"Regulation of CD4-positive, CD25-positive, alpha-beta regulatory T cell differentiation"

pathway activity — cross-omics
GO:0032829Cross-omicsPROTEIN-MS → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the "Regulation of CD4-positive, CD25-positive, alpha-beta regulatory T cell differentiation" pathway is significantly associated with the protein abundance of multiple proteins, with the CCRCC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated proteins across cancer lineages are LGALS9, STK10, and CCDC88B_S597, each associated with the pathway in up to 8 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, "Regulation of CD4-positive, CD25-positive, alpha-beta regulatory T cell differentiation" activity versus LGALS9 in CCRCC (Pearson r = 0.18).

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
CCRCCLGALS9 →+0.551+0.216<.001<.00138
HNSCSTK10 →+0.350+0.138<.001<.00135
CCRCCCCDC88B_S597 →+0.682+0.205<.001<.00135
COADHLA-DRB1 →+0.744+0.083<.001<.00135
LSCCARHGAP15_S43 →+0.566+0.116<.001<.00135
CCRCCALOX5 →+0.660+0.187<.001<.00135
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0032829 vs LGALS9 — CCRCC

Per-sample scatter of

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Exploration