RNF103

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

Across TCGA patient cohorts, RNF103 mutation is significantly associated with the total protein of many other genes, with 42 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible RNF103-associated genes across cancer lineages are EGFR_pY1068, eIF4E, and Annexin-1. Each is linked with RNF103 in more than 1 cancer types. Because this analysis shows association rather than direction, both RNF103-to-partner and partner-to-RNF103 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, EGFR_pY1068 grouped by RNF103-low versus RNF103-high in UCEC.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (RNF103→partner) and Y-score (partner→RNF103) 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
UCECEGFR_pY1068 →-0.259-2.321.001.00532
UCECeIF4E →+0.167+3.472.016.00232
UCECAnnexin-1 →+0.658+3.019<.001<.00132
UCEC4E-BP1 →+0.222+2.145.012.00932
UCECC-Raf →+0.145+2.321.002<.00132
UCECEGFR →-0.181-2.558<.001.01031
Each partner links to its Q-omics profile. Showing the 6 strongest of 42 associations by consensus.

EGFR_pY1068 by RNF103 expression — UCEC

Box plot of EGFR_pY1068 in RNF103-low vs RNF103-high samples in UCEC.

Explore this box plot interactively →

Exploration