Regulation of testosterone biosynthetic process

pathway activity — cross-omics
GO:2000224Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Regulation of testosterone 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 FGF2, DIAPH2, and CAVIN2, each associated with the pathway in up to 6 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 testosterone biosynthetic process activity versus FGF2 in PDAC (Pearson r = 0.31).

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
PDACFGF2 →+0.450+0.137.002.00636
LUADDIAPH2 →+0.462+0.229.003<.00134
UCECCAVIN2 →+0.817+0.178.006.00834
LUADPRDM5 →+0.358+0.188.007.00134
UCECCYBRD1 →+0.632+0.175.003.00534
UCECSRPX →+0.794+0.148<.001.00534
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:2000224 vs FGF2 — PDAC

Per-sample scatter of Regulation of testosterone biosynthetic process activity vs FGF2 in PDAC.

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Exploration