Low-grade gliomas LGGsare invasive brain tumors that occur mostly among young adults. Previous studies have shown that LGGs are characterized by IDH1/2 mutations; however, in some cases, cancer patients suffer from the low mutation rate of such genes. In this study, HspB8 is proposed as a new biomarker. On the basis of F-Census, HspB8 was correlated with gliomas; however, its role isyet to be determined. This study aims to identify the expression of HspB8 and its corresponding miRNA among LGG patients and assess its potential as a biomarker. The expression data are derived from The Cancer Genome Atlas (TCGA) project and aredownloaded using TCGA Assembler. Then, HspB8–miRNA expression correlations and meta-analyses are conducted using MATLAB. Results are validated via transcriptome analysisincluding miRNA-target side prediction and molecular docking simulation by RNAhybrid and PatchDockrespectively. Results show the strongest negative correlation peaks at −0.417 (p value <0.05) found between HspB8 and mir-92a-1. Further transcriptomic validation also supports the interaction between the two RNA moleculesdenoted by negative free energy. However, their roles could not be validated due to the lack of research. Therefore, the results of this study might become a basis for further studies.