Positive regulation of aspartic-type peptidase activity

associated omics data
GO:1905247Ontology (GO BP)GO biological process · ~8 member genes

Q-omics provides the Positive regulation of aspartic-type peptidase activity (GO:1905247) pathway profile, scoring each patient from the combined activity of its roughly 8 member genes. Pathway activity is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, the pathway is differentially active in 10, with the highest sampling consensus in COAD. Additionally, pathway RNA activity shows 36,046 significant cross-omics associations, again with the highest sampling consensus in KIRC. Together, these results highlight ACC, COAD, and KIRC 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 Positive regulation of aspartic-type peptidase activity survival associations by molecular data type. RNA-level pathway activity shows survival associations in the most cancer types (27). 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–Meier27ACC (125)view →
GO function (Protein (mass-spec))Kaplan–Meier3PDAC (15)view →
This table ranks reproducible pathway activity–survival associations across cancer types. High Positive regulation of aspartic-type peptidase activity activity shows favorable associations in STAD and LUAD, but unfavorable associations in ACC, KIRC, THCA and KIRP. In the ACC Kaplan–Meier curve the high-activity group declines faster, consistent with the unfavorable association (log-rank p < 0.001). ACC ranks highest by sampling consensus for Positive regulation of aspartic-type peptidase activity.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCDFSMedianAll0.3800.759<.001125view →
KIRCOSTertileAll0.5310.733.00140view →
THCAOSTertileIII,IV0.9441.000.00438view →
STADOSQuartileII,III,IV0.6900.382.00726view →
LUADDFSTertileII,III,IV0.4590.135.00426view →
KIRPOSMedianIII,IV0.1960.761.00525view →
Pink = unfavorable, green = favorable. all 27 lineages →

Tumor vs Normal activity

This table summarizes Positive regulation of aspartic-type peptidase activity tumor–normal activity differences by data type. RNA-level activity shows significant tumor–normal differences in 10 cancer types, while mass-spec protein activity shows differences in 3. The strongest signals are in COAD for RNA and LSCC for protein.
Data typeActivity analysisLineage consensusLineage of highest sampling consensus
GO function (RNA)Box plot10COAD (10)view →
GO function (Protein (mass-spec))Box plot3LSCC (6)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 higher tumor activity across COAD, UCEC, BLCA and HNSC and lower tumor activity in LUSC and LUAD. In the COAD box plot, tumor samples show higher pathway activity than matched normal samples (log2 FC = +0.088, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
COADMaleII,III,IV+0.088<.00110view →
LUSCFemaleII,III,IV−0.132<.0018view →
LUADAllIII,IV−0.079<.0018view →
UCECAllAll+0.065<.0016view →
BLCAAllAll+0.053.0026view →
HNSCAllAll+0.040.0015view →
Pink = higher activity in tumor. all 10 lineages →

Cross-omics associations

This table shows molecular features associated with Positive regulation of aspartic-type peptidase activity 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 KIRC. In cancer cell lines, RNA-expression features and functional dependencies dominate, with the largest set in BLOOD_Leukemia.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA36,046KIRC (16626)view →
Protein (mass-spec)17,998LSCC (8581)view →
Protein (mass-spec)
Protein (mass-spec)12,475LSCC (3921)view →
RNA2,968LSCC (1380)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
shRNA
RNA2,218BLOOD_Leukemia (666)view →
shRNA1,709BLOOD_Leukemia (385)view →
RNA
Inducing drug1NCI60_ALL (1)view →