Leflunomide

response biomarkers — cross-omics
Pyrimidine synthesis inhibitorDrug responseDRUG → FUNCTION-MSCell lineSulol, SU-101, HWA-486, Arava

Across CCLE and GDSC cell-line panels, response to Leflunomide 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 Leflunomide response-associated pathways across cancer lineages are mRNA transcription, Cellular response to hydroxyurea, and tRNA decay, 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, Leflunomide response versus mRNA transcription protein-level pathway activity in BONE (Pearson r = -0.51).

Protein-level pathway activity biomarkers of Leflunomide 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
BONEmRNA transcription →-0.242-0.303.001.005310
LARGE_INTESTINECellular response to hydroxyurea →+0.287+0.343.025.00739
LIVERtRNA decay →+1.849+0.504.002.01638
LUNG_NSCLC_LUSCNegative regulation of protein processing →-0.483-0.379.001.00938
LARGE_INTESTINEFree ubiquitin chain polymerization →+0.962+0.303.004.03038
BONEMembrane docking →-0.227-0.356<.001<.00138
Each biomarker links to its Q-omics profile. Showing the 6 strongest associations by consensus.

Leflunomide response vs mRNA transcription — BONE

Per-cell-line scatter of Leflunomide response vs mRNA transcription protein-level pathway activity in BONE.

Explore this scatter interactively →

Exploration