EIF3A

RNA expression — cross-omics
Cross-omicsRNA → RNACell-linePairwise association · TCGA cohorts

Across TCGA cell cohorts, EIF3A RNA expression is significantly associated with the RNA expression of many other genes, with 10,773 significant associations in total. BLOOD_Lymphoma shows the largest number of these associations.

The most reproducible EIF3A-associated genes across cancer lineages are VTI1A, PPRC1, and ATE1. Each is linked with EIF3A in more than 19 cancer types. Because this analysis shows association rather than direction, both EIF3A-to-partner and partner-to-EIF3A results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, EIF3A versus VTI1A in BLOOD_Myeloma, with a Pearson correlation of 0.71.

RNA expression associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (EIF3A→partner) and Y-score (partner→EIF3A) 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
BLOOD_MyelomaVTI1A →+1.266+1.211<.001<.001320
BONEPPRC1 →+1.176+0.853<.001<.001319
BLOOD_MyelomaATE1 →+1.434+1.189<.001<.001218
BLOOD_MyelomaSMNDC1 →+1.215+1.085<.001<.001317
UPPER_AERODIGESTIVE_TRACTTIAL1 →+0.786+0.789<.001<.001317
KIDNEYDDX21 →+1.147+0.806<.001.001317
Each partner links to its Q-omics profile. Showing the 6 strongest of 10,773 associations by consensus.

EIF3A vs VTI1A — BLOOD_Myeloma

Per-sample scatter of EIF3A vs VTI1A in BLOOD_Myeloma (Pearson r = 0.71).

Explore this scatter interactively →

Exploration