Regulation of NK T cell activation

pathway activity — cross-omics
GO:0051133Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Regulation of NK T cell activation pathway is significantly associated with the RNA expression of multiple genes, with the GBM cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are HCST, ITGB7, and LILRB1, each associated with the pathway in up to 9 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 NK T cell activation activity versus HCST in GBM (Pearson r = 0.47).

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
GBMHCST →+0.986+0.434<.001<.00139
LSCCITGB7 →+0.507+0.328<.001.00239
GBMLILRB1 →+0.816+0.383<.001<.00138
GBMIL10RA →+1.039+0.292<.001<.00138
GBMBIN2 →+1.102+0.529<.001<.00138
UCECITK →+0.752+0.331<.001<.00138
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0051133 vs HCST — GBM

Per-sample scatter of Regulation of NK T cell activation activity vs HCST in GBM.

Explore this scatter interactively →

Exploration