Negative regulation of fibrinolysis

pathway activity — cross-omics
GO:0051918Cross-omicsSHRNA → SHRNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Negative regulation of fibrinolysis pathway is significantly associated with the shRNA dependency of multiple genes, with the CNS cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are PLAT, SERPINE1, and RAB33A, 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 box plot shows the strongest association, PLAT grouped by Negative regulation of fibrinolysis-low versus -high activity in CNS.

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
CNSPLAT →-0.370-1.201<.001<.00136
LIVERSERPINE1 →-0.253-1.610<.001.00134
OESOPHAGUSRAB33A →-0.154-1.208.008.00134
SOFT_TISSUEFGF21 →-0.198-1.315.003<.00134
SOFT_TISSUEPACSIN1 →-0.169-1.298.006<.00134
SOFT_TISSUEMASP2 →-0.323-1.259.001<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

PLAT by Negative regulation of fibrinolysis activity — CNS

Box plot of PLAT in Negative regulation of fibrinolysis-low vs -high samples in CNS.

Explore this box plot interactively →

Exploration