IGF2

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

Across TCGA patient cohorts, IGF2 mutation is significantly associated with the RNA expression of many other genes, with 2,436 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible IGF2-associated genes across cancer lineages are BOLA3, PBK, and DNAJC8. Each is linked with IGF2 in more than 2 cancer types. Because this analysis shows association rather than direction, both IGF2-to-partner and partner-to-IGF2 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, BOLA3 grouped by IGF2-low versus IGF2-high in UCEC.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (IGF2→partner) and Y-score (partner→IGF2) 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
UCECBOLA3 →+0.410+3.906.001<.00133
UCECPBK →+0.822+2.332.001<.00133
UCECDNAJC8 →+0.309+2.716.007.00333
UCECCEBPZOS →+0.345+2.518.003.00133
UCECYTHDF3-AS1 →+0.476+1.931.005.00932
CESCRN7SL248P →+0.121+6.584<.001<.00132
Each partner links to its Q-omics profile. Showing the 6 strongest of 2,436 associations by consensus.

BOLA3 by IGF2 expression — UCEC

Box plot of BOLA3 in IGF2-low vs IGF2-high samples in UCEC.

Explore this box plot interactively →

Exploration