Negative regulation of autophagy of mitochondrion

associated omics data
GO:1903147Ontology (GO BP)GO biological process · ~7 member genes

Q-omics provides the Negative regulation of autophagy of mitochondrion (GO:1903147) pathway profile, scoring each patient from the combined activity of its roughly 7 member genes. Pathway activity is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in LGG. Among the 18 cancer types available for tumor–normal comparison, the pathway is differentially active in 8, with the highest sampling consensus in LUAD. Additionally, pathway RNA activity shows 36,163 significant cross-omics associations, again with the highest sampling consensus in STAD. Together, these results highlight LGG, LUAD, 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 autophagy of mitochondrion survival associations by molecular data type. RNA-level pathway activity shows survival associations in the most cancer types (21). 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–Meier21LGG (54)view →
GO function (Protein (mass-spec))Kaplan–Meier5CCRCC (33)view →
This table ranks reproducible pathway activity–survival associations across cancer types. High Negative regulation of autophagy of mitochondrion activity shows favorable associations in DLBC and ESCA, but unfavorable associations in LGG, LUSC, KICH and THCA. In the LGG Kaplan–Meier curve the high-activity group declines faster, consistent with the unfavorable association (log-rank p < 0.001). LGG ranks highest by sampling consensus for Negative regulation of autophagy of mitochondrion.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
LGGDFSMedianAll0.6250.838<.00154view →
LUSCDFSTertileIII,IV0.1930.826.00626view →
DLBCDFSMedianIV0.9330.327.00623view →
ESCAOSTertileIII,IV0.6590.292.00118view →
KICHDFSTertileII,III,IV0.1440.897.00818view →
THCAOSTertileII,III,IV0.9460.995.00816view →
Pink = unfavorable, green = favorable. all 21 lineages →

Negative regulation of autophagy of mitochondrion-LGG (DFS)

Kaplan–Meier survival curve for Negative regulation of autophagy of mitochondrion pathway activity in LGG: high vs low activity groups.

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Tumor vs Normal activity

This table summarizes Negative regulation of autophagy of mitochondrion tumor–normal activity differences by data type. RNA-level activity shows significant tumor–normal differences in 8 cancer types, while mass-spec protein activity shows differences in 3. The strongest signals are in LUAD for RNA and HNSC for protein.
Data typeActivity analysisLineage consensusLineage of highest sampling consensus
GO function (RNA)Box plot8LUAD (7)view →
GO function (Protein (mass-spec))Box plot3HNSC (9)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 KIRP and lower tumor activity in LUAD, BRCA, LUSC, COAD and HNSC. In the LUAD box plot, normal samples show higher pathway activity than tumor samples (log2 FC = −0.047, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
LUADFemaleIII,IV−0.047<.0017view →
BRCAFemaleAll−0.023<.0016view →
LUSCAllAll−0.024<.0015view →
COADMaleIII,IV−0.038.0063view →
HNSCFemaleIV−0.048.0022view →
KIRPAllIII,IV+0.043.0142view →
Pink = higher activity in tumor. all 8 lineages →

Negative regulation of autophagy of mitochondrion-LUAD

Tumor-vs-normal pathway-activity box plot for Negative regulation of autophagy of mitochondrion in LUAD.

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Cross-omics associations

This table shows molecular features associated with Negative regulation of autophagy of mitochondrion 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 BONE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA36,163STAD (23498)view →
Protein (mass-spec)8,964BRCA (2867)view →
Protein (mass-spec)
Protein (mass-spec)13,229GBM (3349)view →
RNA1,164GBM (311)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,065BONE (159)view →
RNA865LUNG_NSCLC_LUSC (159)view →
RNA
RNA5,086SOFT_TISSUE (1853)view →
CRISPR1,679SOFT_TISSUE (164)view →
shRNA
shRNA2,608SKIN (578)view →
RNA2,283BLOOD_Leukemia (321)view →
Protein (mass-spec)
RNA1,934BREAST (250)view →
CRISPR1,589SOFT_TISSUE (194)view →