Positive regulation of humoral immune response

pathway activity — cross-omics
GO:0002922Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Positive regulation of humoral immune response pathway is significantly associated with the protein abundance of multiple proteins, with the GBM cohort showing a particularly strong set of associations.

The most reproducible pathway-associated proteins across cancer lineages are APBB1IP, SPN_S368, and CORO1A, each associated with the pathway in up to 10 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 humoral immune response activity versus APBB1IP in GBM (Pearson r = 0.40).

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
GBMAPBB1IP →+0.784+0.164<.001<.001310
LSCCSPN_S368 →+0.808+0.095<.001<.00139
GBMCORO1A →+0.598+0.162<.001<.00139
UCECCYBB →+0.813+0.094.001<.00139
GBMAIF1 →+0.946+0.165<.001<.00139
GBMFERMT3 →+0.593+0.138<.001<.00139
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0002922 vs APBB1IP — GBM

Per-sample scatter of Positive regulation of humoral immune response activity vs APBB1IP in GBM.

Explore this scatter interactively →

Exploration