Secondary metabolic process

pathway activity — cross-omics
GO:0019748Cross-omicsPROTEIN-MS → RNACellPairwise association · TCGA cohorts

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

The most reproducible pathway-associated genes across cancer lineages are AKR1A1, CBFA2T2, and PPP1R37, 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, Secondary metabolic process activity versus AKR1A1 in BLOOD_Leukemia (Pearson r = 0.51).

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
BLOOD_LeukemiaAKR1A1 →+0.856+0.458<.001.00139
KIDNEYCBFA2T2 →+1.447+0.270.004.00737
BLOOD_LeukemiaPPP1R37 →+0.522+0.241<.001.00136
STOMACHTHTPA →+1.668+1.365.001.00435
BLOOD_LeukemiaPELI2 →+1.280+0.308<.001.00335
BLOOD_LeukemiaKLHDC2 →+0.417+0.306.005.00335
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0019748 vs AKR1A1 — BLOOD_Leukemia

Per-sample scatter of Secondary metabolic process activity vs AKR1A1 in BLOOD_Leukemia.

Explore this scatter interactively →

Exploration