[Retracted] Identification of Prognostic LncRNAs Subtypes Predicts Prognosis and Immune Microenvironment for Glioma

Figure 6

Comparison of PRLnc subtypes and existing immune molecular subtypes. (a) Heatmap was used to depicts of all significantly distinct immune infiltration levels by using CIBERSORT algorithms. (b–d) microenvironment score, StromalScore, and ImmuneScore, were then, examined in the two groups. (e) The correlations between PRLnc score and tumor-infiltrating immune cells were calculated. (f) The expression patterns of immune checkpoint genes in the two groups were then compared. (g) The TIDE algorithm was also utilized to determine whether PRlnc related subtypes might predict immunotherapeutic benefit.

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