Regulation of glucocorticoid biosynthetic process

pathway activity — cross-omics
GO:0031946Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Regulation of glucocorticoid biosynthetic process pathway is significantly associated with the RNA expression of multiple genes, with the CCRCC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are MIR5690, ABITRAM, and AFF2, each associated with the pathway in up to 4 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, Regulation of glucocorticoid biosynthetic process activity versus MIR5690 in CCRCC (Pearson r = -0.16).

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
CCRCCMIR5690 →+1.494+0.756<.001<.00134
UCECABITRAM →-0.399-0.487<.001.00533
LUADAFF2 →+0.615+0.612<.001.00133
GBMLGI3 →+1.050+0.419.001<.00133
CCRCCDRD5 →+0.359+0.547.001.00233
GBMDUSP14 →-0.271-0.488.003<.00133
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0031946 vs MIR5690 — CCRCC

Per-sample scatter of Regulation of glucocorticoid biosynthetic process activity vs MIR5690 in CCRCC.

Explore this scatter interactively →

Exploration