Negative regulation of inflammatory response

pathway activity — cross-omics
GO:0050728Cross-omicsPROTEIN-MS → PROTEIN-MSPatientPairwise association · TCGA cohorts

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

The most reproducible pathway-associated proteins across cancer lineages are FERMT3, DEF6, and DOCK2, 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 inflammatory response activity versus FERMT3 in OV (Pearson r = -0.06).

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
OVFERMT3 →+0.591+0.181<.001<.00139
UCECDEF6 →+0.403+0.171.001.00229
OVDOCK2 →+0.711+0.197<.001<.00138
OVFMNL1 →+0.585+0.175<.001<.00129
OVGPSM3 →+0.665+0.155<.001.00138
GBMHCK →+0.589+0.194<.001.00238
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0050728 vs FERMT3 — OV

Per-sample scatter of Negative regulation of inflammatory response activity vs FERMT3 in OV.

Explore this scatter interactively →

Exploration