MPS-1-IN-1

response biomarkers — cross-omics
Drug responseDRUG → PROTEIN-MSCell line

Across CCLE and GDSC cell-line panels, response to MPS-1-IN-1 is significantly associated with the protein abundance of multiple proteins, with KIDNEY cell lines showing a particularly strong set of associations.

The most reproducible MPS-1-IN-1 response-associated proteins across cancer lineages are RPS25, RPA2, and ESYT2, each associated with drug response in up to 9 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, MPS-1-IN-1 response versus RPS25 protein abundance in KIDNEY (Pearson r = 0.54).

Protein abundance biomarkers of MPS-1-IN-1 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 proteinX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
KIDNEYRPS25 →+0.457+0.524.022.01439
LARGE_INTESTINERPA2 →+0.963+0.779.001.00138
BONEESYT2 →-1.013-0.852<.001<.00138
BONEARL6IP5 →-1.450-1.058<.001<.00138
LUNG_NSCLC_LUSCERP44 →+1.122+0.970.016.02137
BONEDNAJB2 →-1.578-1.218.001<.00137
Each biomarker links to its Q-omics profile. Showing the 6 strongest associations by consensus.

MPS-1-IN-1 response vs RPS25 — KIDNEY

Per-cell-line scatter of MPS-1-IN-1 response vs RPS25 protein abundance in KIDNEY.

Explore this scatter interactively →

Exploration