Response to interferon-beta

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

Across TCGA cell cohorts, RNA activity of the Response to interferon-beta 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 HSPA4L, BAG3, and PNO1, 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 interferon-beta activity versus HSPA4L in BLOOD_Lymphoma (Pearson r = 0.41).

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_LymphomaHSPA4L →+1.184+0.233.001<.00136
BLOOD_LymphomaBAG3 →+1.271+0.188.005.00335
LUNG_NSCLC_LUSCPNO1 →+0.641+0.356.002.00335
BLOOD_LymphomaFAH →+1.119+0.246<.001<.00126
BLOOD_LymphomaSUOX →+2.152+0.227<.001<.00135
BLOOD_LymphomaZC3H12C →+1.490+0.228.004.00235
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0035456 vs HSPA4L — BLOOD_Lymphoma

Per-sample scatter of Response to interferon-beta activity vs HSPA4L in BLOOD_Lymphoma.

Explore this scatter interactively →

Exploration