Abstract

BackgroundLow-gradegliomas (LGGs) as one of the mostcommonbrain tumors and highlyinvadeinto adjacent normal brain tissue, which can result in low rate of radical excision and poor prognosis. Immunotherapy as a potential treatment method has garnered increasing attention in recent years. Wesystematically screenedthe prognosticgenes based on 56,530 genes in CGGA database. Finally, ABRACL was selected as the target gene. ABRACL has not been investigated in gliomas. In our study, we aimed to explore the prognostic value of ABRACL. MethodsTo analyse the prognostic value of ABRACL, gene expression profiles and clinical information of LGGs patients were collated from theTCGAandCGGAdatabases. Functional enrichment analysis was performed by using Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG). CIBERSORTalgorithm was used to calculate the associations between ABRACL and immune cells infiltration. Then, we investigated the associations between ABRACL and immunomodulators. Four immunomodulators (TNFRSF14, TNFSF13, ULBP1, PDCD1LG2) were selected to establish theprognosticmodel which could be used to predict outcomes of LGGs patients. ConclusionLGGs patients with high expression of ABRACL showed worse prognosis. ABRACL was an independent prognostic factor of LGGs. ABRACL played an important role in tumor immune microenvironment and promoted tumorigenesis and proliferation of LGGs by regulating the aggregation of macrophages M2. Functional enrichment analysis suggested that ABRACL was associated with various immune functions. Taken together, the results of this study showed that ABRACL was apotentialnovel biomarker of LGGs.

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