Objective To explore the expression characteristics of laminin subunit alpha-2 （LAMA2） in gliomas and the biological processes it may be involved in， so as to tap its clinical significance. Methods Clinical information and RNAseq data of glioma patients in the Chinese Glioma Genome Atlas （CGGA） RNAseq database were extracted. Cases with missing data information were excluded and then standardized， and clinical and sequencing data were matched to extract the expression characteristics of LAMA2. The glioma data of validation group was selected from The Cancer Genome Atlas （TCGA） mRNA sequencing database， the REMBRANDT microarry database， and the GSE16011 microarry database. Kaplan-Meier survival curves， Cox univariate and multivariate regression analyses were used to evaluate the value of LAMA2 in the overall survival and prognosis of glioma patients. Gene enrichment analysis was performed in two datasets， CGGA and TCGA， and intersections were taken to obtain the functions of LAMA2-related genes. Results Between different grades of gliomas in CGGA325， TCGA and REMBRANDT microarry databases， the expression of LAMA2 was the lowest in grade Ⅱ gliomas and the highest in grade Ⅳ gliomas，and the differences were all statistically significant （all P ＜ 0.05）. In the subtype analysis data of brain gliomas， the expression level of LAMA2 in highly malignant classical and mesenchymal glioma groups was higher than that of less malignant preneuronal and neuronal types， and the differences were all statistically significant （all P ＜ 0.01）. In CGGA325， CGGA693， GSE16011 and TCGA databases， the expression level of LAMA2 in IDH wild-type gliomas was higher than that in IDH mutant gliomas， and the difference was statistically significant （P ＜ 0.01）. Kaplan-Meier survival analysis in both full-grade gliomas and low-grade gliomas in the CGGA325 database showed that the overall survival of patients in high-expression group of the LAMA2 gene was worse than that of low-expression group， and the difference was statistically significant （all P ＜ 0.05）. Multivariate Cox regression analysis showed that age， pathological grade， 1p19q co-deletion， and LAMA2 expression were independent influencing factors of survival in patients with primary glioma， and the differences were all statistically significant （all P ＜ 0.05）. DEG enrichment analysis showed that LAMA2 was associated with biological processes such as extracellular matrix organization， external encapsulated structural organization， extracellular structural organization， collagen fiber organization， vascular development， vascular morphogenesis， and angiogenesis in glioma cells. Conclusions The expression of LAMA2 is positively correlated with the malignancy degree of gliomas， which can be used as a prognostic indicator and potential therapeutic target for patients with primary gliomas.