AZD1480

Across CCLE and GDSC cell-line panels, response to AZD1480 is significantly associated with the shRNA pathway dependency of multiple pathways, with CNS cell lines showing a particularly strong set of associations.

The most reproducible AZD1480 response-associated pathways across cancer lineages are Negative regulation of lymphocyte activation, Regulation of coagulation, and Regulation of cardiac epithelial to mesenchymal transition, 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, AZD1480 response versus Negative regulation of lymphocyte activation shRNA pathway dependency in CNS (Pearson r = -0.44).

Shrna pathway dependency biomarkers of AZD1480 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
CNS	Negative regulation of lymphocyte activation →	-0.204	-0.278	.007	.040	3	7
BONE	Regulation of coagulation →	+1.510	+0.519	<.001	.043	3	6
LUNG_NSCLC_LUSC	Regulation of cardiac epithelial to mesenchymal transition →	+1.606	+0.440	.026	.011	3	6
SOFT_TISSUE	tRNA aminoacylation for protein translation →	-0.184	-0.656	.005	.026	3	6
SKIN	Cannabinoid signaling pathway →	+1.209	+0.473	.004	.001	3	6
SKIN	Protein targeting →	-0.137	-0.416	.044	.001	3	6

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

AZD1480 response vs Negative regulation of lymphocyte activation — CNS

Explore this scatter interactively →