PLK_6522

response biomarkers — cross-omics
Drug responseDRUG → SHRNACell lineSN1077317349

Across CCLE and GDSC cell-line panels, response to PLK_6522 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 PLK_6522 response-associated gene dependencies across cancer lineages are PPM1G, CTNNBL1, and POLR2M, each associated with drug response in up to 9 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, PLK_6522 response versus PPM1G shRNA dependency in LUNG_NSCLC_LUSC (Pearson r = -0.76).

Shrna dependency biomarkers of PLK_6522 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_LUSCPPM1G →-0.340-0.830.032.03839
CNSCTNNBL1 →+0.520+0.910.011.00538
LUNG_NSCLC_LUSCPOLR2M →+0.283+0.742.031.02729
OVARYNDST2 →-0.221-0.878.023.00829
KIDNEYKDR →-0.212-0.952.001.02037
SKINAZIN2 →-0.245-0.886.014.02937
Each biomarker links to its Q-omics profile. Showing the 6 strongest associations by consensus.

PLK_6522 response vs PPM1G — LUNG_NSCLC_LUSC

Per-cell-line scatter of PLK_6522 response vs PPM1G shRNA dependency in LUNG_NSCLC_LUSC.

Explore this scatter interactively →

Exploration