Steroid biosynthetic process

pathway activity — cross-omics
GO:0006694Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

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

The most reproducible pathway-associated genes across cancer lineages are CEP128, SEH1L, and SH2D4A, 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, Steroid biosynthetic process activity versus CEP128 in PDAC (Pearson r = -0.23).

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
PDACCEP128 →-0.278-0.140.006.00334
PDACSEH1L →-0.326-0.107<.001<.00134
BRCASH2D4A →+0.897+0.172<.001<.00134
BRCATGIF2 →-0.535-0.156.001.00234
BRCATNF →-0.736-0.138.002.00834
GBMRPL5P24 →-1.037-0.176<.001.00234
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0006694 vs CEP128 — PDAC

Per-sample scatter of Steroid biosynthetic process activity vs CEP128 in PDAC.

Explore this scatter interactively →

Exploration