EIF3IP1

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

Across TCGA patient cohorts, EIF3IP1 mutation is significantly associated with the RNA expression of many other genes, with 267 significant associations in total. SKCM shows the largest number of these associations.

The most reproducible EIF3IP1-associated genes across cancer lineages are RNU6-1313P, RNY4P14, and MIR554. Each is linked with EIF3IP1 in more than 2 cancer types. Because this analysis shows association rather than direction, both EIF3IP1-to-partner and partner-to-EIF3IP1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, RNU6-1313P grouped by EIF3IP1-low versus EIF3IP1-high in LUAD.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (EIF3IP1→partner) and Y-score (partner→EIF3IP1) 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
LUADRNU6-1313P →+0.254+3.121<.001.00833
UCECRNY4P14 →+0.277+4.400<.001.00632
LUADMIR554 →+0.913+4.051<.001<.00132
UCECRNU6-1228P →+0.394+5.634<.001<.00132
UCECCYCSP26 →+0.232+3.884<.001.00332
LUADKRTAP12-3 →+0.040+4.093<.001.00132
Each partner links to its Q-omics profile. Showing the 6 strongest of 267 associations by consensus.

RNU6-1313P by EIF3IP1 expression — LUAD

Box plot of RNU6-1313P in EIF3IP1-low vs EIF3IP1-high samples in LUAD.

Explore this box plot interactively →

Exploration