EIF2B4

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

Across TCGA patient cohorts, EIF2B4 mutation is significantly associated with the RNA expression of many other genes, with 1,513 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible EIF2B4-associated genes across cancer lineages are RN7SL553P, RNU6-1313P, and SNORD116-23. Each is linked with EIF2B4 in more than 2 cancer types. Because this analysis shows association rather than direction, both EIF2B4-to-partner and partner-to-EIF2B4 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, RN7SL553P grouped by EIF2B4-low versus EIF2B4-high in COAD.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (EIF2B4→partner) and Y-score (partner→EIF2B4) 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
COADRN7SL553P →+0.284+4.392<.001.00633
BRCARNU6-1313P →+0.536+5.195<.001<.00132
BRCASNORD116-23 →+0.517+3.924<.001.00632
UCECFAXDC2 →-0.712-2.700<.001.00632
UCECPXMP2 →+0.621+2.180.002.00232
UCECTRAJ48 →+0.562+1.752<.001.00732
Each partner links to its Q-omics profile. Showing the 6 strongest of 1,513 associations by consensus.

RN7SL553P by EIF2B4 expression — COAD

Box plot of RN7SL553P in EIF2B4-low vs EIF2B4-high samples in COAD.

Explore this box plot interactively →

Exploration