Negative regulation of fibrinolysis

pathway activity — cross-omics
GO:0051918Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Negative regulation of fibrinolysis pathway is significantly associated with the RNA expression of multiple genes, with the LSCC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are ITPRIP, IGFBP7, and CDC42EP3, each associated with the pathway in up to 7 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 fibrinolysis activity versus ITPRIP in LSCC (Pearson r = 0.32).

Pathway-associated genes 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 geneX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
LSCCITPRIP →+0.465+0.166.001.00137
LSCCIGFBP7 →+0.784+0.223<.001<.00137
BRCACDC42EP3 →+0.611+0.084.002.00537
LSCCSERPINE1 →+1.360+0.217<.001<.00136
GBMCOL6A2 →+1.325+0.210.002<.00136
COADITGA5 →+0.933+0.122.002.00736
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0051918 vs ITPRIP — LSCC

Per-sample scatter of Negative regulation of fibrinolysis activity vs ITPRIP in LSCC.

Explore this scatter interactively →

Exploration