Regulatory T cell differentiation

pathway activity — cross-omics
GO:0045066Cross-omicsPROTEIN-MS → DRUGCellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulatory T cell differentiation pathway is significantly associated with the drug response of multiple features, with the BLOOD_Leukemia cohort showing a particularly strong set of associations.

The most reproducible pathway-associated features across cancer lineages are KU-60019, CCT245232, and RAF_9304, each associated with the pathway in up to 1 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, KU-60019 grouped by Regulatory T cell differentiation-low versus -high activity in BLOOD_Leukemia.

Pathway-associated features 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 featureX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
BLOOD_LeukemiaKU-60019 →-0.525-1.437.034.01011
BLOOD_LeukemiaCCT245232 →-0.669-1.437.035.01011
BLOOD_LeukemiaRAF_9304 →-0.965-1.437.026.01011
BLOOD_LeukemiaDMOG →+0.484+1.437.015.01011
BLOOD_LeukemiaTAF1_5496 →+0.474+1.437.033.01011
BLOOD_LeukemiaGSK650394 →+0.570+1.437.012.01011
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

KU-60019 by Regulatory T cell differentiation activity — BLOOD_Leukemia

Box plot of KU-60019 in Regulatory T cell differentiation-low vs -high samples in BLOOD_Leukemia.

Explore this box plot interactively →

Exploration