Polyketide metabolic process

pathway activity — cross-omics
GO:0030638Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

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

The most reproducible pathway-associated genes across cancer lineages are AKR1C2, AKR1C3, and AKR1C1, each associated with the pathway in up to 9 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 AKR1C2 in LSCC (Pearson r = 0.46).

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
LSCCAKR1C2 →+3.294+0.211<.001<.00139
LSCCAKR1C3 →+2.333+0.156<.001<.00139
LSCCAKR1C1 →+2.594+0.169<.001<.00138
LSCCAKR1B10 →+3.857+0.173<.001<.00136
GBMALDH1A1 →+0.936+0.136<.001<.00136
BRCAMAOA →+1.187+0.226<.001<.00136
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0030638 vs AKR1C2 — LSCC

Per-sample scatter of Polyketide metabolic process activity vs AKR1C2 in LSCC.

Explore this scatter interactively →

Exploration