Abstract
Background
Delta-like canonical notch ligand 4 (DLL4) is considered a potential prognostic gene
for renal cell carcinoma (RCC). We assessed the molecular mechanisms and novel biomarkers
associated with DLL4 during RCC development.
Methods
Four gene expression profiles were downloaded from the GEO database. Differentially
expressed genes (DEGs) were identified between RCC and normal renal samples, including
common DEGs (co-DEGs). Thereafter, RCC-associated gene exploration was performed and
a PPI network was constructed to identify the core genes. Survival analysis of core
genes in the high expression group (H group) and low expression group (L group) was
also performed. The key genes related to the core genes were investigated, and the
miRNA-target genes and TFs-target genes were analyzed. Finally, the expression levels
of VEGFA, FLT1, EGLN3, and DLL4 in RCC and paracancerous tissues were determined.
Results
A total of 11,867 DEGs and 622 co-DEGs were identified in this study, and 67 RCC-associated
genes that were mainly enriched in signal transduction and angiogenesis function were
further explored. VEGFA was identified as the core gene. Further, 30 DEGs and 9 DE-miRNAs were identified
between the H and L groups. VEGFA was positively correlated with 19 genes, including EGLN3, FLT1, and DLL4. A total of 18 miRNA-target interactions, including miR-134-5p-DLL4, were obtained.
VEGFA, FLT1, EGLN3, and DLL4 were significantly expressed in RCC tissues compared with paracancerous tissues.
Conclusions
DLL4 may contribute to the development of RCC by participating in signal transduction
and angiogenesis. VEGFA, FLT1, EGLN3, DLL4, and miR-134-5p may be novel biomarkers for RCC.
Key Indexing Terms
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Article info
Publication history
Published online: March 11, 2022
Identification
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© 2022 Southern Society for Clinical Investigation. Published by Elsevier Inc. All rights reserved.
