Regulation of fibrinolysis

pathway activity — cross-omics
GO:0051917Cross-omicsPROTEIN-MS → SHRNACellPairwise association · TCGA cohorts

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

The most reproducible pathway-associated genes across cancer lineages are XRCC6, ARHGEF28, and IRX4, each associated with the pathway in up to 4 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, XRCC6 grouped by Regulation of fibrinolysis-low versus -high activity in BLOOD_Lymphoma.

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
BLOOD_LymphomaXRCC6 →+0.476+0.443.004<.00134
SKINARHGEF28 →-0.098-1.230<.001<.00133
BLOOD_LymphomaIRX4 →-0.360-0.363.004.00733
SKINDCAF4 →-0.142-1.375.005<.00133
SKINSLC9A5 →-0.227-1.244.001<.00133
LUNG_SCLCPDXK →-0.132-0.292.007.00833
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

XRCC6 by Regulation of fibrinolysis activity — BLOOD_Lymphoma

Box plot of XRCC6 in Regulation of fibrinolysis-low vs -high samples in BLOOD_Lymphoma.

Explore this box plot interactively →

Exploration