Regulation of phenotypic switching

pathway activity — cross-omics
GO:1900239Cross-omicsSHRNA → SHRNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulation of phenotypic switching pathway is significantly associated with the shRNA dependency of multiple genes, with the CNS cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are IFNA6, KIF2C, and KLRC4, 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, IFNA6 grouped by Regulation of phenotypic switching-low versus -high activity in CNS.

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
CNSIFNA6 →+0.349+0.445.006.00334
BONEKIF2C →+0.218+0.418<.001<.00133
OVARYKLRC4 →-0.167-0.271.007.00333
BONERPUSD1 →+0.218+0.418.003<.00133
OVARYCD4 →-0.134-0.292.001.00933
OVARYACSL6 →+0.199+0.352<.001.00433
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

IFNA6 by Regulation of phenotypic switching activity — CNS

Box plot of IFNA6 in Regulation of phenotypic switching-low vs -high samples in CNS.

Explore this box plot interactively →

Exploration