ERCC6L2

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

Across TCGA patient cohorts, ERCC6L2 mutation is significantly associated with the total protein of many other genes, with 52 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible ERCC6L2-associated genes across cancer lineages are eIF4E, MSH2, and STAT3_pY705. Each is linked with ERCC6L2 in more than 2 cancer types. Because this analysis shows association rather than direction, both ERCC6L2-to-partner and partner-to-ERCC6L2 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, eIF4E grouped by ERCC6L2-low versus ERCC6L2-high in UCEC.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (ERCC6L2→partner) and Y-score (partner→ERCC6L2) 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
UCECeIF4E →+0.163+2.920.006<.00133
UCECMSH2 →-0.176-1.558.006.01533
UCECSTAT3_pY705 →-0.290-1.368<.001.00633
UCECTFRC →+0.495+4.087<.001<.00133
UCECCyclin-B1 →+0.679+1.830<.001<.00133
STADRictor_pT1135 →-0.153-2.459.022.01932
Each partner links to its Q-omics profile. Showing the 6 strongest of 52 associations by consensus.

eIF4E by ERCC6L2 expression — UCEC

Box plot of eIF4E in ERCC6L2-low vs ERCC6L2-high samples in UCEC.

Explore this box plot interactively →

Exploration