PD173074

response biomarkers — cross-omics
Drug responseDRUG → FUNCTION-MSCell linePD-173074, PD 173074

Across CCLE and GDSC cell-line panels, response to PD173074 is significantly associated with the protein-level pathway activity of multiple pathways, with LUNG_SCLC cell lines showing a particularly strong set of associations.

The most reproducible PD173074 response-associated pathways across cancer lineages are Sarcomere organization, Protection from non-homologous end joining at telomere, and Lipid oxidation, each associated with drug response in up to 8 lineages. Since the analysis identifies associations rather than directional relationships, both response-to-biomarker and biomarker-to-response views are provided.

Each biomarker is linked to its corresponding Q-omics profile. The scatter plot shows the strongest observed association, PD173074 response versus Sarcomere organization protein-level pathway activity in LUNG_SCLC (Pearson r = -0.39).

Protein-level pathway activity biomarkers of PD173074 response

Ranked by combined sampling and lineage consensus. X-score (response→biomarker) and Y-score (biomarker→response) are standardized regression coefficients; both directions are reported because the association is undirected. The reported p-values are derived from the association test.
LineagePartner pathwayX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
LUNG_SCLCSarcomere organization →-0.276-0.660.005.00238
STOMACHProtection from non-homologous end joining at telomere →+0.220+0.945.009.03437
BREASTLipid oxidation →-0.138-0.409.009.00737
SOFT_TISSUEProtein-lipid complex remodeling →+1.143+0.855.013.03737
SOFT_TISSUEPlasma lipoprotein particle remodeling →+1.143+0.855.013.03737
PANCREASRegulation of muscle system process →-0.215-0.488.040.00437
Each biomarker links to its Q-omics profile. Showing the 6 strongest associations by consensus.

PD173074 response vs Sarcomere organization — LUNG_SCLC

Per-cell-line scatter of PD173074 response vs Sarcomere organization protein-level pathway activity in LUNG_SCLC.

Explore this scatter interactively →

Exploration