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Journal ArticleDOI

Seven genes for the prognostic prediction in patients with glioma.

TLDR
A novel seven-gene signature in patients with glioma is identified, which could be used as a predictor for the prognosis of patients withglioma in the future.
Abstract
Glioma is a common malignant tumor of the central nervous system, which is characterized by a low cure rate, high morbidity, and high recurrence rate. Consequently, it is imperative to explore some indicators for prognostic prediction in glioma. We obtained glioma data from The Cancer Genome Atlas (TCGA). Differentially expressed genes (DEGs) were obtained by R software from TCGA data sets. Through Cox regression analysis, risk scores were obtained to assess the weighted gene-expression levels, which could predict the prognosis of patients with glioma. The validity and the prognostic value of this model in glioma were confirmed by the manifestation of receiver-operating characteristic (ROC) curves, area under the curve (AUC), and 5-year overall survival (OS). In total, 920 DEGs of transcriptome genes in glioma were extracted from the TCGA database. We identified a novel seven-gene signature associated with glioma. Among them, AL118505.1 and SMOC1 were positively related to the 5-year OS of patients with glioma, showing a better prognosis for glioma; however, RAB42, SHOX2, IGFBP2, HIST1H3G, and IGF2BP3 were negatively related to 5-year OS, displaying a worse prognosis. In addition, according to risk scores, AL118505.1 was also a protective factor, while others were risk factors. Furthermore, the expression levels of SHOX2, IGFBP2, and IGF2BP3 were significantly positively correlated with glioma grades. Receiver-operating characteristic (ROC) curve assessed the accuracy and sensitivity of the gene signature. Each of the seven genes for patients with the distribution of the risk score was presented in the heat map. We identified a novel seven-gene signature in patients with glioma, which could be used as a predictor for the prognosis of patients with glioma in the future.

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Citations
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Journal ArticleDOI

The molecular feature of macrophages in tumor immune microenvironment of glioma patients.

TL;DR: Wang et al. as discussed by the authors used weighted gene co-expression network analysis to identify meaningful macrophage-related gene genes for clustering and applied Pamr, SVM, and neural network for validating clustering results.
Journal ArticleDOI

Identification of Crucial Genes Associated With Immune Cell Infiltration in Hepatocellular Carcinoma by Weighted Gene Co-expression Network Analysis

TL;DR: The results of multivariate Cox regression analysis indicated that the abovementioned hub genes are all independent predictors of HCC and are likely to be a therapeutic target for HCC.
Journal ArticleDOI

Identification and validation of a three-gene signature as a candidate prognostic biomarker for lower grade glioma.

TL;DR: This study identified a three-gene model that showed satisfactory performance in predicting the 1, 3- and 5-year survival of LGG patients compared to other models and may be a promising independent biomarker of L GG.
Journal ArticleDOI

Identification of IGF2BP3 as an Adverse Prognostic Biomarker of Gliomas.

TL;DR: Wang et al. as mentioned in this paper determined the prognostic value of the m6A RNA methylation regulator in gliomas and investigated the underlying mechanisms of the aberrant expression of m6a-related genes.
References
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Journal ArticleDOI

The 2007 WHO Classification of Tumours of the Central Nervous System

TL;DR: The fourth edition of the World Health Organization (WHO) classification of tumours of the central nervous system, published in 2007, lists several new entities, including angiocentric glioma, papillary glioneuronal tumour, rosette-forming glioneurs tumour of the fourth ventricle, Papillary tumourof the pineal region, pituicytoma and spindle cell oncocytoma of the adenohypophysis.
Journal ArticleDOI

The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary.

TL;DR: The 2016 World Health Organization Classification of Tumors of the Central Nervous System is both a conceptual and practical advance over its 2007 predecessor and is hoped that it will facilitate clinical, experimental and epidemiological studies that will lead to improvements in the lives of patients with brain tumors.
Journal ArticleDOI

The short stature homeobox gene SHOX is involved in skeletal abnormalities in Turner syndrome

TL;DR: The SHOX expression pattern in the limb and first and second pharyngeal arches not only explains SHOX -related short stature phenotypes, but also for the first time provides evidence for the involvement of this gene in the development of additional Turner stigmata.
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