Polyketide metabolic process

pathway activity — cross-omics
GO:0030638Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Polyketide metabolic process pathway is significantly associated with the protein abundance of multiple proteins, with the LSCC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated proteins across cancer lineages are AKR1C1, GFPT2_T227, and AKR1B10, each associated with the pathway in up to 6 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 scatter plot shows the strongest association, Polyketide metabolic process activity versus AKR1C1 in LSCC (Pearson r = 0.70).

Pathway-associated proteins 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 proteinX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
LSCCAKR1C1 →+2.077+0.211<.001<.00136
CCRCCGFPT2_T227 →-1.382-0.095<.001.00136
LUADAKR1B10 →+2.736+0.142<.001<.00136
UCECAKR1C2 →+2.473+0.140<.001<.00136
LSCCAKR1C3 →+1.882+0.224<.001<.00136
LUADTXNRD1 →+0.855+0.169<.001<.00135
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0030638 vs AKR1C1 — LSCC

Per-sample scatter of Polyketide metabolic process activity vs AKR1C1 in LSCC.

Explore this scatter interactively →

Exploration