Negative regulation of protein kinase activity by regulation of protein phosphorylation

pathway activity — cross-omics
GO:0044387Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Negative regulation of protein kinase activity by regulation of protein phosphorylation pathway is significantly associated with the RNA expression of multiple genes, with the LUNG_NSCLC_LUSC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are DBNDD2, ZNF658, and MIER2, 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, DBNDD2 grouped by Negative regulation of protein kinase activity by regulation of protein phosphorylation-low versus -high activity in LUNG_NSCLC_LUSC.

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_NSCLC_LUSCDBNDD2 →+1.594+0.291.005.00634
BLOOD_LymphomaZNF658 →-0.936-1.894<.001<.00134
STOMACHMIER2 →-1.053-0.436.002.00133
URINARY_TRACTWDR91 →-0.963-1.929.008<.00133
URINARY_TRACTTTC25 →-1.250-2.124.002<.00133
URINARY_TRACTIFT88 →-0.906-2.000.006<.00133
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

DBNDD2 by Negative regulation of protein kinase activity by regulation of protein phosphorylation activity — LUNG_NSCLC_LUSC

Box plot of DBNDD2 in Negative regulation of protein kinase activity by regulation of protein phosphorylation-low vs -high samples in LUNG_NSCLC_LUSC.

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