Transdifferentiation

pathway activity — cross-omics
GO:0060290Cross-omicsPROTEIN-MS → DRUGCellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Transdifferentiation pathway is significantly associated with the drug response of multiple features, with the SKIN cohort showing a particularly strong set of associations.

The most reproducible pathway-associated features across cancer lineages are Veliparib, AZD3514, and AZD1480, each associated with the pathway in up to 1 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 box plot shows the strongest association, Veliparib grouped by Transdifferentiation-low versus -high activity in SKIN.

Pathway-associated features 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 featureX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
SKINVeliparib →-0.193-0.154.011.01231
SKINAZD3514 →-0.560-0.154.049.01231
SKINAZD1480 →-0.423-0.154.026.01231
SKINGW-2580 →-0.195-0.188.037.03421
SKINLIMK1 inhibitor BMS4 →+0.930+0.167.007.02121
SKINeEF2K Inhibitor →-0.145-0.167.032.02121
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

Veliparib by Transdifferentiation activity — SKIN

Box plot of Veliparib in Transdifferentiation-low vs -high samples in SKIN.

Explore this box plot interactively →

Exploration