Regulation of response to drug

pathway activity — cross-omics
GO:2001023Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Regulation of response to drug pathway is significantly associated with the RNA expression of multiple genes, with the PDAC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are BACH1, GLMP, and GAPDHP16, 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, Regulation of response to drug activity versus BACH1 in PDAC (Pearson r = 0.11).

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
PDACBACH1 →+0.685+0.185<.001<.00134
HNSCGLMP →-0.565-0.067.006.00833
LSCCGAPDHP16 →+0.435+1.065.003<.00133
UCECZBTB1 →+0.582+1.217.002<.00133
UCECNCOA2 →+0.410+0.794.003.00133
UCECWDFY3 →+0.525+0.783.008.00133
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:2001023 vs BACH1 — PDAC

Per-sample scatter of Regulation of response to drug activity vs BACH1 in PDAC.

Explore this scatter interactively →

Exploration