AZD8835

response biomarkers — cross-omics
Drug responseDRUG → PROTEIN-MSCell lineSN1040214596

Across CCLE and GDSC cell-line panels, response to AZD8835 is significantly associated with the protein abundance of multiple proteins, with LUNG_SCLC cell lines showing a particularly strong set of associations.

The most reproducible AZD8835 response-associated proteins across cancer lineages are RPL4, RPL27, and RPL13A, 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, AZD8835 response versus RPL4 protein abundance in LUNG_SCLC (Pearson r = 0.52).

Protein abundance biomarkers of AZD8835 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
LUNG_SCLCRPL4 →+0.630+0.558<.001<.00139
LUNG_SCLCRPL27 →+0.582+0.513.001.00238
STOMACHRPL13A →+0.701+0.845.043.00738
CNSRPL18 →+0.588+0.411.003<.00138
SOFT_TISSUEBCL2L1 →-1.667-0.686.022.01838
OESOPHAGUSMRPL4 →+0.609+0.455.009.01137
Each biomarker links to its Q-omics profile. Showing the 6 strongest associations by consensus.

AZD8835 response vs RPL4 — LUNG_SCLC

Per-cell-line scatter of AZD8835 response vs RPL4 protein abundance in LUNG_SCLC.

Explore this scatter interactively →

Exploration