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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