Lapatinib

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

The most reproducible Lapatinib response-associated pathways across cancer lineages are Negative regulation of macrophage chemotaxis, Glycolipid catabolic process, and Regulation of substrate adhesion-dependent cell spreading, each associated with drug response in up to 10 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, Lapatinib response versus Negative regulation of macrophage chemotaxis pathway activity in LUNG_SCLC (Pearson r = 0.52).

Pathway activity biomarkers of Lapatinib 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_SCLC	Negative regulation of macrophage chemotaxis →	+0.160	+0.736	<.001	<.001	3	10
LUNG_SCLC	Glycolipid catabolic process →	-0.129	-0.693	<.001	<.001	3	9
BONE	Regulation of substrate adhesion-dependent cell spreading →	-0.093	-0.435	.007	.016	3	8
LUNG_SCLC	Response to genistein →	-1.548	-0.623	<.001	.007	3	8
LUNG_SCLC	Glycoprotein biosynthetic process →	-0.033	-0.712	.005	.001	3	8
UPPER_AERODIGESTIVE_TRACT	Negative regulation of immunoglobulin production →	+0.198	+0.506	.007	.008	3	8

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

Lapatinib response vs Negative regulation of macrophage chemotaxis — LUNG_SCLC

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