Negative regulation of receptor signaling pathway via STAT

pathway activity — cross-omics
GO:1904893Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Negative regulation of receptor signaling pathway via STAT pathway is significantly associated with the RNA expression of multiple genes, with the GBM cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are KLHDC2, FOSL1, and RGS7BP, 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 scatter plot shows the strongest association, Negative regulation of receptor signaling pathway via STAT activity versus KLHDC2 in GBM (Pearson r = -0.28).

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
GBMKLHDC2 →-0.396-0.317<.001<.00134
PDACFOSL1 →+0.668+0.112.001.00934
PDACRGS7BP →-0.762-0.138<.001.00334
PDACSULT2B1 →+0.607+0.141.008.00634
GBMDOCK8-AS1 →+0.416+0.351<.001<.00134
GBMICAM1 →+1.347+0.410<.001.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:1904893 vs KLHDC2 — GBM

Per-sample scatter of Negative regulation of receptor signaling pathway via STAT activity vs KLHDC2 in GBM.

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Exploration