EBF3

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

Across TCGA patient cohorts, EBF3 mutation is significantly associated with the total protein of many other genes, with 43 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible EBF3-associated genes across cancer lineages are eIF4E, ERK2, and p70-S6K_pT389. Each is linked with EBF3 in more than 2 cancer types. Because this analysis shows association rather than direction, both EBF3-to-partner and partner-to-EBF3 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, eIF4E grouped by EBF3-low versus EBF3-high in SKCM.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (EBF3→partner) and Y-score (partner→EBF3) 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
SKCMeIF4E →+0.179+2.000.024.03133
UCECERK2 →+0.142+3.321.017.00933
SKCMp70-S6K_pT389 →-0.147-2.000.046.03132
SKCMPCNA →+0.226+2.000.008.03123
SKCMcIAP →+0.210+2.700.001.00632
UCECMEK1 →+0.291+1.925.010.00432
Each partner links to its Q-omics profile. Showing the 6 strongest of 43 associations by consensus.

eIF4E by EBF3 expression — SKCM

Box plot of eIF4E in EBF3-low vs EBF3-high samples in SKCM.

Explore this box plot interactively →

Exploration