SETDB1

mutation — cross-omics
Cross-omicsMUTATION → PROTEIN-RPPAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, SETDB1 mutation is significantly associated with the total protein of many other genes, with 34 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible SETDB1-associated genes across cancer lineages are 4E-BP1_pT37_T46, eIF4E, and IGFBP2. Each is linked with SETDB1 in more than 2 cancer types. Because this analysis shows association rather than direction, both SETDB1-to-partner and partner-to-SETDB1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, 4E-BP1_pT37_T46 grouped by SETDB1-low versus SETDB1-high in SKCM.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (SETDB1→partner) and Y-score (partner→SETDB1) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.
LineagePartner geneX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
SKCM4E-BP1_pT37_T46 →-0.524-3.000.023.03633
UCECeIF4E →+0.147+2.515.011<.00132
UCECIGFBP2 →-0.650-2.392<.001<.00132
UCECRad50 →-0.138-1.369.038.00332
UCECASNS →+0.340+1.353<.001.01332
UCECATM →-0.424-1.369<.001.00332
Each partner links to its Q-omics profile. Showing the 6 strongest of 34 associations by consensus.

4E-BP1_pT37_T46 by SETDB1 expression — SKCM

Box plot of 4E-BP1_pT37_T46 in SETDB1-low vs SETDB1-high samples in SKCM.

Explore this box plot interactively →

Exploration