EIF4G3

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

Across TCGA patient cohorts, EIF4G3 mutation is significantly associated with the RNA expression of many other genes, with 4,230 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible EIF4G3-associated genes across cancer lineages are PARP2, DLAT, and RCC1. Each is linked with EIF4G3 in more than 3 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, PARP2 grouped by EIF4G3-low versus EIF4G3-high in SKCM.

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
SKCMPARP2 →+0.478+2.816.001.00134
UCECDLAT →+0.407+1.700.001<.00134
UCECRCC1 →+0.409+2.949<.001<.00134
UCECEMC9 →+0.293+2.001.003.00234
UCECPPP1R8 →+0.338+1.925<.001<.00134
UCECLARP1B →+0.356+2.191<.001<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest of 4,230 associations by consensus.

PARP2 by EIF4G3 expression — SKCM

Box plot of PARP2 in EIF4G3-low vs EIF4G3-high samples in SKCM.

Explore this box plot interactively →

Exploration