GO:0042403Ontology (GO BP)GO biological process · ~29 member genes
Q-omics provides the Thyroid hormone metabolic process (GO:0042403) pathway profile, scoring each patient from the combined activity of its roughly 29 member genes. Pathway activity is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in CESC. Among the 18 cancer types available for tumor–normal comparison, the pathway is differentially active in 11, with the highest sampling consensus in THCA. Additionally, pathway RNA activity shows 29,918 significant cross-omics associations, again with the highest sampling consensus in LGG. Together, these results highlight CESC, THCA, and LGG 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 Thyroid hormone metabolic process survival associations by molecular data type. RNA-level pathway activity shows survival associations in the most cancer types (23). 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 Thyroid hormone metabolic process activity shows favorable associations in CESC, COAD and ACC, but unfavorable associations in STAD, SKCM and SCLC. In the CESC Kaplan–Meier curve the low-activity group declines faster, consistent with the favorable association (log-rank p = .002). CESC ranks highest by sampling consensus for Thyroid hormone metabolic process.
This table summarizes Thyroid hormone metabolic process tumor–normal activity differences by data type. RNA-level activity shows significant tumor–normal differences in 11 cancer types, while mass-spec protein activity shows differences in 4. The strongest signals are in KIRC 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 BRCA and COAD and lower tumor activity in THCA, KIRC, KIRP and LIHC. In the THCA box plot, normal samples show higher pathway activity than tumor samples (log2 FC = −0.145, t-test p < 0.001).
This table shows molecular features associated with Thyroid hormone 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 LGG. In cancer cell lines, RNA-expression features and functional dependencies dominate, with the largest set in SOFT_TISSUE.
