2018
DOI: 10.18632/aging.101415
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Abstract: INTRODUCTION Glioblastoma multiforme (GBM) is one of the most fatal brain tumors with a mean survival rate of 35.7% at one Year, 4.7% at five years, and median overall survival (OS) of 14.6 months [1, 2]. To better understand the impacts of genetic composition of tumor on clinical prognosis, comprehensive genome-wide gene expression collections such as The Cancer Genome Atlas (TCGA) have been established to categorize and discover genomic abnormalities in large cohorts across the world [3, 4]. In the TCGA data… Show more

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Cited by 268 publications
(40 citation statements)
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References 45 publications
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“…In a recent study, TNF‐α super‐family proteins and TNF‐α‐induced proteins 2 and 6 (TNFAIP2 and TNFAIP6) has been enlisted in tumor microenvironment‐related genes with prognostic significance (Jia et al, ), which reinforce the importance of TNF‐α‐mediated signaling. Also, it was shown that ERK pathway has regulatory role on NF‐κB in T98G cells (Funakoshi et al, ).…”
Section: Discussionmentioning
confidence: 95%
“…In a recent study, TNF‐α super‐family proteins and TNF‐α‐induced proteins 2 and 6 (TNFAIP2 and TNFAIP6) has been enlisted in tumor microenvironment‐related genes with prognostic significance (Jia et al, ), which reinforce the importance of TNF‐α‐mediated signaling. Also, it was shown that ERK pathway has regulatory role on NF‐κB in T98G cells (Funakoshi et al, ).…”
Section: Discussionmentioning
confidence: 95%
“…Among those nonmalignant cells, stromal cells and immune cells play an important role in the whole process of tumors from happening to transferring and have definite clinical significance for diagnosis and prognosis of tumors. In the previous studies, an algorithm called ESTIMATE designed by Yoshihara et al was used to determine the expression of certain genes of stromal cells and immune cells and calculate immune and stromal scores to infer the fraction of stromal and immune cells in tumor samples and predict the infiltration of nontumor cells [10,11]. e previous studies have shown that the ESTIMATE algorithm based on big data is demonstrated effective in numerous cancer tissues, such as prostate cancer [12], breast cancer [13], colon cancer [14], and glioblastoma [11].…”
Section: Introductionmentioning
confidence: 99%
“…In the tumor microenvironment, immune and stromal cells are the two main types of non-tumor components and are associated with the prognosis of tumors (12,13). Gene expression levels data from tumor databases can be analyzed using algorithms to predict cellular components in tumor tissues (14,15). For example, Yoshihara et al designed an algorithm called ESTIMATE (16), which uses expression data to estimate stromal and immune cells in malignant tumor tissue.…”
Section: Introductionmentioning
confidence: 99%