AZD2014

Across CCLE and GDSC cell-line panels, response to AZD2014 is significantly associated with the protein-level pathway activity of multiple pathways, with BLOOD_Lymphoma cell lines showing a particularly strong set of associations.

The most reproducible AZD2014 response-associated pathways across cancer lineages are tRNA surveillance, Pre-mRNA catabolic process, and Positive regulation of cyclase activity, 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, AZD2014 response versus tRNA surveillance protein-level pathway activity in BLOOD_Lymphoma (Pearson r = 0.37).

Protein-level pathway activity biomarkers of AZD2014 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
BLOOD_Lymphoma	tRNA surveillance →	+1.220	+0.620	.004	.001	3	8
PANCREAS	Pre-mRNA catabolic process →	+1.291	+0.691	.001	.010	3	7
URINARY_TRACT	Positive regulation of cyclase activity →	-0.286	-0.823	.009	.031	1	9
LUNG_SCLC	Ribosome biogenesis →	+0.256	+0.943	.003	.001	3	7
OVARY	Positive regulation of glycoprotein metabolic process →	-0.231	-0.901	.024	.001	2	8
BLOOD_Lymphoma	U1 snRNA 3'-end processing →	+0.904	+0.523	.010	.012	3	7

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

AZD2014 response vs tRNA surveillance — BLOOD_Lymphoma

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