APBB1IP

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

Across TCGA patient cohorts, APBB1IP mutation is significantly associated with the RNA expression of many other genes, with 1,503 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible APBB1IP-associated genes across cancer lineages are RNU2-17P, MSANTD3, and CDADC1. Each is linked with APBB1IP in more than 2 cancer types. Because this analysis shows association rather than direction, both APBB1IP-to-partner and partner-to-APBB1IP results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, RNU2-17P grouped by APBB1IP-low versus APBB1IP-high in LUSC.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (APBB1IP→partner) and Y-score (partner→APBB1IP) 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
LUSCRNU2-17P →+0.417+2.388<.001.00133
UCECMSANTD3 →+0.551+2.180<.001.00233
SKCMCDADC1 →+0.335+1.778.006.00733
UCECCARS1 →+0.464+1.776<.001.00833
UCECC9orf78 →+0.326+2.931.004<.00133
UCECNDUFAF1 →+0.481+3.332<.001<.00133
Each partner links to its Q-omics profile. Showing the 6 strongest of 1,503 associations by consensus.

RNU2-17P by APBB1IP expression — LUSC

Box plot of RNU2-17P in APBB1IP-low vs APBB1IP-high samples in LUSC.

Explore this box plot interactively →

Exploration