EGF

RNA expression — cross-omics
Cross-omicsRNA → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, EGF RNA expression is significantly associated with the RNA expression of many other genes, with 16,878 significant associations in total. UVM shows the largest number of these associations.

The most reproducible EGF-associated genes across cancer lineages are RNU6-35P, GCLM, and USP38. Each is linked with EGF in more than 23 cancer types. Because this analysis shows association rather than direction, both EGF-to-partner and partner-to-EGF results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, EGF versus RNU6-35P in KICH, with a Pearson correlation of 0.54.

RNA expression associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (EGF→partner) and Y-score (partner→EGF) 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
KICHRNU6-35P →+0.516+1.472<.001<.001324
LUSCGCLM →+1.440+0.985<.001<.001324
ACCUSP38 →+1.063+0.788<.001.001323
ESCAFYTTD1 →+0.786+0.672<.001<.001323
UVMMEF2A →+0.824+0.542<.001<.001323
UCSUBR3 →+1.020+0.749.001<.001322
Each partner links to its Q-omics profile. Showing the 6 strongest of 16,878 associations by consensus.

EGF vs RNU6-35P — KICH

Per-sample scatter of EGF vs RNU6-35P in KICH (Pearson r = 0.54).

Explore this scatter interactively →

Exploration