Mitomycin-C

response biomarkers — cross-omics
DNA crosslinkerDrug responseDRUG → FUNCTION-RNACell lineMytozytrex, NSC-26980, MMC, Mitosol, Mitozytrex

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

The most reproducible Mitomycin-C response-associated pathways across cancer lineages are IMP metabolic process, Heparan sulfate proteoglycan catabolic process, and Autophagosome maturation, 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 IMP metabolic process pathway activity in KIDNEY (Pearson r = 0.51).

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.
LineagePartner pathwayX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
KIDNEYIMP metabolic process →+0.168+1.535.026.001310
BONEHeparan sulfate proteoglycan catabolic process →-0.233-2.137<.001.00739
BREASTAutophagosome maturation →-0.071-0.721<.001<.00139
SOFT_TISSUEEndosomal transport →-0.042-0.923.010.00229
LIVERRegulation of transforming growth factor beta1 production →-0.244-0.591.001.01938
OVARYProteoglycan catabolic process →-0.209-0.863.001.00338
Each biomarker links to its Q-omics profile. Showing the 6 strongest associations by consensus.

Mitomycin-C response vs IMP metabolic process — KIDNEY

Per-cell-line scatter of Mitomycin-C response vs IMP metabolic process pathway activity in KIDNEY.

Explore this scatter interactively →

Exploration