ATP2A3

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

Across TCGA patient cohorts, ATP2A3 mutation is significantly associated with the total protein of many other genes, with 49 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible ATP2A3-associated genes across cancer lineages are PKC-a, MSH6, and mTOR_pS2448. 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, PKC-a grouped by ATP2A3-low versus ATP2A3-high in SKCM.

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
SKCMPKC-a →-0.339-1.700.048.04333
UCECMSH6 →-0.353-1.584<.001.01533
UCECmTOR_pS2448 →-0.102-1.266.023.04933
UCECATM →-0.528-1.999<.001<.00133
COADStathmin →+0.326+2.820<.001.03532
SKCMERK2 →+0.242+2.339.006.01732
Each partner links to its Q-omics profile. Showing the 6 strongest of 49 associations by consensus.

PKC-a by ATP2A3 expression — SKCM

Box plot of PKC-a in ATP2A3-low vs ATP2A3-high samples in SKCM.

Explore this box plot interactively →

Exploration