Research Paper Volume 13, Issue 19 pp 22963—22984

RUNX2 and LAMC2: promising pancreatic cancer biomarkers identified by an integrative data mining of pancreatic adenocarcinoma tissues

Identification of DEGs, DEMs and key genes. (A) The volcano plot of mRNA GEO datasets GSE62165, GSE15471 and GSE32676 respectively; (B) Venn diagram of up-regulated DEGs and down-regulated DEGs set from GSE62165, GSE15471 and GSE32676 datasets; (C) The volcano plot of miRNA GEO datasets GSE24279 and GSE32678 respectively; (D) Venn diagram of up-regulated DEMs and down-regulated DEMs set from GSE24279 and GSE32678 datasets; (E) The target genes, tDEMTGs, of 66 consistent DEMs (tDEMs) were predicted by miRTarBase, miRWalk and Diana Tools databases. (F) Venn diagram of tDEMTGs and tDEGs to get key genes.

Figure 1. Identification of DEGs, DEMs and key genes. (A) The volcano plot of mRNA GEO datasets GSE62165, GSE15471 and GSE32676 respectively; (B) Venn diagram of up-regulated DEGs and down-regulated DEGs set from GSE62165, GSE15471 and GSE32676 datasets; (C) The volcano plot of miRNA GEO datasets GSE24279 and GSE32678 respectively; (D) Venn diagram of up-regulated DEMs and down-regulated DEMs set from GSE24279 and GSE32678 datasets; (E) The target genes, tDEMTGs, of 66 consistent DEMs (tDEMs) were predicted by miRTarBase, miRWalk and Diana Tools databases. (F) Venn diagram of tDEMTGs and tDEGs to get key genes.