GDP metabolic process

pathway activity — cross-omics
GO:0046710Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the GDP metabolic process pathway is significantly associated with the RNA expression of multiple genes, with the SKIN cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are PHLDA3, UBTD1, and SFXN1, 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, PHLDA3 grouped by GDP metabolic process-low versus -high activity in SKIN.

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
SKINPHLDA3 →-2.173-1.333.005<.00128
LUNG_NSCLC_LUADUBTD1 →-0.927-0.589.001.00635
SKINSFXN1 →+0.906+0.930.006<.00134
SKINRRM2B →-0.835-1.007.004.00134
PANCREASIL1R2 →-1.716-1.396.008<.00133
KIDNEYKLC4 →+0.891+1.367<.001<.00133
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

PHLDA3 by GDP metabolic process activity — SKIN

Box plot of PHLDA3 in GDP metabolic process-low vs -high samples in SKIN.

Explore this box plot interactively →

Exploration