Shuai Wang1, Baohua Jiao1, Shaomei Geng1, Jian Song1, Zhaohui Liang1, Shengkui Lu2. 1. Department of Neurosurgery, Second Hospital of Hebei Medical University, No. 215, Hepingxi Road, Shijiazhuang City, Hebei Province 050000 China. 2. Department of Neurosurgery, Second Hospital of Hebei Medical University, No. 215, Hepingxi Road, Shijiazhuang City, Hebei Province 050000 China. Electronic address: lskhbey@163.com.
Abstract
PURPOSE: To clarify the clinical significance of microRNA-31 (miR-31) and radixin (RDX) in human glioma. METHODS: Quantitative real-time polymerase chain reaction (qRT-PCR) analysis was used to characterize the expression patterns of miR-31 and RDX mRNA in 108 glioma and 20 normal brain tissues. The associations of miR-31 and RDX mRNA expressions with clinicopathologic factors and prognosis of glioma patients were also statistically analyzed. RESULTS: The expression levels of miR-31 in glioma tissues were significantly lower than those in normal brain tissues (P<0.001), while RDX mRNA was significantly overexpressed in glioma tissues compared with normal brain tissues (P<0.001). There was a negative correlation between miR-31 and RDX mRNA expression in glioma tissues (r=-0.69, P=0.01). Additionally, concomitant miR-31 downregulation and RDX upregulation (miR-31-low/RDX-high) was significantly associated with advanced pathological grade (P=0.001) and low Karnofsky performance score (P=0.01). Moreover, Kaplan-Meier survival and Cox regression analyses showed that the glioma patients with miR-31-low/RDX-high expression had poorest overall survival (P<0.001) and conjoined expression of miR-31-low/RDX-high was an independent prognostic indicator of glioma (P=0.01). Furthermore, subgroup analyses showed that miR-31-low/RDX-high expression was significantly associated with poor overall survival in glioma patients with high pathological grades (for grade III-IV: P<0.001). CONCLUSIONS: Our findings have implications concerning the importance of concomitant miR-31 downregulation and RDX upregulation in tumor progression and poor prognosis of patients with gliomas. A combined detection of miR-31/RDX expression may benefit us in predicting clinical outcomes of glioma patients with high pathological grades.
PURPOSE: To clarify the clinical significance of microRNA-31 (miR-31) and radixin (RDX) in humanglioma. METHODS: Quantitative real-time polymerase chain reaction (qRT-PCR) analysis was used to characterize the expression patterns of miR-31 and RDX mRNA in 108 glioma and 20 normal brain tissues. The associations of miR-31 and RDX mRNA expressions with clinicopathologic factors and prognosis of gliomapatients were also statistically analyzed. RESULTS: The expression levels of miR-31 in glioma tissues were significantly lower than those in normal brain tissues (P<0.001), while RDX mRNA was significantly overexpressed in glioma tissues compared with normal brain tissues (P<0.001). There was a negative correlation between miR-31 and RDX mRNA expression in glioma tissues (r=-0.69, P=0.01). Additionally, concomitant miR-31 downregulation and RDX upregulation (miR-31-low/RDX-high) was significantly associated with advanced pathological grade (P=0.001) and low Karnofsky performance score (P=0.01). Moreover, Kaplan-Meier survival and Cox regression analyses showed that the gliomapatients with miR-31-low/RDX-high expression had poorest overall survival (P<0.001) and conjoined expression of miR-31-low/RDX-high was an independent prognostic indicator of glioma (P=0.01). Furthermore, subgroup analyses showed that miR-31-low/RDX-high expression was significantly associated with poor overall survival in gliomapatients with high pathological grades (for grade III-IV: P<0.001). CONCLUSIONS: Our findings have implications concerning the importance of concomitant miR-31 downregulation and RDX upregulation in tumor progression and poor prognosis of patients with gliomas. A combined detection of miR-31/RDX expression may benefit us in predicting clinical outcomes of gliomapatients with high pathological grades.
Authors: Rajani Rajbhandari; Braden C McFarland; Ashish Patel; Magda Gerigk; G Kenneth Gray; Samuel C Fehling; Markus Bredel; Nicolas F Berbari; Hyunsoo Kim; Margaret P Marks; Gordon P Meares; Tanvi Sinha; Jeffrey Chuang; Etty N Benveniste; Susan E Nozell Journal: Oncotarget Date: 2015-07-10
Authors: Sameer A Dhayat; Wolf Arif Mardin; Jochen Seggewiß; Anda Jana Ströse; Christiane Matuszcak; Richard Hummel; Norbert Senninger; Sören Torge Mees; Jörg Haier Journal: PLoS One Date: 2015-11-25 Impact factor: 3.240