ATP2A3

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

Across TCGA patient cohorts, ATP2A3 mutation is significantly associated with the RNA expression of many other genes, with 5,819 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible ATP2A3-associated genes across cancer lineages are RNU6-197P, RNA5SP160, and SLCO1B1. Each is linked with ATP2A3 in more than 2 cancer types. Because this analysis shows association rather than direction, both ATP2A3-to-partner and partner-to-ATP2A3 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, RNU6-197P grouped by ATP2A3-low versus ATP2A3-high in SARC.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (ATP2A3→partner) and Y-score (partner→ATP2A3) 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
SARCRNU6-197P →+0.412+5.345<.001.00533
LUSCRNA5SP160 →+0.485+3.526.004.00733
COADSLCO1B1 →+0.291+2.851.007.00433
UCECNDUFS4 →+0.443+3.087<.001<.00133
UCECNDUFB6 →+0.559+2.362<.001<.00133
UCECRPL17P50 →+0.404+3.343<.001<.00133
Each partner links to its Q-omics profile. Showing the 6 strongest of 5,819 associations by consensus.

RNU6-197P by ATP2A3 expression — SARC

Box plot of RNU6-197P in ATP2A3-low vs ATP2A3-high samples in SARC.

Explore this box plot interactively →

Exploration