EIF2A

protein abundance — cross-omics
Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, EIF2A protein abundance is significantly associated with the RNA expression of many other genes, with 14,338 significant associations in total. LSCC shows the largest number of these associations.

The most reproducible EIF2A-associated genes across cancer lineages are MRPL3, CCDC58, and TOPBP1. Each is linked with EIF2A in more than 7 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 scatter plot shows the strongest example, EIF2A versus MRPL3 in LUAD, with a Pearson correlation of 0.53.

protein abundance 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
LUADMRPL3 →+0.484+0.279<.001<.00138
LSCCCCDC58 →+0.624+0.296<.001<.00136
LSCCTOPBP1 →+0.693+0.264<.001<.00136
LSCCMRPS22 →+0.554+0.308<.001<.00136
LUADTRIP13 →+1.259+0.303<.001<.00136
LSCCCDKN3 →+0.888+0.280<.001<.00135
Each partner links to its Q-omics profile. Showing the 6 strongest of 14,338 associations by consensus.

EIF2A vs MRPL3 — LUAD

Per-sample scatter of EIF2A vs MRPL3 in LUAD (Pearson r = 0.53).

Explore this scatter interactively →

Exploration