Response to interleukin-15

pathway activity — cross-omics
GO:0070672Cross-omicsRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Response to interleukin-15 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, TMEM221, and CSF1, each associated with the pathway in up to 6 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-15 activity versus STAT3 in BLOOD_Lymphoma (Pearson r = 0.62).

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 →+1.594+0.211<.001<.00136
OVARYTMEM221 →-0.628-0.091<.001.00336
SOFT_TISSUECSF1 →+2.202+0.141<.001.00436
BLOOD_LeukemiaRIMBP3B →-0.261-0.111<.001<.00136
BLOOD_LeukemiaPCBP4 →-1.022-0.103<.001<.00136
BLOOD_LymphomaRBM4B →-0.988-0.267<.001<.00136
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0070672 vs STAT3 — BLOOD_Lymphoma

Per-sample scatter of Response to interleukin-15 activity vs STAT3 in BLOOD_Lymphoma.

Explore this scatter interactively →

Exploration