ATP6V0E2

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

Across TCGA patient cohorts, ATP6V0E2 mutation is significantly associated with the RNA expression of many other genes, with 89 significant associations in total. SKCM shows the largest number of these associations.

The most reproducible ATP6V0E2-associated genes across cancer lineages are RNU1-62P, ATP5F1AP7, and RNU6-1169P. Each is linked with ATP6V0E2 in more than 1 cancer types. Because this analysis shows association rather than direction, both ATP6V0E2-to-partner and partner-to-ATP6V0E2 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, RNU1-62P grouped by ATP6V0E2-low versus ATP6V0E2-high in CESC.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (ATP6V0E2→partner) and Y-score (partner→ATP6V0E2) 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<.001.00832
READATP5F1AP7 →+0.094+5.421<.001.00532
SKCMRNU6-1169P →+0.569+5.362<.001.00532
CESCTIMM9P1 →+0.199+4.320.001.00731
CESCRPS27P12 →+0.168+4.969<.001.00431
CESCRN7SL314P →+0.129+5.569.002.00231
Each partner links to its Q-omics profile. Showing the 6 strongest of 89 associations by consensus.

RNU1-62P by ATP6V0E2 expression — CESC

Box plot of RNU1-62P in ATP6V0E2-low vs ATP6V0E2-high samples in CESC.

Explore this box plot interactively →

Exploration