Regulation of inflammatory response to wounding

pathway activity — cross-omics
GO:0106014Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Regulation of inflammatory response to wounding 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 FMNL1, ARHGAP45, and HMG20A_S105, 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, Regulation of inflammatory response to wounding activity versus FMNL1 in GBM (Pearson r = 0.65).

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
GBMFMNL1 →+0.701+0.188<.001<.00139
GBMARHGAP45 →+0.619+0.134<.001<.00139
PDACHMG20A_S105 →-0.684-0.049<.001<.00139
OVANKRD44 →+0.457+0.063.003.00339
GBMTBC1D2B →+0.329+0.156<.001<.00138
GBMWAS →+0.686+0.175<.001<.00138
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0106014 vs FMNL1 — GBM

Per-sample scatter of Regulation of inflammatory response to wounding activity vs FMNL1 in GBM.

Explore this scatter interactively →

Exploration