Prostate gland development

pathway activity — cross-omics
GO:0030850Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Prostate gland development pathway is significantly associated with the protein abundance of multiple proteins, with the CCRCC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated proteins across cancer lineages are OPTN_S177, PBK, and EIF2S2, 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, Prostate gland development activity versus OPTN_S177 in CCRCC (Pearson r = -0.23).

Pathway-associated proteins 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 proteinX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
CCRCCOPTN_S177 →-1.022-0.072<.001.00136
OVPBK →-0.573-0.036.005.00736
OVEIF2S2 →-0.148-0.026.009.00636
HNSCTRIM2_T371 →+0.841+0.070<.001<.00135
BRCAHELZ2 →-0.419-0.036<.001<.00135
GBMADD3 →+0.426+0.044<.001.00535
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0030850 vs OPTN_S177 — CCRCC

Per-sample scatter of Prostate gland development activity vs OPTN_S177 in CCRCC.

Explore this scatter interactively →

Exploration