Prognostic significance of serum miR-17-5p in lung cancer
- PDF / 324,049 Bytes
- 6 Pages / 595.276 x 790.866 pts Page_size
- 1 Downloads / 219 Views
ORIGINAL PAPER
Prognostic significance of serum miR-17-5p in lung cancer Qun Chen • Qing Si • Song Xiao • Qiang Xie • Jiangping Lin • Chenhui Wang • Lizhou Chen Qiaolin Chen • Lin Wang
•
Received: 29 July 2012 / Accepted: 7 August 2012 Ó Springer Science+Business Media New York 2012
Abstract miR-17-5p is abnormally expressed in various tumor types. The aim of this study was to investigate the expression level of miR-17-5p in serum of patients with lung cancer and to determine whether serum miR-17-5p expression is related to the prognosis of patients with lung cancer. RT-qPCR was used to examine expression of miRNA-17-5p in 20 pairs of lung cancer and adjacent normal tissues, and sera from 221 patients with lung cancer and 54 matched controls. The correlation of serum miR-175p with clinicopathological factors or prognosis of patients with lung cancer was analyzed. The expression level of miR-17-5p obviously increased in lung cancer tissues (P = 0.004). Furthermore, serum miR-17-5p expression also significantly increased in patients with lung cancer compared with healthy individuals (P = 0.03). The survival analysis showed that serum miR-17-5p expression was closely related to the survival of patients with lung cancer. Patients with high miR-17-5p expression had shorter survival times [hazard ratio (HR) = 1.767, 95 %CI 1.039-3.005, P = 0.035]. A lower expression level of serum miR-17-5p helps extend the survival of patients with lung cancer. Thus, miR-17-5p may be potential biomarker for prediction the prognosis in patients with lung cancer. Keywords miR-17-5p Lung cancer MicroRNA Prognosis Serum Survival miR-17-92
Q. Chen (&) Q. Si S. Xiao Q. Xie J. Lin C. Wang L. Chen Q. Chen L. Wang Department of Oncology, Fuzhou Pulmonary Hospital, Fujian Medical University, Fuzhou 350008, China e-mail: [email protected]
Introduction Lung cancer remains one of the major cancer diseases worldwide. Approximately 1.3 million patients with lung cancer die each year, making it the cancer with the highest death toll [1]. Most patients with lung cancer will progress and ultimately die of metastasis cancer. Recent study has shown that the average five-year survival rate of patients with lung cancer is only 17.1 % [2]. A variety of screening methods have been used to predict the prognosis of patients with lung cancer, but these methods, including imaging and cytology studies, failed to effectively improve patient survival [3, 4]. MicroRNAs are endogenous non-coding small RNA molecules that are extensively being studied at present. Their lengths range from 19 to 29 nucleotides. MicroRNAs are involved in regulating the various pathways in eukaryotes. Abnormal expression of microRNAs has been found in a variety of malignant cells, which is closely related to activation of oncogenes and inactivation of antioncogenes [5–7]. Rothschild et al. [8] found that increased miR-381 expression in lung cancer cells inhibited the expression of ID1 gene and significantly decreased cell migration and invasion. Low expr
Data Loading...
