FGF23

protein abundance — cross-omics
Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, FGF23 protein abundance is significantly associated with the RNA expression of many other genes, with 459 significant associations in total. GBM shows the largest number of these associations.

The most reproducible FGF23-associated genes across cancer lineages are PXMP4, CST3, and ACOT8. Each is linked with FGF23 in more than 1 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 scatter plot shows the strongest example, FGF23 versus PXMP4 in GBM, with a Pearson correlation of -0.55.

protein abundance 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
GBMPXMP4 →-0.569-1.005.001<.00131
GBMCST3 →-0.984-0.873.003.00231
GBMACOT8 →-0.380-0.700<.001.00531
GBMTSNAXIP1 →-0.538-0.829.004<.00131
GBMAQP9 →+1.751+1.045.003.00331
GBMAKT2 →-0.505-0.832.001.00231
Each partner links to its Q-omics profile. Showing the 6 strongest of 459 associations by consensus.

FGF23 vs PXMP4 — GBM

Per-sample scatter of FGF23 vs PXMP4 in GBM (Pearson r = -0.55).

Explore this scatter interactively →

Exploration