Sapitinib

response biomarkers — cross-omics
Drug responseDRUG → SHRNACell lineAZD8931

Across CCLE and GDSC cell-line panels, response to Sapitinib is significantly associated with the shRNA dependency of multiple gene dependencies, with LUNG_NSCLC_LUSC cell lines showing a particularly strong set of associations.

The most reproducible Sapitinib response-associated gene dependencies across cancer lineages are MEST, EGFR, and CSMD3, each associated with drug response in up to 7 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, Sapitinib response versus MEST shRNA dependency in LUNG_NSCLC_LUSC (Pearson r = -0.65).

Shrna dependency biomarkers of Sapitinib 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 gene dependencieX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
LUNG_NSCLC_LUSCMEST →-0.284-1.720.001<.00137
STOMACHEGFR →+0.623+1.255.001.00337
BONECSMD3 →-0.399-0.350.004.03237
LUNG_SCLCSTK32C →-0.208-0.443.005.00237
PANCREASPSMB5 →-0.700-0.625.001.00136
SKINELAPOR1 →-0.150-0.391.040.00436
Each biomarker links to its Q-omics profile. Showing the 6 strongest associations by consensus.

Sapitinib response vs MEST — LUNG_NSCLC_LUSC

Per-cell-line scatter of Sapitinib response vs MEST shRNA dependency in LUNG_NSCLC_LUSC.

Explore this scatter interactively →

Exploration