Negative regulation of hydrolase activity

pathway activity — cross-omics
GO:0051346Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Negative regulation of hydrolase activity 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 GPX3, STAB1, and WIPF1, 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 hydrolase activity activity versus GPX3 in GBM (Pearson r = 0.34).

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
GBMGPX3 →+0.805+0.054<.001<.00139
GBMSTAB1 →+0.406+0.037<.001<.00138
OVWIPF1 →+0.445+0.031.005<.00129
LSCCCLPX →-0.254-0.029<.001<.00138
OVCNN2 →+0.904+0.035<.001<.00138
GBMDPYD →+0.727+0.056.004<.00138
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0051346 vs GPX3 — GBM

Per-sample scatter of Negative regulation of hydrolase activity activity vs GPX3 in GBM.

Explore this scatter interactively →

Exploration