Pyrimethamine

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

The most reproducible Pyrimethamine response-associated pathways across cancer lineages are Regulation of purine nucleotide metabolic process, Regulation of nucleotide metabolic process, and Negative regulation of cytokine production, 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, Pyrimethamine response versus Regulation of purine nucleotide metabolic process protein-level pathway activity in BONE (Pearson r = -0.46).

Protein-level pathway activity biomarkers of Pyrimethamine 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	Regulation of purine nucleotide metabolic process →	-0.133	-0.874	.026	.019	3	6
BONE	Regulation of nucleotide metabolic process →	-0.133	-0.874	.026	.019	3	6
BLOOD_Myeloma	Negative regulation of cytokine production →	+0.267	+0.832	.016	.007	3	6
BREAST	Chromosome condensation →	+0.256	+0.661	.006	.012	3	6
KIDNEY	Positive regulation of calcium ion transport →	-0.413	-1.140	.006	.005	3	6
KIDNEY	Pyrimidine nucleoside metabolic process →	+0.317	+1.104	.033	.009	3	6

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

Pyrimethamine response vs Regulation of purine nucleotide metabolic process — BONE

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