ZL109

Across CCLE and GDSC cell-line panels, response to ZL109 is significantly associated with the shRNA pathway dependency of multiple pathways, with BONE cell lines showing a particularly strong set of associations.

The most reproducible ZL109 response-associated pathways across cancer lineages are Regulation of ATPase-coupled calcium transmembrane transporter activity, Gas transport, and Negative regulation of translation, 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, ZL109 response versus Regulation of ATPase-coupled calcium transmembrane transporter activity shRNA pathway dependency in BONE (Pearson r = 0.81).

Shrna pathway dependency biomarkers of ZL109 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 pathway	X-score	Y-score	p(X)	p(Y)	Sampling consensus	Lineage consensus
BONE	Regulation of ATPase-coupled calcium transmembrane transporter activity →	+1.614	+0.454	<.001	.017	3	8
LUNG_NSCLC_LUSC	Gas transport →	-2.295	-0.963	<.001	<.001	3	7
UPPER_AERODIGESTIVE_TRACT	Negative regulation of translation →	+0.186	+0.362	.045	.041	3	7
SKIN	Amyloid-beta formation →	-1.237	-0.316	.007	.044	2	8
LUNG_NSCLC_LUSC	Manganese ion transmembrane transport →	-0.934	-0.637	.037	.003	3	7
SOFT_TISSUE	Sensory perception of itch →	-1.572	-0.363	<.001	.040	3	7

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

ZL109 response vs Regulation of ATPase-coupled calcium transmembrane transporter activity — BONE

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