Your browser doesn't support javascript.
loading
Overexpression of Paxillin Correlates with Tumor Progression and Predicts Poor Survival in Glioblastoma.
Sun, Li-Hua; Yang, Fu-Qiang; Zhang, Chuan-Bao; Wu, Yi-Ping; Liang, Jing-Shan; Jin, Shuai; Wang, Zheng; Wang, Hong-Jun; Bao, Zhao-Shi; Yang, Zheng-Xiang; Jiang, Tao.
Afiliação
  • Sun LH; Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
  • Yang FQ; Department of Neurosurgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
  • Zhang CB; Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
  • Wu YP; Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
  • Liang JS; Department of Neurosurgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
  • Jin S; Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
  • Wang Z; Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
  • Wang HJ; Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
  • Bao ZS; Department of Neurosurgery, 2nd affiliated hospital of Harbin Medical University, Harbin, China.
  • Yang ZX; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Jiang T; Department of Neurosurgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
CNS Neurosci Ther ; 23(1): 69-75, 2017 Jan.
Article em En | MEDLINE | ID: mdl-27637748
ABSTRACT

AIMS:

To explore the prognostic and clinicopathological features of glioma with Paxillin (PXN) expression based on a large number of samples.

METHODS:

RNA sequencing data of 325 glioma samples from Chinese Glioma Genome Atlas (CGGA) database were obtained as discovery set. Three additional datasets were further obtained as validation sets. The protein expression pattern of PXN in glioma was measured by IHC. Kaplan-Meier survival and multivariate Cox analysis were used to estimate the survival distributions. Moreover, the functional annotation of PXN was also analyzed.

RESULTS:

In the discovery set, PXN overexpression was significantly associated with high-grade glioma as well as the higher mortality in survival analysis (log-rank test, P < 0.01). The results of the other validation datasets showed similar findings. PXN also served as an independent prognostic biomarker in glioblastoma patients. Functional assays showed that PXN contributed to glioma cell proliferation and invasion.

CONCLUSION:

PXN plays as an oncogene in glioma progression and suggests a new potential biotarget for therapy.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Glioblastoma / Paxilina Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: CNS Neurosci Ther Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Glioblastoma / Paxilina Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: CNS Neurosci Ther Ano de publicação: 2017 Tipo de documento: Article