FGF23

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

Across TCGA patient cohorts, FGF23 mutation is significantly associated with the RNA expression of many other genes, with 1,246 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible FGF23-associated genes across cancer lineages are NELFB, SSMEM1, and ASB6. Each is linked with FGF23 in more than 2 cancer types. Because this analysis shows association rather than direction, both FGF23-to-partner and partner-to-FGF23 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, NELFB grouped by FGF23-low versus FGF23-high in SKCM.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (FGF23→partner) and Y-score (partner→FGF23) 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
SKCMNELFB →+0.340+1.879.005.00433
BRCASSMEM1 →+0.112+3.630<.001.00833
LUADASB6 →+0.503+3.416<.001.00433
LUADARRDC1-AS1 →+0.572+3.357<.001.00533
UCECARPC5L →+0.392+2.364.002.00333
UCECMED27 →+0.368+2.386.008.00333
Each partner links to its Q-omics profile. Showing the 6 strongest of 1,246 associations by consensus.

NELFB by FGF23 expression — SKCM

Box plot of NELFB in FGF23-low vs FGF23-high samples in SKCM.

Explore this box plot interactively →

Exploration