EIF4E3

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

Across TCGA patient cohorts, EIF4E3 mutation is significantly associated with the RNA expression of many other genes, with 374 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible EIF4E3-associated genes across cancer lineages are SEC61GP1, EML2-AS1, and PSMC1P8. Each is linked with EIF4E3 in more than 1 cancer types. Because this analysis shows association rather than direction, both EIF4E3-to-partner and partner-to-EIF4E3 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, SEC61GP1 grouped by EIF4E3-low versus EIF4E3-high in UCEC.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (EIF4E3→partner) and Y-score (partner→EIF4E3) 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
UCECSEC61GP1 →+0.309+2.775.007.00232
UCECEML2-AS1 →+0.113+2.270<.001.00432
BLCAPSMC1P8 →+0.050+4.331<.001.00731
BLCAOR7E105P →+0.094+4.605.009.00431
BLCAACTR3BP1 →+0.032+6.632<.001<.00131
BLCAMIR6089 →+0.407+5.147<.001.00331
Each partner links to its Q-omics profile. Showing the 6 strongest of 374 associations by consensus.

SEC61GP1 by EIF4E3 expression — UCEC

Box plot of SEC61GP1 in EIF4E3-low vs EIF4E3-high samples in UCEC.

Explore this box plot interactively →

Exploration