Reduction of food intake in response to dietary excess
associated omics data
GO:0002023Ontology (GO BP)GO biological process · ~5 member genes
Q-omics provides the Reduction of food intake in response to dietary excess (GO:0002023) pathway profile, scoring each patient from the combined activity of its roughly 5 member genes. Pathway activity is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, the pathway is differentially active in 16, with the highest sampling consensus in THCA. Additionally, pathway RNA activity shows 29,967 significant cross-omics associations, again with the highest sampling consensus in PRAD. Together, these results highlight MESO, THCA, and PRAD 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 Reduction of food intake in response to dietary excess survival associations by molecular data type. RNA-level pathway activity shows survival associations in the most cancer types (22). The rightmost column indicates the cancer type with the highest sampling consensus for each layer.
This table ranks reproducible pathway activity–survival associations across cancer types. High Reduction of food intake in response to dietary excess activity shows favorable associations in BLCA, but unfavorable associations in MESO, UCS, KICH, ESCA and LGG. In the MESO Kaplan–Meier curve the high-activity group declines faster, consistent with the unfavorable association (log-rank p < 0.001). MESO ranks highest by sampling consensus for Reduction of food intake in response to dietary excess.
This table summarizes Reduction of food intake in response to dietary excess tumor–normal activity differences by data type. RNA-level activity shows significant tumor–normal differences in 16 cancer types. The strongest signals are in BLCA for RNA.
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 THCA, BLCA, LUAD, KICH, STAD and COAD. In the THCA box plot, tumor samples show higher pathway activity than matched normal samples (log2 FC = +0.188, t-test p < 0.001).
This table shows molecular features associated with Reduction of food intake in response to dietary excess 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 PRAD. In cancer cell lines, RNA-expression features and functional dependencies dominate, with the largest set in OVARY.