However, the expression levels of Neat1, Mir142hg, Pvt1, Mir17hg, SNHG12 and Meg3 showed opposite trends (Fig. 1E, Supplementary Fig. 2B, C), which may correlate with the distinct inflammatory profiles and immunophenotypes of the different glioma models analyzed. Here, MIR17HG is linked to glioma.