<i>PABPC1</i> Relevant Bioinformatic Profiling and Prognostic Value in Gliomas

<b>Aim:</b> We aimed at investigating molecular features and potential clinical value of <i>PABPC1</i> in gliomas. <b>Materials &amp; methods:</b> 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. <b>Results:</b><i>PABPC1</i> was downregulated in gliomas with higher malignance and <i>PABPC1</i> may contribute as potential predictor of proneural subtype in gliomas. Higher expression of <i>PABPC1</i> was significantly related to better prognosis and related to biological process of translation. <b>Conclusion:</b> Our finding improves the understanding of <i>PABPC1</i> as a novel biomarker with potential therapeutic connotations.