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Comprehensive analysis to identify long non-coding RNA HCP5/MICA axis as a prognostic biomarker in glioblastoma  

2022-09-07

Abstract excerpt

<h4>Purpose: </h4> To explore the lncRNA-mRNA network based on the IDH1 mutation status and construct a prognostic model for GBM. Methods The data of expression, somatic mutation, methylation, immune microenvironment were obtained from TCGA database, CGGA database and GTEx database. The common differential expressed genes (DEGs) between IDH1 mutant GBM and IDH1 wildtype GBM were used to perform a series of bioinf...

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Literature Corpus work
d6d65eb1-8a2e-56c4-9174-3d0405b029f2
DOI
10.21203/rs.3.rs-1989629/v1
Open publication

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Comprehensive analysis to identify long non-coding RNA HCP5/MICA axis as a prognostic biomarker in glioblastomaDOI 10.21203/rs.3.rs-1989629/v1
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