Negative regulation of adenylate cyclase-activating G protein-coupled receptor signaling pathway

pathway activity — cross-omics
GO:0106072Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Negative regulation of adenylate cyclase-activating G protein-coupled receptor signaling pathway pathway is significantly associated with the RNA expression of multiple genes, with the BLOOD_Leukemia cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are CALCOCO2, FBXO8, and HOMER1, each associated with the pathway in up to 5 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, CALCOCO2 grouped by Negative regulation of adenylate cyclase-activating G protein-coupled receptor signaling pathway-low versus -high activity in BLOOD_Leukemia.

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_LeukemiaCALCOCO2 →-1.206-1.038.002.00334
BLOOD_LeukemiaFBXO8 →-0.619-0.988.001.00334
OVARYHOMER1 →-0.810-0.812.004.00434
OVARYGPHN →-1.070-1.344.008.00125
SKINDYRK1B →-1.137-1.080.005<.00134
SKINRAB32 →+0.836+0.677.006.00834
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

CALCOCO2 by Negative regulation of adenylate cyclase-activating G protein-coupled receptor signaling pathway activity — BLOOD_Leukemia

Box plot of CALCOCO2 in Negative regulation of adenylate cyclase-activating G protein-coupled receptor signaling pathway-low vs -high samples in BLOOD_Leukemia.

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Exploration