ATP9A

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

Across TCGA patient cohorts, ATP9A mutation is significantly associated with the total protein of many other genes, with 50 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible ATP9A-associated genes across cancer lineages are PKC-b-II_pS660, PDCD4, and MSH2. Each is linked with ATP9A in more than 2 cancer types. Because this analysis shows association rather than direction, both ATP9A-to-partner and partner-to-ATP9A results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, PKC-b-II_pS660 grouped by ATP9A-low versus ATP9A-high in COAD.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (ATP9A→partner) and Y-score (partner→ATP9A) 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
COADPKC-b-II_pS660 →-0.312-3.169.029.01833
UCECPDCD4 →-0.396-2.584.003<.00133
SKCMMSH2 →+0.191+1.602.016.01132
SKCMStathmin →+0.204+1.584.001.01832
SKCMCaspase-8 →-0.148-1.584.004.01832
UCECMEK1 →+0.309+1.874.002.00232
Each partner links to its Q-omics profile. Showing the 6 strongest of 50 associations by consensus.

PKC-b-II_pS660 by ATP9A expression — COAD

Box plot of PKC-b-II_pS660 in ATP9A-low vs ATP9A-high samples in COAD.

Explore this box plot interactively →

Exploration