IGFN1

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

Across TCGA patient cohorts, IGFN1 mutation is significantly associated with the RNA expression of many other genes, with 3,312 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible IGFN1-associated genes across cancer lineages are ACKR3, CHAF1A, and PCAT19. Each is linked with IGFN1 in more than 3 cancer types. Because this analysis shows association rather than direction, both IGFN1-to-partner and partner-to-IGFN1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, ACKR3 grouped by IGFN1-low versus IGFN1-high in COAD.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (IGFN1→partner) and Y-score (partner→IGFN1) 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
COADACKR3 →-0.824-2.793<.001.00334
UCECCHAF1A →+0.396+1.490.001<.00134
UCECPCAT19 →-0.632-2.070.001.00134
SKCMALKBH7 →+0.373+1.672.003.00634
SKCMMTX1 →+0.283+2.182.002.00133
LUADPPP2R2D →+0.375+3.505<.001.00224
Each partner links to its Q-omics profile. Showing the 6 strongest of 3,312 associations by consensus.

ACKR3 by IGFN1 expression — COAD

Box plot of ACKR3 in IGFN1-low vs IGFN1-high samples in COAD.

Explore this box plot interactively →

Exploration