Negative regulation of fibroblast proliferation

pathway activity — cross-omics
GO:0048147Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

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

The most reproducible pathway-associated proteins across cancer lineages are MAPK9, TAB2_S524, and CETN2, each associated with the pathway in up to 6 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 fibroblast proliferation activity versus MAPK9 in BRCA (Pearson r = 0.07).

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
BRCAMAPK9 →+0.274+0.037<.001<.00136
LUADTAB2_S524 →+0.420+0.027.001<.00135
GBMCETN2 →+0.333+0.042.001<.00135
BRCAIFT43_S78 →+0.436+0.032.002.00135
BRCAMETTL26 →+0.378+0.031<.001<.00135
PDACPEA15 →+0.573+0.029<.001<.00135
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0048147 vs MAPK9 — BRCA

Per-sample scatter of Negative regulation of fibroblast proliferation activity vs MAPK9 in BRCA.

Explore this scatter interactively →

Exploration