PIK-93

Across CCLE and GDSC cell-line panels, response to PIK-93 is significantly associated with the pathway activity of multiple pathways, with BONE cell lines showing a particularly strong set of associations.

The most reproducible PIK-93 response-associated pathways across cancer lineages are Golgi to plasma membrane protein transport, Parathyroid gland development, and Regulation of tumor necrosis factor-mediated signaling pathway, 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, PIK-93 response versus Golgi to plasma membrane protein transport pathway activity in BONE (Pearson r = -0.52).

Pathway activity biomarkers of PIK-93 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	Golgi to plasma membrane protein transport →	-0.153	-1.125	.010	.048	3	8
LUNG_NSCLC_LUSC	Parathyroid gland development →	+1.094	+0.665	.019	.015	2	9
BLOOD_Lymphoma	Regulation of tumor necrosis factor-mediated signaling pathway →	-0.088	-0.913	<.001	<.001	3	8
BLOOD_Leukemia	Golgi to plasma membrane transport →	-0.058	-0.587	<.001	.018	3	8
BLOOD_Lymphoma	Glycosyl compound catabolic process →	-0.100	-0.967	.003	.001	3	8
LIVER	Sterol transport →	-0.090	-0.745	.033	.045	2	8

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

PIK-93 response vs Golgi to plasma membrane protein transport — BONE

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