SETDB2

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

Across TCGA patient cohorts, SETDB2 mutation is significantly associated with the RNA expression of many other genes, with 1,291 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible SETDB2-associated genes across cancer lineages are ELOCP33, RNU6-700P, and CARS1. Each is linked with SETDB2 in more than 1 cancer types. Because this analysis shows association rather than direction, both SETDB2-to-partner and partner-to-SETDB2 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, ELOCP33 grouped by SETDB2-low versus SETDB2-high in SKCM.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (SETDB2→partner) and Y-score (partner→SETDB2) 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
SKCMELOCP33 →+0.093+2.838<.001.00432
LUADRNU6-700P →+0.321+4.859<.001.00432
UCECCARS1 →+0.350+1.484<.001.00432
UCECDPM2 →+0.285+2.545.003<.00132
UCECNTMT1 →+0.493+2.222<.001<.00132
SKCMMIR548S →+0.171+4.186<.001.00732
Each partner links to its Q-omics profile. Showing the 6 strongest of 1,291 associations by consensus.

ELOCP33 by SETDB2 expression — SKCM

Box plot of ELOCP33 in SETDB2-low vs SETDB2-high samples in SKCM.

Explore this box plot interactively →

Exploration