FY012

Across CCLE and GDSC cell-line panels, response to FY012 is significantly associated with the protein-level pathway activity of multiple pathways, with LUNG_NSCLC_LUSC cell lines showing a particularly strong set of associations.

The most reproducible FY012 response-associated pathways across cancer lineages are rRNA 5'-end processing, Positive regulation of ATP-dependent activity, and Nuclear polyadenylation-dependent rRNA catabolic process, 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, FY012 response versus rRNA 5'-end processing protein-level pathway activity in LUNG_NSCLC_LUSC (Pearson r = 0.67).

Protein-level pathway activity biomarkers of FY012 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_LUSC	rRNA 5'-end processing →	+1.618	+0.387	.003	.023	3	9
BREAST	Positive regulation of ATP-dependent activity →	+0.244	+0.538	<.001	<.001	3	9
PANCREAS	Nuclear polyadenylation-dependent rRNA catabolic process →	+1.607	+0.583	.010	.004	3	9
PANCREAS	TRAMP-dependent tRNA surveillance pathway →	+1.607	+0.583	.010	.004	3	9
BREAST	Microtubule depolymerization →	+0.580	+0.333	.008	.035	3	9
BREAST	Branched-chain amino acid metabolic process →	-0.473	-0.567	.002	.001	3	9

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

FY012 response vs rRNA 5'-end processing — LUNG_NSCLC_LUSC

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