CCDC103

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

Across TCGA patient cohorts, CCDC103 mutation is significantly associated with the total protein of many other genes, with 31 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible CCDC103-associated genes across cancer lineages are EGFR_pY1068, eIF4G, and ERK2. Each is linked with CCDC103 in more than 1 cancer types. Because this analysis shows association rather than direction, both CCDC103-to-partner and partner-to-CCDC103 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, EGFR_pY1068 grouped by CCDC103-low versus CCDC103-high in UCEC.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (CCDC103→partner) and Y-score (partner→CCDC103) 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 →-0.238-2.584.025.01031
UCECeIF4G →+0.303+2.321.021.03431
UCECERK2 →+0.179+1.700.028.04431
UCECFOXO3a_pS318_S321 →-0.133-3.449.012.00531
UCECJNK_pT183_Y185 →-0.224-3.459.001.00531
UCECJNK2 →+0.309+3.469<.001.00231
Each partner links to its Q-omics profile. Showing the 6 strongest of 31 associations by consensus.

EGFR_pY1068 by CCDC103 expression — UCEC

Box plot of EGFR_pY1068 in CCDC103-low vs CCDC103-high samples in UCEC.

Explore this box plot interactively →

Exploration