Positive regulation of secondary metabolite biosynthetic process

pathway activity — cross-omics
GO:1900378Cross-omicsPROTEIN-MS → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Positive regulation of secondary metabolite biosynthetic process pathway is significantly associated with the RNA expression of multiple genes, with the KIDNEY cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are SYAP1, PPIL4, and GNB5, 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, Positive regulation of secondary metabolite biosynthetic process activity versus SYAP1 in KIDNEY (Pearson r = -0.75).

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
KIDNEYSYAP1 →-0.763-1.918.002.00435
LUNG_NSCLC_LUSCPPIL4 →-0.720-1.771.001<.00135
BLOOD_LymphomaGNB5 →-0.881-0.931.002.00935
LUNG_NSCLC_LUADARL3 →-1.072-0.983.001.00635
LUNG_NSCLC_LUADADGRB2 →-1.698-1.174.001.00135
LUNG_NSCLC_LUADZNF737 →+1.225+1.237.003<.00135
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:1900378 vs SYAP1 — KIDNEY

Per-sample scatter of Positive regulation of secondary metabolite biosynthetic process activity vs SYAP1 in KIDNEY.

Explore this scatter interactively →

Exploration