ENOPH1

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

Across TCGA patient cohorts, ENOPH1 protein abundance is significantly associated with the RNA expression of many other genes, with 12,062 significant associations in total. PDAC shows the largest number of these associations.

The most reproducible ENOPH1-associated genes across cancer lineages are C17orf113, CCNG2, and HELQ. Each is linked with ENOPH1 in more than 4 cancer types. Because this analysis shows association rather than direction, both ENOPH1-to-partner and partner-to-ENOPH1 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, ENOPH1 versus C17orf113 in GBM, with a Pearson correlation of 0.45.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (ENOPH1→partner) and Y-score (partner→ENOPH1) 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
GBMC17orf113 →+0.622+0.352<.001<.00135
BRCACCNG2 →+0.855+0.292<.001<.00135
OVHELQ →+0.508+0.344<.001<.00135
BRCATAPT1 →+0.888+0.418<.001<.00135
BRCALIN54 →+0.673+0.305<.001<.00135
BRCACOPS4 →+0.543+0.318<.001<.00135
Each partner links to its Q-omics profile. Showing the 6 strongest of 12,062 associations by consensus.

ENOPH1 vs C17orf113 — GBM

Per-sample scatter of ENOPH1 vs C17orf113 in GBM (Pearson r = 0.45).

Explore this scatter interactively →

Exploration