Regulation of humoral immune response

pathway activity — cross-omics
GO:0002920Cross-omicsPROTEIN-MS → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulation of humoral immune response 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 EIF3M, ACADVL, and FMNL2, 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, Regulation of humoral immune response activity versus EIF3M in BLOOD_Leukemia (Pearson r = 0.38).

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_LeukemiaEIF3M →+0.472+0.136.001.00426
SOFT_TISSUEACADVL →+0.761+0.279.008.00134
LUNG_SCLCFMNL2 →+1.340+0.182.002.00625
LUNG_SCLCVCP →-0.654-0.255<.001.00134
BLOOD_LeukemiaFAM234A →-0.430-0.125.007.00234
BREASTTAF4B →-1.069-0.331.004.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0002920 vs EIF3M — BLOOD_Leukemia

Per-sample scatter of Regulation of humoral immune response activity vs EIF3M in BLOOD_Leukemia.

Explore this scatter interactively →

Exploration