PCGF6

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

Across TCGA patient cohorts, PCGF6 mutation is significantly associated with the total protein of many other genes, with 29 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible PCGF6-associated genes across cancer lineages are 14-3-3_beta, eEF2, and EGFR_pY1068. Each is linked with PCGF6 in more than 1 cancer types. Because this analysis shows association rather than direction, both PCGF6-to-partner and partner-to-PCGF6 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, 14-3-3_beta grouped by PCGF6-low versus PCGF6-high in UCEC.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (PCGF6→partner) and Y-score (partner→PCGF6) 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
UCEC14-3-3_beta →-0.112-2.973.017.03531
UCECeEF2 →+0.369+2.999.026.03531
UCECEGFR_pY1068 →-0.315-3.321.007.01031
UCECA-Raf_pS299 →-0.175-2.459.001.01931
UCECGATA6 →-0.158-2.314.042.03531
UCECJNK_pT183_Y185 →-0.205-2.571.009.01131
Each partner links to its Q-omics profile. Showing the 6 strongest of 29 associations by consensus.

14-3-3_beta by PCGF6 expression — UCEC

Box plot of 14-3-3_beta in PCGF6-low vs PCGF6-high samples in UCEC.

Explore this box plot interactively →

Exploration