Prostate gland growth

pathway activity — cross-omics
GO:0060736Cross-omicsRNA → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Prostate gland growth pathway is significantly associated with the RNA expression of multiple genes, with the SARC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are FGFR2, LY96, and C1QA, each associated with the pathway in up to 24 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, Prostate gland growth activity versus FGFR2 in SARC (Pearson r = 0.03).

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
SARCFGFR2 →+2.059+0.102<.001<.001324
PAADLY96 →-1.066-0.065<.001<.001322
SARCC1QA →-1.829-0.098<.001<.001322
THYMSOX9 →+2.330+0.130<.001<.001321
SARCHCST →-1.496-0.095<.001<.001321
THYMGMFG →-1.795-0.127<.001<.001321
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0060736 vs FGFR2 — SARC

Per-sample scatter of Prostate gland growth activity vs FGFR2 in SARC.

Explore this scatter interactively →

Exploration