"Negative regulation of CD4-positive, alpha-beta T cell differentiation"

pathway activity — cross-omics
GO:0043371Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the "Negative regulation of CD4-positive, alpha-beta T cell differentiation" 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 PRKAR1B, NFATC2, and SIGLEC9, 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 scatter plot shows the strongest association, "Negative regulation of CD4-positive, alpha-beta T cell differentiation" activity versus PRKAR1B in GBM (Pearson r = -0.31).

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
GBMPRKAR1B →-0.750-0.411<.001<.00134
COADNFATC2 →+0.545+0.338<.001.00834
GBMSIGLEC9 →+0.726+0.373<.001<.00134
GBMANK3 →-0.990-0.422<.001<.00134
GBMITGA5 →+0.625+0.340.009.00334
GBMCTSB →+0.707+0.364<.001<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0043371 vs PRKAR1B — GBM

Per-sample scatter of

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Exploration