Linsitinib

response biomarkers — cross-omics
Drug responseDRUG → FUNCTION-RNACell lineOSI-906, ASP-7487

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

The most reproducible Linsitinib response-associated pathways across cancer lineages are Wound healing, 'de novo' UMP biosynthetic process, and Maintenance of location, 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, Linsitinib response versus Wound healing pathway activity in SOFT_TISSUE (Pearson r = -0.54).

Pathway activity biomarkers of Linsitinib 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
SOFT_TISSUEWound healing →-0.097-0.822.004.011310
BLOOD_Leukemia'de novo' UMP biosynthetic process →+0.058+0.283.001.00739
LIVERMaintenance of location →-0.078-0.830.049.00239
BONECleavage in ITS2 between 5.8S rRNA and LSU-rRNA of tricistronic rRNA transcript (SSU-rRNA, 5.8S rRNA, LSU-rRNA) →+0.177+0.804.001.00339
KIDNEYPositive regulation of protein exit from endoplasmic reticulum →-0.173-0.791.012.01639
CNSMaintenance of protein location →-0.120-0.764.001<.00139
Each biomarker links to its Q-omics profile. Showing the 6 strongest associations by consensus.

Linsitinib response vs Wound healing — SOFT_TISSUE

Per-cell-line scatter of Linsitinib response vs Wound healing pathway activity in SOFT_TISSUE.

Explore this scatter interactively →

Exploration