ATPSCKMT

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

Across TCGA patient cohorts, ATPSCKMT mutation is significantly associated with the RNA expression of many other genes, with 79 significant associations in total. SKCM shows the largest number of these associations.

The most reproducible ATPSCKMT-associated genes across cancer lineages are RPL35AP22, RN7SL134P, and MIR6810. Each is linked with ATPSCKMT in more than 1 cancer types. Because this analysis shows association rather than direction, both ATPSCKMT-to-partner and partner-to-ATPSCKMT results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, RPL35AP22 grouped by ATPSCKMT-low versus ATPSCKMT-high in SKCM.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (ATPSCKMT→partner) and Y-score (partner→ATPSCKMT) 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
SKCMRPL35AP22 →+0.055+4.634<.001.00332
SKCMRN7SL134P →+0.096+3.533<.001.00132
SKCMMIR6810 →+0.586+3.895<.001<.00131
SKCMFAM27B →+0.144+4.130<.001.00131
SKCMCTSLP3 →+0.095+3.757.009.00331
UCECATF4P2 →+0.035+3.014<.001.00431
Each partner links to its Q-omics profile. Showing the 6 strongest of 79 associations by consensus.

RPL35AP22 by ATPSCKMT expression — SKCM

Box plot of RPL35AP22 in ATPSCKMT-low vs ATPSCKMT-high samples in SKCM.

Explore this box plot interactively →

Exploration