Negative regulation of interleukin-13 production

pathway activity — cross-omics
GO:0032696Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Negative regulation of interleukin-13 production pathway is significantly associated with the protein abundance of multiple proteins, with the PDAC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated proteins across cancer lineages are VIM, PLA2G15, and SAMD4A, each associated with the pathway in up to 6 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 interleukin-13 production activity versus VIM in PDAC (Pearson r = 0.29).

Pathway-associated proteins 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 proteinX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
PDACVIM →+0.330+0.057<.001<.00136
LSCCPLA2G15 →+0.194+0.060.004.00336
COADSAMD4A →+0.859+0.102.006<.00135
LSCCAKAP12 →+0.472+0.113<.001<.00135
GBMHSP90B1 →+0.303+0.081.001<.00135
GBMITGB1 →+0.443+0.113<.001<.00135
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0032696 vs VIM — PDAC

Per-sample scatter of Negative regulation of interleukin-13 production activity vs VIM in PDAC.

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Exploration