GO:0042430Ontology (GO BP)GO biological process · ~24 member genes
Q-omics provides the Indole-containing compound metabolic process (GO:0042430) pathway profile, scoring each patient from the combined activity of its roughly 24 member genes. Pathway activity is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in READ. Among the 18 cancer types available for tumor–normal comparison, the pathway is differentially active in 10, with the highest sampling consensus in LIHC. Additionally, pathway RNA activity shows 29,577 significant cross-omics associations, again with the highest sampling consensus in LIHC. Together, these results highlight READ, and LIHC 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 Indole-containing compound metabolic process survival associations by molecular data type. RNA-level pathway activity shows survival associations in the most cancer types (26). 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 Indole-containing compound metabolic process activity shows favorable associations in READ, KIRP, KIRC and OV, but unfavorable associations in STAD and ESCA. In the READ Kaplan–Meier curve the low-activity group declines faster, consistent with the favorable association (log-rank p < 0.001). READ ranks highest by sampling consensus for Indole-containing compound metabolic process.
This table summarizes Indole-containing compound metabolic process 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 LIHC for RNA and CCRCC for protein.
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 and lower tumor activity in LIHC, LUAD, KICH, KIRP and CHOL. In the LIHC box plot, normal samples show higher pathway activity than tumor samples (log2 FC = −0.136, t-test p < 0.001).
This table shows molecular features associated with Indole-containing compound metabolic process 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 LIHC. In cancer cell lines, RNA-expression features and functional dependencies dominate, with the largest set in OVARY.
