Negative regulation of proteolysis

pathway activity — cross-omics
GO:0045861Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Negative regulation of proteolysis pathway is significantly associated with the protein abundance of multiple proteins, with the GBM cohort showing a particularly strong set of associations.

The most reproducible pathway-associated proteins across cancer lineages are GEM_S23, RSU1, and STAB1, each associated with the pathway in up to 9 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 proteolysis activity versus GEM_S23 in GBM (Pearson r = 0.33).

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
GBMGEM_S23 →+1.060+0.040<.001<.00139
GBMRSU1 →+0.405+0.048<.001<.00138
LSCCSTAB1 →+0.521+0.040<.001<.00138
GBMCNN2 →+0.516+0.035.004<.00138
OVCOPZ2 →+0.922+0.036<.001<.00138
LSCCAHNAK_S1068 →+0.863+0.034<.001<.00138
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0045861 vs GEM_S23 — GBM

Per-sample scatter of Negative regulation of proteolysis activity vs GEM_S23 in GBM.

Explore this scatter interactively →

Exploration