JQ1

response biomarkers — cross-omics
Drug responseDRUG → MUTATIONCell lineJQ-1, (+)-JQ-1

Across CCLE and GDSC cell-line panels, response to JQ1 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 JQ1 response-associated genes across cancer lineages are ACAN, MYO18B, and TP53, each associated with drug response in up to 3 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, JQ1 response grouped by ACAN status in LUNG_SCLC.

Mutation status biomarkers of JQ1 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_SCLCACAN →-3.115-0.754.011.01033
STOMACHMYO18B →-2.807-0.840.015.00333
BLOOD_MyelomaTP53 →-1.614-1.031.040.03832
KIDNEYMUC16 →-2.807-0.631.010.00432
SKINDNAH3 →+2.169+0.501.018.00932
SKINFAT4 →+3.169+0.463.004.01032
Each biomarker links to its Q-omics profile. Showing the 6 strongest associations by consensus.

JQ1 response by ACAN status — LUNG_SCLC

Box plot of JQ1 response in ACAN-mutant vs wild-type cell lines in LUNG_SCLC.

Explore this box plot interactively →

Exploration