A-366

response biomarkers — cross-omics
Drug responseDRUG → SHRNACell line

Across CCLE and GDSC cell-line panels, response to A-366 is significantly associated with the shRNA dependency of multiple gene dependencies, with CNS cell lines showing a particularly strong set of associations.

The most reproducible A-366 response-associated gene dependencies across cancer lineages are B3GALT4, C1QBP, and USF2, 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, A-366 response versus B3GALT4 shRNA dependency in CNS (Pearson r = -0.71).

Shrna dependency biomarkers of A-366 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
CNSB3GALT4 →-0.198-0.589.012.02938
URINARY_TRACTC1QBP →+0.222+0.493.035.02437
BLOOD_LeukemiaUSF2 →+0.254+0.532.001.02237
BONENEB →+0.165+0.372.003.01436
BLOOD_LymphomaNDUFA3 →+0.450+0.563.020.04036
STOMACHGJB3 →-0.171-0.422.049.01927
Each biomarker links to its Q-omics profile. Showing the 6 strongest associations by consensus.

A-366 response vs B3GALT4 — CNS

Per-cell-line scatter of A-366 response vs B3GALT4 shRNA dependency in CNS.

Explore this scatter interactively →

Exploration