PFI-1

response biomarkers — cross-omics
Drug responseDRUG → FUNCTION-SHRNACell line

Across CCLE and GDSC cell-line panels, response to PFI-1 is significantly associated with the shRNA pathway dependency of multiple pathways, with BLOOD_Myeloma cell lines showing a particularly strong set of associations.

The most reproducible PFI-1 response-associated pathways across cancer lineages are Iris morphogenesis, Multivesicular body organization, and Regulation of synaptic plasticity, 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, PFI-1 response versus Iris morphogenesis shRNA pathway dependency in BLOOD_Myeloma (Pearson r = 0.70).

Shrna pathway dependency biomarkers of PFI-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 pathwayX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
BLOOD_MyelomaIris morphogenesis →+1.711+0.409<.001.01138
LUNG_NSCLC_LUADMultivesicular body organization →-0.264-0.586<.001.00138
BLOOD_MyelomaRegulation of synaptic plasticity →+1.830+0.754.002.00237
SKINC21-steroid hormone metabolic process →+0.930+0.380.003.02528
BLOOD_MyelomaMembrane fission →-0.321-0.537.041.00619
LUNG_NSCLC_LUADUbiquitin-dependent protein catabolic process via the multivesicular body sorting pathway →-0.261-0.681.003<.00137
Each biomarker links to its Q-omics profile. Showing the 6 strongest associations by consensus.

PFI-1 response vs Iris morphogenesis — BLOOD_Myeloma

Per-cell-line scatter of PFI-1 response vs Iris morphogenesis shRNA pathway dependency in BLOOD_Myeloma.

Explore this scatter interactively →

Exploration