Mitomycin-C

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

The most reproducible Mitomycin-C response-associated pathways across cancer lineages are Regulation of translational fidelity, U1 snRNA 3'-end processing, and U5 snRNA 3'-end processing, 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, Mitomycin-C response versus Regulation of translational fidelity protein-level pathway activity in OVARY (Pearson r = 0.53).

Protein-level pathway activity biomarkers of Mitomycin-C 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
OVARY	Regulation of translational fidelity →	+0.340	+1.037	.002	.003	3	10
UPPER_AERODIGESTIVE_TRACT	U1 snRNA 3'-end processing →	+1.068	+0.790	.005	.002	3	10
UPPER_AERODIGESTIVE_TRACT	U5 snRNA 3'-end processing →	+1.068	+0.790	.005	.002	3	10
BONE	snRNA metabolic process →	+1.277	+1.076	<.001	.013	3	9
BONE	Regulation of stress granule assembly →	+0.376	+1.410	.004	.001	3	9
LUNG_NSCLC_LUSC	Protein K48-linked ubiquitination →	+1.216	+0.791	.009	.015	3	8

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

Mitomycin-C response vs Regulation of translational fidelity — OVARY

Explore this scatter interactively →