Regulation of polysaccharide metabolic process

pathway activity — cross-omics
GO:0032881Cross-omicsSHRNA → SHRNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulation of polysaccharide metabolic process pathway is significantly associated with the shRNA dependency of multiple genes, with the KIDNEY cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are PPP1CB, IGF2, and SLK, each associated with the pathway in up to 8 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, PPP1CB grouped by Regulation of polysaccharide metabolic process-low versus -high activity in KIDNEY.

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
KIDNEYPPP1CB →-0.429-0.338.005.00438
SOFT_TISSUEIGF2 →-0.383-0.367<.001<.00136
SOFT_TISSUESLK →-0.161-0.273<.001.00135
LIVERTMEM97 →+0.215+0.315<.001.00134
BONEPHKG2 →-0.354-0.389.006.00334
KIDNEYDGKH →+0.260+0.347.001.00334
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

PPP1CB by Regulation of polysaccharide metabolic process activity — KIDNEY

Box plot of PPP1CB in Regulation of polysaccharide metabolic process-low vs -high samples in KIDNEY.

Explore this box plot interactively →

Exploration