Background: Previous investigations have illustrated that
lysyl oxidase family
enzymes (LOXs) are contributing factors for
tumor progression and remodeling immunomicroenvironment. However, it is scarce regarding comprehensive analysis of LOXs in the predictions of prognosis,
chemotherapy and
immunotherapy in
glioma, the highly invasive
brain tumor. Our present work aimed to explore the prognostic value, chemotherapeutic drug sensitivity and
immunotherapy according to distinct LOXs expressions in
glioma through bioinformatics analysis and experimental verification. Methods: We collected gene expression data and clinical characteristics from the public databases including Chinese
Glioma Genome Atlas (CGGA)-325, CGGA-693, the
Cancer Genome Atlas (TCGA), IMvigor210 and Van Allen 2015 cohorts. The correlations between the clinicopathological factors and differential LOXs expressions were analyzed. The ROC curve and Kaplan-Meier analysis were conducted to evaluate the prediction ability of prognosis. Chemotherapeutic drug sensitivity via distinct LOXs expression levels was predicted using the pRRophetic package. Immune score, immune cell infiltration and immune checkpoint expression levels were also analyzed through diverse algorithms in R software. Finally,
mRNA and
protein expressions of LOXs were validated in
glioma cells (T98G and A172) by real-time quantitative PCR and Western blot, respectively. Results: Our results demonstrated that high levels of LOXs expressions were positively associated with
glioma grades, older age and MGMT unmethylated status while elevations of LOXs were negatively correlated with IDH mutation or 1p/19q co-deletion. Furthermore, the
glioma patients with low levels of LOXs also exhibited better prognosis. Also, differential LOXs expressions were associated with at least 12 chemotherapeutic drug sensitivity. Besides, it was also found that
glioma patients with high LOXs expressions showed higher enrichment scores for immune cell infiltration and increased levels of immune checkpoints, suggesting the critical role of distinct LOXs expression levels for
glioma immunotherapy. The predictive roles of LOXs expression in
tumor immunotherapy were also validated in two
immunotherapy cohorts including IMvigor 210 and Van Allen 2015. Experimental results revealed that expressions of LOX, LOXL1, LOXL2, and LOXL3 were higher in
glioma cell lines at
mRNA and
protein levels. Conclusion: Our findings altogether indicate that LOXs have potent predictive value for prognosis,
chemotherapy and
immunotherapy in
glioma patients.