EGFR

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

Across TCGA patient cohorts, EGFR protein abundance is significantly associated with the RNA expression of many other genes, with 14,624 significant associations in total. BRCA shows the largest number of these associations.

The most reproducible EGFR-associated genes across cancer lineages are EGFR-AS1, SEC61G, and ATP2A3. Each is linked with EGFR in more than 8 cancer types. Because this analysis shows association rather than direction, both EGFR-to-partner and partner-to-EGFR results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, EGFR versus EGFR-AS1 in GBM, with a Pearson correlation of 0.88.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (EGFR→partner) and Y-score (partner→EGFR) 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
GBMEGFR-AS1 →+4.012+2.116<.001<.00139
GBMSEC61G →+2.457+1.423<.001<.00138
LSCCATP2A3 →-1.085-0.734<.001<.00137
BRCACAV2 →+0.976+0.640<.001<.00136
OVPPP1R13L →+1.108+0.359.001.00236
LSCCITGB8 →+1.248+0.701<.001<.00136
Each partner links to its Q-omics profile. Showing the 6 strongest of 14,624 associations by consensus.

EGFR vs EGFR-AS1 — GBM

Per-sample scatter of EGFR vs EGFR-AS1 in GBM (Pearson r = 0.88).

Explore this scatter interactively →

Exploration