Regulation of metallopeptidase activity

pathway activity — cross-omics
GO:1905048Cross-omicsPROTEIN-MS → DRUGCellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulation of metallopeptidase activity pathway is significantly associated with the drug response of multiple features, with the CNS cohort showing a particularly strong set of associations.

The most reproducible pathway-associated features across cancer lineages are AZD4547, CRT0105950, and BIBF-1120, each associated with the pathway in up to 2 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 box plot shows the strongest association, AZD4547 grouped by Regulation of metallopeptidase activity-low versus -high activity in CNS.

Pathway-associated features 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 featureX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
CNSAZD4547 →-1.710-0.814<.001.00232
CNSCRT0105950 →-0.463-0.814.017.00232
CNSBIBF-1120 →-1.273-0.814.022.00232
CNSLestaurtinib →-0.389-0.814.034.00231
CNSCRT0105446 →-0.473-0.814.048.00231
CNSFS112 →-0.250-0.814.020.00231
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

AZD4547 by Regulation of metallopeptidase activity activity — CNS

Box plot of AZD4547 in Regulation of metallopeptidase activity-low vs -high samples in CNS.

Explore this box plot interactively →

Exploration