Intrinsic apoptotic signaling pathway in response to hypoxia

associated omics data
GO:1990144Ontology (GO BP)GO biological process · ~9 member genes

Q-omics provides the Intrinsic apoptotic signaling pathway in response to hypoxia (GO:1990144) pathway profile, scoring each patient from the combined activity of its roughly 9 member genes. Pathway activity is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in PAAD. Among the 18 cancer types available for tumor–normal comparison, the pathway is differentially active in 10, with the highest sampling consensus in KIRC. Additionally, pathway RNA activity shows 35,961 significant cross-omics associations, again with the highest sampling consensus in STAD. Together, these results highlight PAAD, KIRC, 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 Intrinsic apoptotic signaling pathway in response to hypoxia survival associations by molecular data type. RNA-level pathway activity shows survival associations in the most cancer types (24). 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–Meier24PAAD (72)view →
GO function (Protein (mass-spec))Kaplan–Meier6LUAD (20)view →
This table ranks reproducible pathway activity–survival associations across cancer types. High Intrinsic apoptotic signaling pathway in response to hypoxia activity shows favorable associations in KIRC, LIHC and SKCM, but unfavorable associations in PAAD, LUSC and BLCA. In the PAAD Kaplan–Meier curve the high-activity group declines faster, consistent with the unfavorable association (log-rank p < 0.001). PAAD ranks highest by sampling consensus for Intrinsic apoptotic signaling pathway in response to hypoxia.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
PAADOSTertileAll0.4480.687<.00172view →
KIRCOSQuartileAll0.7400.509<.00160view →
LIHCDFSMedianIII,IV0.3180.091.00144view →
LUSCDFSMedianIII,IV0.4070.883.00633view →
SKCMDFSTertileAll0.3360.182<.00125view →
BLCADFSTertileAll0.2110.555.00423view →
Pink = unfavorable, green = favorable. all 24 lineages →

Tumor vs Normal activity

This table summarizes Intrinsic apoptotic signaling pathway in response to hypoxia 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 4. The strongest signals are in KIRC for RNA and CCRCC for protein.
Data typeActivity analysisLineage consensusLineage of highest sampling consensus
GO function (RNA)Box plot10KIRC (11)view →
GO function (Protein (mass-spec))Box plot4CCRCC (8)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 KIRC, LIHC and KIRP and lower tumor activity in THCA, KICH and BRCA. In the KIRC box plot, tumor samples show higher pathway activity than matched normal samples (log2 FC = +0.091, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KIRCFemaleAll+0.091<.00111view →
THCAMaleIII,IV−0.071<.00110view →
KICHFemaleAll−0.104<.0018view →
LIHCAllAll+0.029<.0017view →
BRCAAllAll−0.066<.0016view →
KIRPFemaleAll+0.060.0025view →
Pink = higher activity in tumor. all 10 lineages →

Cross-omics associations

This table shows molecular features associated with Intrinsic apoptotic signaling pathway in response to hypoxia 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. In cancer cell lines, RNA-expression features and functional dependencies dominate, with the largest set in SOFT_TISSUE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA35,961STAD (19703)view →
Protein (mass-spec)8,164GBM (2501)view →
Protein (mass-spec)
Protein (mass-spec)11,901HNSC (1967)view →
RNA4,130CCRCC (1748)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
shRNA
RNA2,750SOFT_TISSUE (1090)view →
shRNA2,528SKIN (916)view →
RNA
Inducing drug2NCI60_ALL (2)view →