SETD3

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

Across TCGA patient cohorts, SETD3 mutation is significantly associated with the total protein of many other genes, with 33 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible SETD3-associated genes across cancer lineages are 14-3-3_beta, eEF2, and EGFR_pY1068. Each is linked with SETD3 in more than 1 cancer types. Because this analysis shows association rather than direction, both SETD3-to-partner and partner-to-SETD3 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, 14-3-3_beta grouped by SETD3-low versus SETD3-high in UCEC.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (SETD3→partner) and Y-score (partner→SETD3) 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
UCEC14-3-3_beta →-0.137-2.558<.001.01031
UCECeEF2 →+0.371+2.321.010.03331
UCECEGFR_pY1068 →-0.277-1.906.006.01631
UCECA-Raf_pS299 →-0.105-2.000.028.03031
UCECERK2 →+0.225+1.906.003.01631
UCECFibronectin →-0.265-3.156.045.01831
Each partner links to its Q-omics profile. Showing the 6 strongest of 33 associations by consensus.

14-3-3_beta by SETD3 expression — UCEC

Box plot of 14-3-3_beta in SETD3-low vs SETD3-high samples in UCEC.

Explore this box plot interactively →

Exploration