Negative regulation of cytokine production involved in inflammatory response

pathway activity — cross-omics
GO:1900016Cross-omicsRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Negative regulation of cytokine production involved in inflammatory response pathway is significantly associated with the RNA expression of multiple genes, with the SOFT_TISSUE cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are ZC3H12A, MVP, and SEMA4B, each associated with the pathway in up to 14 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, Negative regulation of cytokine production involved in inflammatory response activity versus ZC3H12A in SOFT_TISSUE (Pearson r = 0.59).

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
SOFT_TISSUEZC3H12A →+1.773+0.118<.001<.001314
LUNG_NSCLC_LUSCMVP →+2.503+0.102<.001.004313
OVARYSEMA4B →+1.319+0.089<.001.001313
OVARYIL15RA →+1.716+0.098<.001<.001312
BLOOD_LymphomaMOB3C →+1.062+0.068.001<.001312
BONESPSB1 →+1.465+0.124<.001<.001312
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:1900016 vs ZC3H12A — SOFT_TISSUE

Per-sample scatter of Negative regulation of cytokine production involved in inflammatory response activity vs ZC3H12A in SOFT_TISSUE.

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Exploration