Positive regulation of interleukin-1 beta production

pathway activity — cross-omics
GO:0032731Cross-omicsPROTEIN-MS → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Positive regulation of interleukin-1 beta production 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 GLIS2, P3H4, and STK17A, each associated with the pathway in up to 5 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, Positive regulation of interleukin-1 beta production activity versus GLIS2 in BLOOD_Myeloma (Pearson r = 0.61).

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_MyelomaGLIS2 →+1.850+0.188.001.00725
KIDNEYP3H4 →+1.395+0.195.002.00734
LIVERSTK17A →-1.911-0.275.001.00934
LIVERSIRT4 →+0.877+0.287<.001.00534
BREASTPRSS16 →-2.030-0.214.002.00434
BREASTCISH →+1.859+0.206<.001<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0032731 vs GLIS2 — BLOOD_Myeloma

Per-sample scatter of Positive regulation of interleukin-1 beta production activity vs GLIS2 in BLOOD_Myeloma.

Explore this scatter interactively →

Exploration