EIF3K

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

Across TCGA patient cohorts, EIF3K protein abundance is significantly associated with the RNA expression of many other genes, with 11,768 significant associations in total. CCRCC shows the largest number of these associations.

The most reproducible EIF3K-associated genes across cancer lineages are NALCN, SEPTIN4, and ARHGEF9. Each is linked with EIF3K in more than 6 cancer types. Because this analysis shows association rather than direction, both EIF3K-to-partner and partner-to-EIF3K results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, EIF3K versus NALCN in GBM, with a Pearson correlation of -0.40.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (EIF3K→partner) and Y-score (partner→EIF3K) 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
GBMNALCN →-1.310-0.159<.001<.00137
CCRCCSEPTIN4 →-0.508-0.105.004.00636
HNSCARHGEF9 →-0.469-0.178.002<.00136
HNSCRAI2 →-0.875-0.227<.001<.00136
LUADSLC1A7 →-1.854-0.160<.001<.00136
OVPRKD1 →-1.048-0.273<.001<.00136
Each partner links to its Q-omics profile. Showing the 6 strongest of 11,768 associations by consensus.

EIF3K vs NALCN — GBM

Per-sample scatter of EIF3K vs NALCN in GBM (Pearson r = -0.40).

Explore this scatter interactively →

Exploration