Positive regulation of thyroid hormone generation

pathway activity — cross-omics
GO:2000611Cross-omicsRNA → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Positive regulation of thyroid hormone generation pathway is significantly associated with the RNA expression of multiple genes, with the KICH cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are GATA3, ADGRL4, and GATA3-AS1, each associated with the pathway in up to 21 cancer types. Since the analysis shows associations rather than directional relationships, both pathway-to-partner and partner-to-pathway views are reported.

Each partner is linked to its corresponding Q-omics profile. The scatter plot shows the strongest association, Positive regulation of thyroid hormone generation activity versus GATA3 in KICH (Pearson r = 0.51).

Pathway-associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (pathway→partner) and Y-score (partner→pathway) are standardized regression coefficients; both directions are reported because the association is undirected. The reported p-values are derived from the association test.
LineagePartner geneX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
KICHGATA3 →+2.927+0.143<.001<.001221
KIRCADGRL4 →-1.163-0.069<.001<.001318
KICHGATA3-AS1 →+2.141+0.108<.001<.001318
KIRCSLCO1C1 →-0.600-0.075<.001<.001317
UCSHPN →+2.520+0.179<.001<.001317
UVMMBNL1 →-1.008-0.075<.001<.001317
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:2000611 vs GATA3 — KICH

Per-sample scatter of Positive regulation of thyroid hormone generation activity vs GATA3 in KICH.

Explore this scatter interactively →

Exploration