IGF2

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

Across TCGA patient cohorts, IGF2 mutation is significantly associated with the total protein of many other genes, with 13 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible IGF2-associated genes across cancer lineages are PDCD4, PCNA, and STAT3_pY705. 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, PDCD4 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
UCECPDCD4 →-0.511-2.312.010.03433
UCECPCNA →+0.263+1.700.004.04432
UCECSTAT3_pY705 →-0.400-2.222<.001.01132
UCEC4E-BP1 →+0.298+3.321.009.00932
UCECEGFR →-0.169-2.973.012.03531
UCECeIF4E →+0.191+2.906.032.00122
Each partner links to its Q-omics profile. Showing the 6 strongest of 13 associations by consensus.

PDCD4 by IGF2 expression — UCEC

Box plot of PDCD4 in IGF2-low vs IGF2-high samples in UCEC.

Explore this box plot interactively →

Exploration