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Table 5 Review of the literature data concerning microRNA analyses in glioneuronal tumors

From: Expression-based decision tree model reveals distinct microRNA expression pattern in pediatric neuronal and mixed neuronal-glial tumors

No of samples Tumor type Age category Summary Ref.
41 mixed LGG C/A 61 differently expressed miRNAs on profiling study (n = 41); the same samples (n = 19) used for validation of miR-129-2-3p, miR-219-5p, miR-338-3p, miR-487b, miR-885-5p, miR-323a-3p, miR-4488 and miR-1246; expression of miR-487b from cluster 14q32.31 variably underexpressed in pediatric glioma lines [24]
34 GG C/A evaluation of inflammation-related miR-21, miR-146, miR-155; miR-146 contributed to epileptogenic network [25]
29 GG C/A 66 miRNAs differently expressed on profiling study (n = 9); validation (n = 20) of miR-217 showed relationship between miR-217 and ERK1/2 [22]
5 DNET C 120 differently expressed miRNAs on profiling study (n = 5); the same samples used for validation aof down-regulated miR-3138 and overexpressed miR-1909 [23]
43 PA C/YA 31 differently expressed miRNAs on profiling study (n = 43); validation of miR-21, miR-124 and mir-129 (n = 9) [12]
99 mixed LGG C/A miR-519d and miR-4758 upregulated in GGs compared to control tissue, DNET and other gliomas [50]
  1. A Adult, C Children, DNET Dysembryoplastic neuroepithelial tumor, GG Ganglioglioma, LGG Low grade glioma, PA Pilocytic astrocytoma, YA Young adult