSCLC. miR-34a, which was decreased in NSCLC patients with metastasis, attenuated NSCLC metastasis and was positively correlated with the prognosis of NSCLC. Moreover, PAI-1 was identified as the target gene of miR-34a and activated the Stat3 signaling pathway to promote epithelial-mesenchymal transition (EMT) in NSCLC cells. PAI-1 interacted with PIAS3 to regulate Stat3-dependent gene expression and miR-34a was transcriptionally suppressed by Stat3 to form a positive regulatory loop through Stat3 signaling. CONCLUSION: Our findings suggest that PAI-1 and miR-34a, which can be clinically utilized as biomarkers for the clinical prognosis or diagnosis of NSCLC, are potential targets for the treatment of NSCLC.
AIM: This study intented to clarify the intracellular effect of PAI-1 on Non-small cell lung cancer (NSCLC) metastasis and the precise mechanism involved. METHODS: The metastatic properties of NSCLC cells were determined by transwell assays and wound-healing assay in vitro. The mRNA and protein expressions of genes were analyzed by Real-time qPCR and western blot, respectively. Pulmonary metastasis model of NSCLC cells was established to evaluate the pro-metastasis effect of PAI-1 and anti-metastatic effect of miR-34a in vivo. The gene targets of miR-34a were confirmed by luciferase reporter assays. Chromatin immunoprecipitation assay was employed to detect the transcriptional regulation of miR-34a. Co-immunoprecipitation assay was performed to observe the interaction of proteins. RESULTS:PAI-1, which was elevated in NSCLCpatients with recurrence and metastasis, augmented NSCLC metastasis and was negatively related to the prognosis of NSCLC. miR-34a, which was decreased in NSCLCpatients with metastasis, attenuated NSCLC metastasis and was positively correlated with the prognosis of NSCLC. Moreover, PAI-1 was identified as the target gene of miR-34a and activated the Stat3 signaling pathway to promote epithelial-mesenchymal transition (EMT) in NSCLC cells. PAI-1 interacted with PIAS3 to regulate Stat3-dependent gene expression and miR-34a was transcriptionally suppressed by Stat3 to form a positive regulatory loop through Stat3 signaling. CONCLUSION: Our findings suggest that PAI-1 and miR-34a, which can be clinically utilized as biomarkers for the clinical prognosis or diagnosis of NSCLC, are potential targets for the treatment of NSCLC.
Authors: Pierre-Antoine Bissey; Mona Teng; Jacqueline H Law; Wei Shi; Jeff P Bruce; Valentin Petit; Sai W Tsao; Kenneth W Yip; Fei-Fei Liu Journal: BMC Cancer Date: 2020-06-26 Impact factor: 4.430
Authors: Susan Heavey; Paul Dowling; Gillian Moore; Martin P Barr; Niamh Kelly; Stephen G Maher; Sinead Cuffe; Stephen P Finn; Kenneth J O'Byrne; Kathy Gately Journal: Sci Rep Date: 2018-01-26 Impact factor: 4.379