"Regulation of CD4-positive, alpha-beta T cell differentiation"

pathway activity — cross-omics
GO:0043370Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the "Regulation of CD4-positive, alpha-beta T cell differentiation" pathway is significantly associated with the protein abundance of multiple proteins, with the GBM cohort showing a particularly strong set of associations.

The most reproducible pathway-associated proteins across cancer lineages are RCSD1, SAMSN1_S107, and SAMSN1_S23, each associated with the pathway in up to 10 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 CD4-positive, alpha-beta T cell differentiation" activity versus RCSD1 in GBM (Pearson r = 0.77).

Pathway-associated proteins 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 proteinX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
GBMRCSD1 →+0.577+0.105<.001<.001310
OVSAMSN1_S107 →+0.831+0.030<.001<.001310
LSCCSAMSN1_S23 →+0.744+0.055<.001<.001310
GBMSASH3 →+0.562+0.114<.001<.001310
BRCASERPINB9 →+0.505+0.042<.001<.001310
GBMSKAP2 →+0.820+0.109<.001<.001310
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0043370 vs RCSD1 — GBM

Per-sample scatter of

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Exploration