EIF2AK3

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

Across TCGA patient cohorts, EIF2AK3 protein abundance is significantly associated with the RNA expression of many other genes, with 8,734 significant associations in total. LUAD shows the largest number of these associations.

The most reproducible EIF2AK3-associated genes across cancer lineages are ZCCHC24, DPYSL2, and IFFO1. Each is linked with EIF2AK3 in more than 3 cancer types. Because this analysis shows association rather than direction, both EIF2AK3-to-partner and partner-to-EIF2AK3 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, EIF2AK3 versus ZCCHC24 in LUAD, with a Pearson correlation of -0.37.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (EIF2AK3→partner) and Y-score (partner→EIF2AK3) 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
LUADZCCHC24 →-0.589-0.371<.001<.00134
LSCCDPYSL2 →-0.557-0.291.001<.00134
LUADIFFO1 →-0.526-0.422<.001<.00133
LUADNOD1 →-0.476-0.287<.001<.00133
GBMSEPTIN4 →-0.936-0.238<.001<.00133
GBMRASGRF2 →-0.689-0.279<.001<.00133
Each partner links to its Q-omics profile. Showing the 6 strongest of 8,734 associations by consensus.

EIF2AK3 vs ZCCHC24 — LUAD

Per-sample scatter of EIF2AK3 vs ZCCHC24 in LUAD (Pearson r = -0.37).

Explore this scatter interactively →

Exploration