Response to interferon-beta

pathway activity — cross-omics
GO:0035456Cross-omicsPROTEIN-MS → PROTEIN-MSCellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Response to interferon-beta pathway is significantly associated with the protein abundance of multiple proteins, with the BLOOD_Lymphoma cohort showing a particularly strong set of associations.

The most reproducible pathway-associated proteins across cancer lineages are STAT1, EIF2AK2, and ANXA7, each associated with the pathway in up to 12 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 interferon-beta activity versus STAT1 in BLOOD_Lymphoma (Pearson r = 0.64).

Pathway-associated proteins 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 proteinX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
BLOOD_LymphomaSTAT1 →+2.403+0.282<.001<.001312
BLOOD_LymphomaEIF2AK2 →+1.474+0.229<.001.00139
OVARYANXA7 →+1.405+0.262<.001.00138
BLOOD_LymphomaSRP54 →+0.823+0.297<.001<.00138
OVARYCAPN2 →+1.729+0.203<.001.00538
BREASTRPS8 →+0.569+0.184.002.00238
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0035456 vs STAT1 — BLOOD_Lymphoma

Per-sample scatter of Response to interferon-beta activity vs STAT1 in BLOOD_Lymphoma.

Explore this scatter interactively →

Exploration