Negative regulation of natural killer cell activation

pathway activity — cross-omics
GO:0032815Cross-omicsRNA → RNACellPairwise association · TCGA cohorts

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

The most reproducible pathway-associated genes across cancer lineages are MICA, HLA-B, and HLA-C, each associated with the pathway in up to 13 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, Negative regulation of natural killer cell activation activity versus MICA in LUNG_SCLC (Pearson r = 0.53).

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
LUNG_SCLCMICA →+3.199+1.277<.001<.001313
SOFT_TISSUEHLA-B →+3.918+0.148<.001.001310
LIVERHLA-C →+2.743+0.204.003.002310
LIVERTAP1 →+3.048+0.251<.001<.00139
LUNG_SCLCHLA-E →+3.351+1.405<.001<.00139
LUNG_SCLCH3-3A →-0.767-1.038.003.00139
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0032815 vs MICA — LUNG_SCLC

Per-sample scatter of Negative regulation of natural killer cell activation activity vs MICA in LUNG_SCLC.

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Exploration