Talazoparib

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

The most reproducible Talazoparib response-associated pathways across cancer lineages are Regulation of rRNA processing, Protein targeting, and Response to redox state, 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, Talazoparib response versus Regulation of rRNA processing shRNA pathway dependency in LUNG_NSCLC_LUAD (Pearson r = 0.36).

Shrna pathway dependency biomarkers of Talazoparib 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
LUNG_NSCLC_LUAD	Regulation of rRNA processing →	+0.111	+0.420	.011	.020	3	7
SKIN	Protein targeting →	-0.222	-0.802	.008	.019	3	7
STOMACH	Response to redox state →	+1.216	+0.855	.030	.007	3	7
SOFT_TISSUE	Regulation of blood volume by renin-angiotensin →	+2.083	+2.030	.001	.021	3	6
URINARY_TRACT	Regulation of synaptic vesicle transport →	-1.919	-0.549	<.001	.016	3	6
URINARY_TRACT	Positive regulation of monocyte extravasation →	-2.102	-0.913	<.001	.015	3	6

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

Talazoparib response vs Regulation of rRNA processing — LUNG_NSCLC_LUAD

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