EIF2A

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

Across TCGA patient cohorts, EIF2A mutation is significantly associated with the RNA expression of many other genes, with 1,358 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible EIF2A-associated genes across cancer lineages are RNU1-17P, PSAT1P4, and RNU1-78P. Each is linked with EIF2A in more than 1 cancer types. Because this analysis shows association rather than direction, both EIF2A-to-partner and partner-to-EIF2A results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, RNU1-17P grouped by EIF2A-low versus EIF2A-high in UCEC.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (EIF2A→partner) and Y-score (partner→EIF2A) 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
UCECRNU1-17P →+0.199+2.613<.001<.00132
UCECPSAT1P4 →+0.162+1.978<.001.00132
BLCARNU1-78P →+0.292+6.018<.001.00232
HNSCSNORD116-7 →+0.469+6.008<.001.00232
SCLCG6PC2 →+0.072+5.189<.001.00631
BLCAARHGAP42P4 →+0.025+5.788<.001.00331
Each partner links to its Q-omics profile. Showing the 6 strongest of 1,358 associations by consensus.

RNU1-17P by EIF2A expression — UCEC

Box plot of RNU1-17P in EIF2A-low vs EIF2A-high samples in UCEC.

Explore this box plot interactively →

Exploration