Negative regulation of interleukin-17 production

pathway activity — cross-omics
GO:0032700Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Negative regulation of interleukin-17 production 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 GRN, ALCAM, and RAC1, 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 box plot shows the strongest association, GRN grouped by Negative regulation of interleukin-17 production-low versus -high activity in SOFT_TISSUE.

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_TISSUEGRN →-1.441-1.380.001<.00135
LIVERALCAM →-1.806-1.500.009<.00135
SOFT_TISSUERAC1 →-0.789-1.425.002.00435
BLOOD_LeukemiaATF4 →+0.652+1.346.006<.00125
LUNG_SCLCTAF7L →+0.513+0.972.004.00425
URINARY_TRACTPHKB →+0.876+1.316.005.00833
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GRN by Negative regulation of interleukin-17 production activity — SOFT_TISSUE

Box plot of GRN in Negative regulation of interleukin-17 production-low vs -high samples in SOFT_TISSUE.

Explore this box plot interactively →

Exploration