YM201636

response biomarkers — cross-omics
Drug responseDRUG → SHRNACell lineYM-201636, YM 201636

Across CCLE and GDSC cell-line panels, response to YM201636 is significantly associated with the shRNA dependency of multiple gene dependencies, with BONE cell lines showing a particularly strong set of associations.

The most reproducible YM201636 response-associated gene dependencies across cancer lineages are OAT, TMEM104, and SH3BP5L, 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, YM201636 response versus OAT shRNA dependency in BONE (Pearson r = 0.90).

Shrna dependency biomarkers of YM201636 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
BONEOAT →+0.205+1.407.032.00337
KIDNEYTMEM104 →+0.286+0.433.012.00237
STOMACHSH3BP5L →+0.270+0.967.044.00236
PANCREASPOLR2M →+0.193+0.512.007.00736
LARGE_INTESTINECP →-0.230-0.506.011.03636
LIVERZNF142 →+0.160+1.016.031.04036
Each biomarker links to its Q-omics profile. Showing the 6 strongest associations by consensus.

YM201636 response vs OAT — BONE

Per-cell-line scatter of YM201636 response vs OAT shRNA dependency in BONE.

Explore this scatter interactively →

Exploration