Literature DB >> 31797689

PABPC1 relevant bioinformatic profiling and prognostic value in gliomas.

Qiangwei Wang1, Zhiliang Wang1, Zhaoshi Bao2, Chuanbao Zhang2, Zheng Wang2, Tao Jiang1,2,3,4.   

Abstract

Aim: We aimed at investigating molecular features and potential clinical value of PABPC1 in gliomas. Materials & methods: We assembled totally 1000 glioma samples with mRNA expression data from Chinese Glioma Genome Atlas and The Cancer Genome Atlas. We utilized R language as the main analysis tool. Gene Ontology was performed for functional analysis.
Results: PABPC1 was downregulated in gliomas with higher malignance and PABPC1 may contribute as potential predictor of proneural subtype in gliomas. Higher expression of PABPC1 was significantly related to better prognosis and related to biological process of translation.
Conclusion: Our finding improves the understanding of PABPC1 as a novel biomarker with potential therapeutic connotations.

Entities:  

Keywords:  PABPC1; gliomas; mRNA; prognosis; translation

Mesh:

Substances:

Year:  2019        PMID: 31797689     DOI: 10.2217/fon-2019-0268

Source DB:  PubMed          Journal:  Future Oncol        ISSN: 1479-6694            Impact factor:   3.404


  8 in total

1.  Tumor microenvironment is associated with clinical and genetic properties of diffuse gliomas and predicts overall survival.

Authors:  Qiang-Wei Wang; Zhao-Shi Bao; Tao Jiang; Yong-Jian Zhu
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6.  MET overexpression contributes to STAT4-PD-L1 signaling activation associated with tumor-associated, macrophages-mediated immunosuppression in primary glioblastomas.

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7.  PABPC1-induced stabilization of IFI27 mRNA promotes angiogenesis and malignant progression in esophageal squamous cell carcinoma through exosomal miRNA-21-5p.

Authors:  Ying Zhang; Chuangzhen Chen; Zhaoyong Liu; Huancheng Guo; Weiqing Lu; Wang Hu; Zhixiong Lin
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8.  Large-Scale Transcriptome Analysis Identified a Novel Cancer Driver Genes Signature for Predicting the Prognostic of Patients With Hepatocellular Carcinoma.

Authors:  Gao Li; Xiaowei Du; Xiaoxiong Wu; Shen Wu; Yufei Zhang; Jing Xu; Hao Wang; Tingsong Chen
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  8 in total

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