DIP2C

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

Across TCGA patient cohorts, DIP2C mutation is significantly associated with the total protein of many other genes, with 103 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible DIP2C-associated genes across cancer lineages are GAPDH, ASNS, and Myosin-IIa_pS1943. Each is linked with DIP2C in more than 4 cancer types. Because this analysis shows association rather than direction, both DIP2C-to-partner and partner-to-DIP2C results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, GAPDH grouped by DIP2C-low versus DIP2C-high in SKCM.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (DIP2C→partner) and Y-score (partner→DIP2C) 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
SKCMGAPDH →+0.691+2.321.006.03335
COADASNS →+0.470+3.000<.001<.00135
STADMyosin-IIa_pS1943 →+0.469+3.169.021.01733
STADPKC-a_pS657 →-0.312-1.700.030.04233
COADRictor →-0.927-2.584.005.00933
STADTIGAR →+0.411+3.700.008.00133
Each partner links to its Q-omics profile. Showing the 6 strongest of 103 associations by consensus.

GAPDH by DIP2C expression — SKCM

Box plot of GAPDH in DIP2C-low vs DIP2C-high samples in SKCM.

Explore this box plot interactively →

Exploration