Negative regulation of humoral immune response

pathway activity — cross-omics
GO:0002921Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Negative regulation of humoral immune response pathway is significantly associated with the RNA expression of multiple genes, with the SOFT_TISSUE cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are RBM18, GARNL3, and FANCL, each associated with the pathway in up to 3 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 box plot shows the strongest association, RBM18 grouped by Negative regulation of humoral immune response-low versus -high activity in SOFT_TISSUE.

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
SOFT_TISSUERBM18 →-0.747-0.352.002.00133
BREASTGARNL3 →-0.995-0.292.002.00833
LUNG_SCLCFANCL →-0.798-1.090.007.00633
LUNG_SCLCNFIB →-1.643-0.751.003.00533
LUNG_NSCLC_LUADETFA →-0.488-0.385.006.00833
OESOPHAGUSKIZ →-1.008-0.314.005.00533
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

RBM18 by Negative regulation of humoral immune response activity — SOFT_TISSUE

Box plot of RBM18 in Negative regulation of humoral immune response-low vs -high samples in SOFT_TISSUE.

Explore this box plot interactively →

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