Negative regulation of fibrinolysis

pathway activity — cross-omics
GO:0051918Cross-omicsPROTEIN-MS → 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 LUNG_SCLC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are AMY2B, PYCARD, and CBX1, 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, AMY2B grouped by Negative regulation of fibrinolysis-low versus -high activity in LUNG_SCLC.

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
LUNG_SCLCAMY2B →-0.183-0.303.006.00234
LUNG_NSCLC_LUADPYCARD →-0.129-1.017.008.00833
LUNG_NSCLC_LUADCBX1 →-0.133-1.009<.001.00533
BLOOD_LymphomaSHISA2 →-0.425-0.357.003.00233
SKINPRKCG →+0.190+1.214.005.00733
SKINISCU →+0.526+1.534.004.00133
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

AMY2B by Negative regulation of fibrinolysis activity — LUNG_SCLC

Box plot of AMY2B in Negative regulation of fibrinolysis-low vs -high samples in LUNG_SCLC.

Explore this box plot interactively →

Exploration