PHKG2

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

Across TCGA patient cohorts, PHKG2 mutation is significantly associated with the RNA expression of many other genes, with 546 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible PHKG2-associated genes across cancer lineages are RNU1-62P, SYPL1P1, and ELOAP1. Each is linked with PHKG2 in more than 2 cancer types. Because this analysis shows association rather than direction, both PHKG2-to-partner and partner-to-PHKG2 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, RNU1-62P grouped by PHKG2-low versus PHKG2-high in CESC.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (PHKG2→partner) and Y-score (partner→PHKG2) 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
CESCRNU1-62P →+0.250+4.539<.001.00833
COADSYPL1P1 →+0.165+5.693<.001.00332
SKCMELOAP1 →+0.007+4.678<.001.00332
UCECPRSS53 →+0.284+2.663<.001.00532
UCECSNHG30 →+0.547+1.914<.001.00932
SKCMRN7SKP286 →+0.056+5.003<.001.00232
Each partner links to its Q-omics profile. Showing the 6 strongest of 546 associations by consensus.

RNU1-62P by PHKG2 expression — CESC

Box plot of RNU1-62P in PHKG2-low vs PHKG2-high samples in CESC.

Explore this box plot interactively →

Exploration