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Glioma is one of the most common brain tumor which account for about 50%-60% of all primary brain tumors. Glioma is histologically classified as malignant brain tumors, which were classified into I to IV grades by World Health Organization (WHO). Briefly, grade I and II astrocytoma and oligodendroglioma belong to low grade glioma, while III and IV astrocytoma and oligodendroglioma are high grade gliomas. Despite advances in treatment modalities, it is still an urgent challenge to identify sensitive early biomarkers for diagnosis and prognosis of glioma.

Long non-coding RNAs (lncRNAs) have been implicated in cancer biogenesis and prognosis, representing the leading edge of cancer research. However, we are still lack of knowledge of their function during glioma progression. Here, we analyzed lncRNA expression profile across 907 glioma patients in grade II, III and IV. Widespread dynamic expression of lncRNAs during glioma progression are revealed. In this resource, we collected the dynamic expression of lncRNAs during glioma progression from two projects: The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Altas (CGGA). The users can easily view the dynamic expression changes of lncRNAs of interest from the resulting boxplot. Our results and the web-based resource revealed the dynamic transcriptome transition during glioma progression, indicating that lncRNA signature could be a useful biomarker to predict risk and may improve upon our understanding of the molecular mechanisms underlying glioma progression.