Positive regulation of interferon-alpha production

pathway activity — cross-omics
GO:0032727Cross-omicsRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Positive regulation of interferon-alpha production 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 STAT1, RIPK2, and IFIT1, each associated with the pathway in up to 13 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, Positive regulation of interferon-alpha production activity versus STAT1 in BLOOD_Lymphoma (Pearson r = 0.68).

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_LymphomaSTAT1 →+2.454+0.134<.001<.001313
BLOOD_LeukemiaRIPK2 →+1.118+0.100.005<.001311
UPPER_AERODIGESTIVE_TRACTIFIT1 →+3.243+0.117<.001<.001311
LUNG_NSCLC_LUSCZC3HAV1 →+1.025+0.101.008.006311
KIDNEYIFI44L →+3.039+0.105.004.002310
KIDNEYISG15 →+2.120+0.104.004.002211
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0032727 vs STAT1 — BLOOD_Lymphoma

Per-sample scatter of Positive regulation of interferon-alpha production activity vs STAT1 in BLOOD_Lymphoma.

Explore this scatter interactively →

Exploration