MATK

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

Across TCGA patient cohorts, MATK mutation is significantly associated with the total protein of many other genes, with 24 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible MATK-associated genes across cancer lineages are eIF4E, ERK2, and mTOR_pS2448. Each is linked with MATK in more than 1 cancer types. Because this analysis shows association rather than direction, both MATK-to-partner and partner-to-MATK results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, eIF4E grouped by MATK-low versus MATK-high in UCEC.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (MATK→partner) and Y-score (partner→MATK) 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
UCECeIF4E →+0.226+3.013.017.01832
UCECERK2 →+0.216+2.700.012.00632
UCECmTOR_pS2448 →-0.220-3.439.001.00532
UCECNotch1 →+0.216+3.469<.001.00232
UCECTIGAR →+0.146+2.727.034.00332
UCECEGFR_pY1068 →-0.242-2.000.032.03231
Each partner links to its Q-omics profile. Showing the 6 strongest of 24 associations by consensus.

eIF4E by MATK expression — UCEC

Box plot of eIF4E in MATK-low vs MATK-high samples in UCEC.

Explore this box plot interactively →

Exploration