WHI-P97

Across CCLE and GDSC cell-line panels, response to WHI-P97 is significantly associated with the shRNA dependency of multiple gene dependencies, with LUNG_SCLC cell lines showing a particularly strong set of associations.

The most reproducible WHI-P97 response-associated gene dependencies across cancer lineages are EIF4G2, GRID1, and HMGCLL1, 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, WHI-P97 response versus EIF4G2 shRNA dependency in LUNG_SCLC (Pearson r = -0.46).

Shrna dependency biomarkers of WHI-P97 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.

Lineage	Partner gene dependencie	X-score	Y-score	p(X)	p(Y)	Sampling consensus	Lineage consensus
LUNG_SCLC	EIF4G2 →	-0.450	-0.445	.010	.024	3	7
BONE	GRID1 →	+0.210	+1.206	.013	.002	3	7
UPPER_AERODIGESTIVE_TRACT	HMGCLL1 →	+0.263	+0.870	.030	.008	3	6
BLOOD_Myeloma	ATF7IP2 →	+0.279	+0.283	.043	.038	3	6
BLOOD_Myeloma	CPNE3 →	-0.460	-0.283	.004	.038	3	6
LUNG_SCLC	BAK1 →	+0.168	+0.628	.002	.003	3	6

Each biomarker links to its Q-omics profile. Showing the 6 strongest associations by consensus.

WHI-P97 response vs EIF4G2 — LUNG_SCLC

Explore this scatter interactively →