Negative regulation of secondary metabolite biosynthetic process

pathway activity — cross-omics
GO:1900377Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

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

The most reproducible pathway-associated genes across cancer lineages are PNKP, HMGN1P13, and WDFY3-AS2, each associated with the pathway in up to 3 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, Negative regulation of secondary metabolite biosynthetic process activity versus PNKP in GBM (Pearson r = -0.21).

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
GBMPNKP →-0.372-0.477<.001.00933
LUADHMGN1P13 →+0.539+0.876<.001<.00133
CCRCCWDFY3-AS2 →+0.350+0.603.005.00133
CCRCCSCARNA21B →-0.497-0.583<.001.00233
UCECMAP1B →+0.897+0.299<.001.00232
HNSCF3 →-1.497-0.151.002.00232
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:1900377 vs PNKP — GBM

Per-sample scatter of Negative regulation of secondary metabolite biosynthetic process activity vs PNKP in GBM.

Explore this scatter interactively →

Exploration