Regulation of JNK cascade

pathway activity — cross-omics
GO:0046328Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulation of JNK cascade pathway is significantly associated with the RNA expression of multiple genes, with the LIVER cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are MYL9, FLNB, and TGFB1I1, 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, MYL9 grouped by Regulation of JNK cascade-low versus -high activity in LIVER.

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
LIVERMYL9 →-5.516-0.176<.001<.00133
CNSFLNB →-1.261-0.615<.001<.00133
CNSTGFB1I1 →-1.734-0.837.005.00233
CNSTENM2 →-2.813-0.780<.001.00133
CNSTPM4 →-1.291-0.695<.001.00333
CNSMTMR2 →-0.554-0.575.002.00933
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

MYL9 by Regulation of JNK cascade activity — LIVER

Box plot of MYL9 in Regulation of JNK cascade-low vs -high samples in LIVER.

Explore this box plot interactively →

Exploration