Cellular response to interleukin-1

pathway activity — cross-omics
GO:0071347Cross-omicsPROTEIN-MS → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Cellular response to interleukin-1 pathway is significantly associated with the RNA expression of multiple genes, with the BLOOD_Leukemia cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are CPNE2, PDK1, and SCAMP1, each associated with the pathway in up to 5 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, Cellular response to interleukin-1 activity versus CPNE2 in BLOOD_Leukemia (Pearson r = 0.36).

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_LeukemiaCPNE2 →+1.727+0.151.003.00335
BONEPDK1 →+1.312+0.305.001.00434
BONESCAMP1 →+0.867+0.224.004.00134
STOMACHAAMDC →+1.635+0.236.009.00534
LUNG_SCLCPTP4A2 →-0.556-0.133.001.00134
CNSASXL2 →+0.431+0.154.001<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0071347 vs CPNE2 — BLOOD_Leukemia

Per-sample scatter of Cellular response to interleukin-1 activity vs CPNE2 in BLOOD_Leukemia.

Explore this scatter interactively →

Exploration