Response to interleukin-7

pathway activity — cross-omics
GO:0098760Cross-omicsPROTEIN-MS → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Response to interleukin-7 pathway is significantly associated with the RNA expression of multiple genes, with the BLOOD_Lymphoma cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are STAT3, SOCS3, and BHLHE40, each associated with the pathway in up to 3 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, Response to interleukin-7 activity versus STAT3 in BLOOD_Lymphoma (Pearson r = 0.82).

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
BLOOD_LymphomaSTAT3 →+2.797+1.916<.001<.00133
BLOOD_LymphomaSOCS3 →+4.249+1.916.001<.00133
BLOOD_LymphomaBHLHE40 →+5.655+2.010.001<.00133
BLOOD_LymphomaIRF9 →+2.323+2.251<.001<.00133
BLOOD_LymphomaCTTN →+3.265+1.581<.001<.00132
BLOOD_LymphomaPIGS →+1.110+1.924.009<.00132
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0098760 vs STAT3 — BLOOD_Lymphoma

Per-sample scatter of Response to interleukin-7 activity vs STAT3 in BLOOD_Lymphoma.

Explore this scatter interactively →

Exploration