Response to interleukin-9

pathway activity — cross-omics
GO:0071104Cross-omicsPROTEIN-MS → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Response to interleukin-9 pathway is significantly associated with the RNA expression of multiple genes, with the BLOOD_Myeloma cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are STAT1, PPP1R3B, and CAP1, each associated with the pathway in up to 7 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-9 activity versus STAT1 in BLOOD_Myeloma (Pearson r = 0.91).

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_MyelomaSTAT1 →+4.240+2.406.001<.00137
BLOOD_LymphomaPPP1R3B →+2.067+1.403.001.00236
BLOOD_LymphomaCAP1 →+0.878+1.290<.001.00126
BLOOD_LymphomaIFI35 →+2.696+1.362<.001<.00135
BLOOD_LymphomaWDFY1 →+1.284+1.325.004.00134
CNSFTL →+2.058+1.194.005.00334
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0071104 vs STAT1 — BLOOD_Myeloma

Per-sample scatter of Response to interleukin-9 activity vs STAT1 in BLOOD_Myeloma.

Explore this scatter interactively →

Exploration