Regulation of post-translational protein modification

pathway activity — cross-omics
GO:1901873Cross-omicsRNA → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Regulation of post-translational protein modification pathway is significantly associated with the RNA expression of multiple genes, with the UVM cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are STK4, MED23, and ACAP2, each associated with the pathway in up to 34 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 post-translational protein modification activity versus STK4 in UVM (Pearson r = 0.84).

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
UVMSTK4 →+1.110+0.043<.001<.001334
UVMMED23 →+1.222+0.042<.001<.001334
UVMACAP2 →+1.435+0.047<.001<.001334
UVMTHOC2 →+1.693+0.045<.001<.001334
UVMHP1BP3 →+1.181+0.042<.001<.001334
UVMSENP7 →+1.379+0.046<.001<.001334
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:1901873 vs STK4 — UVM

Per-sample scatter of Regulation of post-translational protein modification activity vs STK4 in UVM.

Explore this scatter interactively →

Exploration