EIF2B5

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

Across TCGA patient cohorts, EIF2B5 mutation is significantly associated with the RNA expression of many other genes, with 3,485 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible EIF2B5-associated genes across cancer lineages are EEF1E1-BLOC1S5, RNU7-26P, and OXA1L. Each is linked with EIF2B5 in more than 2 cancer types. Because this analysis shows association rather than direction, both EIF2B5-to-partner and partner-to-EIF2B5 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, EEF1E1-BLOC1S5 grouped by EIF2B5-low versus EIF2B5-high in SKCM.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (EIF2B5→partner) and Y-score (partner→EIF2B5) 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
SKCMEEF1E1-BLOC1S5 →+0.062+3.766<.001.00533
SKCMRNU7-26P →+0.504+3.490<.001.00833
UCECOXA1L →+0.399+2.736<.001<.00132
UCECABHD3 →+0.798+3.403<.001<.00132
UCECENTR1 →+0.427+3.716.001<.00132
UCECMTMR10 →+0.476+3.413<.001<.00132
Each partner links to its Q-omics profile. Showing the 6 strongest of 3,485 associations by consensus.

EEF1E1-BLOC1S5 by EIF2B5 expression — SKCM

Box plot of EEF1E1-BLOC1S5 in EIF2B5-low vs EIF2B5-high samples in SKCM.

Explore this box plot interactively →

Exploration