667880

response biomarkers — cross-omics
Drug responseDRUG → FUNCTION-SHRNACell line

Across CCLE and GDSC cell-line panels, response to 667880 is significantly associated with the shRNA pathway dependency of multiple pathways, with LIVER cell lines showing a particularly strong set of associations.

The most reproducible 667880 response-associated pathways across cancer lineages are Apoptotic cell clearance, Negative regulation of type I interferon production, and Pyruvate decarboxylation to acetyl-CoA, 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, 667880 response versus Apoptotic cell clearance shRNA pathway dependency in LIVER (Pearson r = -0.36).

Shrna pathway dependency biomarkers of 667880 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
LIVERApoptotic cell clearance →-1.515-1.113.048.04328
URINARY_TRACTNegative regulation of type I interferon production →-0.200-0.983.046.03137
LIVERPyruvate decarboxylation to acetyl-CoA →+1.751+1.019<.001.00537
LIVERBiological process involved in symbiotic interaction →-0.215-0.892.036.02337
PANCREASRegulation of T cell migration →-1.362-0.804<.001.00336
SKINRegulation of lamellipodium assembly →-0.599-0.595.015.01536
Each biomarker links to its Q-omics profile. Showing the 6 strongest associations by consensus.

667880 response vs Apoptotic cell clearance — LIVER

Per-cell-line scatter of 667880 response vs Apoptotic cell clearance shRNA pathway dependency in LIVER.

Explore this scatter interactively →

Exploration