Peroxisome organization

pathway activity — cross-omics
GO:0007031Cross-omicsPROTEIN-MS → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Peroxisome organization pathway is significantly associated with the RNA expression of multiple genes, with the BLOOD_Myeloma cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are DCUN1D4, ABRAXAS2, and KLK8, each associated with the pathway in up to 3 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, Peroxisome organization activity versus DCUN1D4 in BLOOD_Myeloma (Pearson r = 0.80).

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_MyelomaDCUN1D4 →+1.316+1.309<.001.00233
BLOOD_MyelomaABRAXAS2 →+0.828+1.355.008.00233
OVARYKLK8 →+2.776+0.664.003.00333
OVARYH4C14 →+1.635+0.675.002.00333
BLOOD_LeukemiaDAP3 →+0.436+0.664.004.00533
BLOOD_LeukemiaSLC30A9 →+0.776+1.094.002<.00133
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0007031 vs DCUN1D4 — BLOOD_Myeloma

Per-sample scatter of Peroxisome organization activity vs DCUN1D4 in BLOOD_Myeloma.

Explore this scatter interactively →

Exploration