Background: Low-grade glioma is grade I-II glioma. Immunotherapy is a promising way of tumor killing. Research\non immune molecular mechanisms in low-grade gliomas and discovery of new immune checkpoints for low-grade\ngliomas are of great importance.\nMethods: Gene sequencing data and clinical data of low-grade glioma were downloaded from TCGA database.\nPrognosis related lncRNAs were identified by Cox regression and their possible functions were found by gene\nenrichment set analysis.\nResults: A total of 529 low-grade glioma samples and 5 non-tumor brain tissue samples are obtained from the\nTCGA database. Two hundred forty-seven immune-associated lncRNAs are screened. Cox regression showed that 16\nimmune-related lncRNAs are associated with low-grade glioma prognosis, and 7 lncRNAs are independent risk\nfactors. Gene set enrichment analysis suggests that these molecules are enriched in extracellular region, sequencespecific\nDNA binding, neuropeptide signaling pathway, transcriptional misregulation in cancer, cytokine-cytokine\nreceptor interaction, protein digestion and absorption, chemokine signaling pathway, etc.\nConclusion: The identification of immune-related lncRNA may provide new targets for the research of the\nmolecular mechanisms and treatment of low-grade glioma.
Loading....