Salubrinal

response biomarkers — cross-omics
Drug responseDRUG → MUTATIONCell lineEIF-2alpha Inhibitor

Across CCLE and GDSC cell-line panels, response to Salubrinal is significantly associated with the mutation status of multiple genes, with LUNG_SCLC cell lines showing a particularly strong set of associations.

The most reproducible Salubrinal response-associated genes across cancer lineages are RYR3, BIRC6, and GIGYF1, each associated with drug response in up to 2 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 box plot shows the strongest observed association, Salubrinal response grouped by RYR3 status in LUNG_SCLC.

Mutation status biomarkers of Salubrinal 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 geneX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
LUNG_SCLCRYR3 →+2.736+0.257.019.04832
BLOOD_LymphomaBIRC6 →+2.999+0.385.024.01231
BLOOD_LymphomaGIGYF1 →+2.885+0.338.018.02931
BLOOD_LymphomaADAMTSL3 →+2.662+0.310.042.04631
BLOOD_LymphomaTNRC18 →+2.807+0.277.032.03931
BLOOD_LymphomaEPB41L3 →+2.662+0.338.042.02931
Each biomarker links to its Q-omics profile. Showing the 6 strongest associations by consensus.

Salubrinal response by RYR3 status — LUNG_SCLC

Box plot of Salubrinal response in RYR3-mutant vs wild-type cell lines in LUNG_SCLC.

Explore this box plot interactively →

Exploration