EIF4G3

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

Across TCGA patient cohorts, EIF4G3 mutation is significantly associated with the total protein of many other genes, with 44 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible EIF4G3-associated genes across cancer lineages are PREX1, DJ-1, and PCNA. Each is linked with EIF4G3 in more than 2 cancer types. Because this analysis shows association rather than direction, both EIF4G3-to-partner and partner-to-EIF4G3 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, PREX1 grouped by EIF4G3-low versus EIF4G3-high in COAD.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (EIF4G3→partner) and Y-score (partner→EIF4G3) 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
COADPREX1 →+0.208+2.820.042.03533
COADDJ-1 →+0.202+3.178.027.01033
UCECPCNA →+0.208+1.678<.001<.00133
UCEC4E-BP1 →+0.224+1.614.002.00533
BLCAp38-MAPK_pT180_Y182 →-0.570-1.807<.001.02632
COADEGFR →-0.187-3.161.037.01932
Each partner links to its Q-omics profile. Showing the 6 strongest of 44 associations by consensus.

PREX1 by EIF4G3 expression — COAD

Box plot of PREX1 in EIF4G3-low vs EIF4G3-high samples in COAD.

Explore this box plot interactively →

Exploration