T Xu1, X Liu, L Han, H Shen, L Liu, Y Shu. 1. Department of Oncology, the First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, 210029, People's Republic of China.
Abstract
PURPOSE: Emerging evidences indicate that dysregulated microRNAs are implicated in cancer tumorigenesis and progression. MicroRNA-9 (miR-9) has various expression patterns in diverse human cancers. However, its clinical significance in human non-small cell lung cancer has not yet been elucidated. In the present study, we detected the expression of miR-9 in non-small cell lung cancer and adjacent noncancerous tissues and explored its relationships with clinicopathological characteristics and prognosis. METHODS: Expression levels of miR-9 in 116 pairs of non-small cell lung cancer and adjacent normal tissues were detected by real-time quantitative RT-PCR assay. To determine its prognostic value, overall survival (OS) and progression-free survival (PFS) were evaluated using the Kaplan-Meier method. Univariate and multivariate analysis were performed using the Cox proportional hazard analysis. RESULTS: MiR-9 expression in non-small cell lung cancer tissues was significantly higher than that in adjacent normal tissues (p = 0.001), and its up-regulation was significantly correlated to advanced tumor-node-metastasis (TNM) stage (p < 0.001), tumor size (p = 0.013), and lymph node metastasis (p = 0.001). Furthermore, Kaplan-Meier analysis demonstrated that high miR-9 expression clearly predicted poorer PFS (p < 0.001) and OS (p < 0.001). In the multivariate analysis, increased miR-9 expression was an independent prognostic factor for both PFS (p = 0.002) and OS (p = 0.013). CONCLUSIONS: MiR-9 was up-regulated in non-small cell lung cancer tissues and correlated with adverse clinical features and unfavorable survival, indicating that miR-9 might be involved in non-small lung cancer progression and could serve as a promising biomarker for further risk stratification in the treatment of this cancer.
PURPOSE: Emerging evidences indicate that dysregulated microRNAs are implicated in cancer tumorigenesis and progression. MicroRNA-9 (miR-9) has various expression patterns in diverse humancancers. However, its clinical significance in humannon-small cell lung cancer has not yet been elucidated. In the present study, we detected the expression of miR-9 in non-small cell lung cancer and adjacent noncancerous tissues and explored its relationships with clinicopathological characteristics and prognosis. METHODS: Expression levels of miR-9 in 116 pairs of non-small cell lung cancer and adjacent normal tissues were detected by real-time quantitative RT-PCR assay. To determine its prognostic value, overall survival (OS) and progression-free survival (PFS) were evaluated using the Kaplan-Meier method. Univariate and multivariate analysis were performed using the Cox proportional hazard analysis. RESULTS: MiR-9 expression in non-small cell lung cancer tissues was significantly higher than that in adjacent normal tissues (p = 0.001), and its up-regulation was significantly correlated to advanced tumor-node-metastasis (TNM) stage (p < 0.001), tumor size (p = 0.013), and lymph node metastasis (p = 0.001). Furthermore, Kaplan-Meier analysis demonstrated that high miR-9 expression clearly predicted poorer PFS (p < 0.001) and OS (p < 0.001). In the multivariate analysis, increased miR-9 expression was an independent prognostic factor for both PFS (p = 0.002) and OS (p = 0.013). CONCLUSIONS: MiR-9 was up-regulated in non-small cell lung cancer tissues and correlated with adverse clinical features and unfavorable survival, indicating that miR-9 might be involved in non-small lung cancer progression and could serve as a promising biomarker for further risk stratification in the treatment of this cancer.
Authors: Nozomu Yanaihara; Natasha Caplen; Elise Bowman; Masahiro Seike; Kensuke Kumamoto; Ming Yi; Robert M Stephens; Aikou Okamoto; Jun Yokota; Tadao Tanaka; George Adrian Calin; Chang-Gong Liu; Carlo M Croce; Curtis C Harris Journal: Cancer Cell Date: 2006-03 Impact factor: 31.743
Authors: Stefano Volinia; George A Calin; Chang-Gong Liu; Stefan Ambs; Amelia Cimmino; Fabio Petrocca; Rosa Visone; Marilena Iorio; Claudia Roldo; Manuela Ferracin; Robyn L Prueitt; Nozumu Yanaihara; Giovanni Lanza; Aldo Scarpa; Andrea Vecchione; Massimo Negrini; Curtis C Harris; Carlo M Croce Journal: Proc Natl Acad Sci U S A Date: 2006-02-03 Impact factor: 11.205