Estrogen biosynthetic process

pathway activity — cross-omics
GO:0006703Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

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

The most reproducible pathway-associated genes across cancer lineages are MGST3, SLC35B3, and MKRN1, each associated with the pathway in up to 5 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, Estrogen biosynthetic process activity versus MGST3 in GBM (Pearson r = 0.24).

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
GBMMGST3 →+0.234+0.073<.001<.00135
COADSLC35B3 →+0.262+0.115.008.00225
COADMKRN1 →+0.257+0.114<.001.00225
COADGLCE →+0.503+0.145.001<.00134
COADSOWAHB →+0.492+0.121.001<.00134
COADCLEC5A →-0.806-0.100.001.00434
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0006703 vs MGST3 — GBM

Per-sample scatter of Estrogen biosynthetic process activity vs MGST3 in GBM.

Explore this scatter interactively →

Exploration