SAMSN1 Is Highly Expressed and Associated with a Poor Survival in Glioblastoma Multiforme

Yong Yan, Lei Zhang, Tao Xu, Jinxu Zhou, Rong Qin, Chao Chen, Yongxiang Zou, Da Fu, Guohan Hu, Juxiang Chen and Yicheng Lu

PLOS ONE, 2013, vol. 8, issue 11, 1-

Abstract: Objectives: To study the expression pattern and prognostic significance of SAMSN1 in glioma. Methods: Affymetrix and Arrystar gene microarray data in the setting of glioma was analyzed to preliminarily study the expression pattern of SAMSN1 in glioma tissues, and Hieratical clustering of gene microarray data was performed to filter out genes that have prognostic value in malignant glioma. Survival analysis by Kaplan-Meier estimates stratified by SAMSN1 expression was then made based on the data of more than 500 GBM cases provided by The Cancer Genome Atlas (TCGA) project. At last, we detected the expression of SAMSN1 in large numbers of glioma and normal brain tissue samples using Tissue Microarray (TMA). Survival analysis by Kaplan-Meier estimates in each grade of glioma was stratified by SAMSN1 expression. Multivariate survival analysis was made by Cox proportional hazards regression models in corresponding groups of glioma. Results: With the expression data of SAMSN1 and 68 other genes, high-grade glioma could be classified into two groups with clearly different prognoses. Gene and large sample tissue microarrays showed high expression of SAMSN1 in glioma particularly in GBM. Survival analysis based on the TCGA GBM data matrix and TMA multi-grade glioma dataset found that SAMSN1 expression was closely related to the prognosis of GBM, either PFS or OS (P

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0081905

DOI: 10.1371/journal.pone.0081905

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