Negative regulation of vascular endothelial growth factor production

associated omics data
GO:1904046Ontology (GO BP)GO biological process · ~19 member genes

Q-omics provides the Negative regulation of vascular endothelial growth factor production (GO:1904046) pathway profile, scoring each patient from the combined activity of its roughly 19 member genes. Pathway activity is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, the pathway is differentially active in 5, with the highest sampling consensus in BRCA. Additionally, pathway RNA activity shows 32,523 significant cross-omics associations, again with the highest sampling consensus in STAD. Together, these results highlight KIRP, BRCA, and STAD as cancer lineages where the pathway shows reproducible signals across outcome, tissue activity, and molecular association analyses.

Every result is evaluated using two consensus scores. Sampling consensus measures how consistently a finding is reproduced within a cancer lineage across different conditions. Lineage consensus measures how broadly the result is shared across cancer types, distinguishing pan-cancer signals from lineage-specific patterns. Pathway-against-pathway and pathway-against-mutation comparisons are not available for ontology entities.

Survival associations

This table summarizes Negative regulation of vascular endothelial growth factor production survival associations by molecular data type. RNA-level pathway activity shows survival associations in the most cancer types (18). The rightmost column indicates the cancer type with the highest sampling consensus for each layer.
Data typeSurvival analysisLineage consensusLineage of highest sampling consensus
GO function (RNA)Kaplan–Meier18KIRP (46)view →
GO function (Protein (mass-spec))Kaplan–Meier1CCRCC (4)view →
This table ranks reproducible pathway activity–survival associations across cancer types. High Negative regulation of vascular endothelial growth factor production activity shows favorable associations in UVM, COAD and UCEC, but unfavorable associations in KIRP, BLCA and HNSC. In the KIRP Kaplan–Meier curve the high-activity group declines faster, consistent with the unfavorable association (log-rank p = .001). KIRP ranks highest by sampling consensus for Negative regulation of vascular endothelial growth factor production.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRPDFSQuartileII,III,IV0.5810.901.00146view →
UVMDFSQuartileIII,IV0.9260.393.00244view →
COADDFSMedianAll0.8410.725<.00136view →
BLCAOSTertileAll0.5400.701.01030view →
HNSCOSQuartileAll0.3210.532.00912view →
UCECDFSQuartileAll0.9040.802.00710view →
Pink = unfavorable, green = favorable. all 18 lineages →

Tumor vs Normal activity

This table summarizes Negative regulation of vascular endothelial growth factor production tumor–normal activity differences by data type. RNA-level activity shows significant tumor–normal differences in 5 cancer types, while mass-spec protein activity shows differences in 1. The strongest signals are in BRCA for RNA and PDAC for protein.
Data typeActivity analysisLineage consensusLineage of highest sampling consensus
GO function (RNA)Box plot5BRCA (6)view →
GO function (Protein (mass-spec))Box plot1PDAC (4)view →
This table ranks reproducible tumor–normal activity differences for the pathway. A positive fold-change indicates higher activity in tumor tissue. The pathway shows consistently higher tumor activity across BRCA, KIRP, LUAD, THCA and COAD. In the BRCA box plot, tumor samples show higher pathway activity than matched normal samples (log2 FC = +0.105, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
BRCAFemaleAll+0.105<.0016view →
KIRPAllAll+0.100.0046view →
LUADMaleII,III,IV+0.236.0044view →
THCAMaleAll+0.120.0073view →
COADAllAll+0.076.0242view →
Pink = higher activity in tumor. all 5 lineages →

Cross-omics associations

This table shows molecular features associated with Negative regulation of vascular endothelial growth factor production pathway activity in patient tissues and cancer cell lines. In patient samples, pathway activity is most strongly linked to RNA and protein features, with the largest associated set in STAD.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA32,523STAD (16903)view →
Protein (mass-spec)2,938CCRCC (525)view →
Protein (mass-spec)
Protein (mass-spec)4,653GBM (2691)view →
RNA434PDAC (170)view →