Basic information

Full name
vascular endothelial growth factor A
Ensembl
ENSG00000112715.24
Summary
This gene is a member of the PDGF/VEGF growth factor family. It encodes a heparin-binding protein, which exists as a disulfide-linked homodimer. This growth factor induces proliferation and migration of vascular endothelial cells, and is essential for both physiological and pathological angiogenesis. Disruption of this gene in mice resulted in abnormal embryonic blood vessel formation. This gene is upregulated in many known tumors and its expression is correlated with tumor stage and progression. Elevated levels of this protein are found in patients with POEMS syndrome, also known as Crow-Fukase syndrome. Allelic variants of this gene have been associated with microvascular complications of diabetes 1 (MVCD1) and atherosclerosis. Alternatively spliced transcript variants encoding different isoforms have been described. There is also evidence for alternative translation initiation from upstream non-AUG (CUG) codons resulting in additional isoforms. A recent study showed that a C-terminally extended isoform is produced by use of an alternative in-frame translation termination codon via a stop codon readthrough mechanism, and that this isoform is antiangiogenic. Expression of some isoforms derived from the AUG start codon is regulated by a small upstream open reading frame, which is located within an internal ribosome entry site. The levels of VEGF are increased during infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), thus promoting inflammation by facilitating recruitment of inflammatory cells, and by increasing the level of angiopoietin II (Ang II), one of two products of the SARS-CoV-2 binding target, angiotensin-converting enzyme 2 (ACE2). In turn, Ang II facilitates the elevation of VEGF, thus forming a vicious cycle in the release of inflammatory cytokines. [provided by RefSeq, Jun 2020]
Annotation
Druggable target (Tier T1) Ligand

Protein product

  • ENST00000523873.5 Primary ENSP00000430479.1 (0 phosphosite)
  • ENST00000324450.10
  • ENST00000520948.5
  • ENST00000518689.5
  • ENST00000523950.5
  • ENST00000518824.5
  • ENST00000523125.5
  • ENST00000230480.10
  • ENST00000372077.8
  • ENST00000457104.6
  • ENST00000372055.8
  • ENST00000425836.6
  • ENST00000672860.2
  • ENST00000413642.7
  • ENST00000372067.7
  • ENST00000482630.6
  • ENST00000417285.6
  • ENST00000372064.8
Phosphosites on the primary protein product
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Tumor and normal comparison

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Signed p-values
Data type
Meta P
BRCA
CCRCC
COAD
GBM
HNSCC
LSCC
LUAD
OV
PDAC
UCEC
RNA3.1e-32-2.8e-27--1.1e-80.022.7e-4-9.0e-5-
protein9.2e-39-3.9e-25--0.0393.9e-103.8e-11-1.3e-4-

* P-values are from Wilcoxon rank sum test and can be clicked to show the box plots. Positive values mean higher abundance in tumor. BRCA and GBM do not have normal samples.

mRNA expression at gene level
BRCACCRCCCOADGBMHNSCCLSCCLUADOVPDACUCEC91011121314151617log2(RSEM+1)tumornormal
Protein expression
BRCACCRCCGBMHNSCCLSCCLUADOVPDACUCEC15161718192021222324252627log2(MS1 intensity)tumornormal

* Mild outlier: filled circle; Extreme outlier: empty circle.

Phenotype and mutation association

Manhattan plot summarizing associations of phenotypes and mutations across all cohorts and omics data types

BRCACCRCCCOADGBMHNSCCLSCCLUADOVPDACUCEC0510152025300-5-10-15-20-25-30Pan-cancer01020304050607080901001100-10-20-30-40-50-60-70-80-90-100-110proteinRNASCNVclinicalpathwaycell typegenomicmutation-log10 of P-value

* Data points of significant associations above and below the dotted lines can be hovered to show the phenotype.

Associations of the protein abundance of VEGFA with phenotypes and mutations

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Signed p-values
Phenotype
Meta P
BRCA
CCRCC
COAD
GBM
HNSCC
LSCC
LUAD
OV
PDAC
UCEC
PROGENy: Hypoxia8.5e-423.1e-40.02-2.2e-168.1e-55.3e-62.2e-162.8e-31.1e-34.1e-4
HALLMARK_GLYCOLYSIS3.2e-233.6e-30.69-7.9e-101.1e-36.1e-55.5e-70.0230.0010.013
HALLMARK_HYPOXIA6.2e-170.0460.23-2.2e-60.0384.6e-34.1e-53.9e-31.9e-30.031
PROGENy: VEGF3.4e-70.180.23-4.8e-50.390.0140.0160.620.430.093
HALLMARK_E2F_TARGETS4.2e-70.460.77-8.7e-30.0880.663.6e-80.860.336.5e-3
HALLMARK_MTORC1_SIGNALING4.9e-70.49-0.32-2.4e-60.2-0.912.7e-50.140.090.031
KINASE-PSP_CDK18.2e-70.016-0.26-0.220.062-0.862.2e-160.47-0.710.045
HALLMARK_G2M_CHECKPOINT3.7e-60.26-0.86-0.0130.096-0.998.6e-80.760.540.012
HALLMARK_MYC_TARGETS_V14.0e-60.440.052-3.1e-3-0.830.783.5e-40.0590.50.052
HALLMARK_MITOTIC_SPINDLE4.7e-60.77-0.8-8.1e-40.067-0.764.5e-70.910.240.012
Showing 1 to 10 of 256 rows

* P-values could be from test for Spearman correlation, Wilcoxon rank sum test, Jonckheere-Terpstra trend test or Cox regression depending on the data type. P-values for individual cohorts can be clicked to show the data plots. The matrix icons in each row can be clicked to show a heatmap summary of associations across all cohorts and omics. The rows in the table can be expanded to show results from other omics.

Cis-association

Associations between omics data of VEGFA

BRCA0.560.100.24proteinmRNASCNVmethylationCCRCC0.50-0.050.16-0.260.19-0.24proteinmRNASCNVmethylationCOAD0.49proteinmRNASCNVmethylationGBM0.830.09-0.010.04-0.00-0.04proteinmRNASCNVmethylationHNSCC0.81-0.220.35-0.120.34-0.53proteinmRNASCNVmethylationLSCC0.68-0.270.07-0.330.15-0.29proteinmRNASCNVmethylationLUAD0.54-0.060.19-0.010.28-0.14proteinmRNASCNVmethylationOV0.570.200.26proteinmRNASCNVmethylationPDAC0.53-0.070.07-0.020.19-0.04proteinmRNASCNVmethylationUCEC0.46-0.030.050.030.17-0.13proteinmRNASCNVmethylation

* The numbers are Spearman correlation coefficients and can be clicked to show the scatter plots. The color and size of the circles correlate with the coefficients.

Trans-association

Associations of the protein abundance of VEGFA and the protein abundance of other genes

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Signed p-values
Gene
Meta P
BRCA
CCRCC
COAD
GBM
HNSCC
LSCC
LUAD
OV
PDAC
UCEC
No matching records found

* P-values are from test for Spearman correlation. P-values for individual cohorts can be clicked to show the data plots. The matrix icons in each row can be clicked to show a heatmap summary of associations across all cohorts and omics. The rows in the table can be expanded to show results from other omics.

Gene set enrichment analysis

Submit genes and the common logarithm of the p-values of their association with to WebGestalt.