Positive regulation of natural killer cell differentiation

pathway activity — cross-omics
GO:0032825Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Positive regulation of natural killer cell differentiation pathway is significantly associated with the RNA expression of multiple genes, with the SKIN cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are S100A3, KATNB1, and SPSB1, each associated with the pathway in up to 4 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, S100A3 grouped by Positive regulation of natural killer cell differentiation-low versus -high activity in SKIN.

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
SKINS100A3 →-2.611-1.132<.001.00234
BONEKATNB1 →+1.221+1.872.002<.00134
BLOOD_LeukemiaSPSB1 →+1.395+0.986.001<.00134
BLOOD_MyelomaCOPS7A →+1.112+1.712.003.00234
PANCREASPDE11A →+1.301+1.296.003<.00134
CNSZNRF1 →+0.593+0.929<.001<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

S100A3 by Positive regulation of natural killer cell differentiation activity — SKIN

Box plot of S100A3 in Positive regulation of natural killer cell differentiation-low vs -high samples in SKIN.

Explore this box plot interactively →

Exploration