| Summary: | Although several biomarkers have been identified to predict the prognosis of lower-grade (Grade II/III) gliomas (LGGs), we still need to identify new markers to facilitate those well-known markers to obtain more accurate prognosis prediction in LGGs. Bioinformatics data from The Cancer Genome Atlas (TCGA), the Chinese Glioma Genome Atlas (CGGA), and the Cancer Cell Line Encyclopedia (CCLE) datasets were used as the research materials. In total, 34 genes associated with the HIF1A pathway were analyzed using the hierarchical method to search for the most compatible gene. The BICD cargo adaptor 1 (BICD1) gene (<i>BICD1</i>) was shown to be significantly correlated with The hypoxic inducible factor 1A (HIF1A) expression, the World Health Organization (WHO) grade, and <i>IDH1</i> mutation status. In addition, <i>BICD1</i> downregulation was significantly correlated with a higher Karnofsky performance score (KPS), <i>IDH1</i>/<i>TP53</i>/<i>ATRX</i> mutations, wild-type <i>EGFR,</i> and younger patient age in the enrolled LGG cohort. Moreover, <i>BICD1</i> expression was significantly upregulated in wild-type <i>IDH1</i> LGGs with <i>EGFR</i> mutations. Kaplan–Meier survival analysis revealed that <i>BICD1</i> downregulation predicts a favorable overall survival (OS) in LGG patients, especially in those with <i>IDH1</i> mutations. Intriguingly, we found a significant correlation between <i>BICD1</i> downregulation and a decreased level of <i>CD274</i>, <i>GSK3B</i>, <i>HGF</i>, or <i>STAT3</i> in LGGs. Our findings suggest that BICD1 downregulation could be a potential biomarker for a favorable prognosis of LGGs.
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