PABPC1 relevant bioinformatic profiling and prognostic value in gliomas

Volume: 16, Issue: 1, Pages: 4279 - 4288
Published: Jan 1, 2020
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...
Paper Details
Title
PABPC1 relevant bioinformatic profiling and prognostic value in gliomas
Published Date
Jan 1, 2020
Volume
16
Issue
1
Pages
4279 - 4288
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