FGF10

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

Across TCGA patient cohorts, FGF10 protein abundance is significantly associated with the RNA expression of many other genes, with 1,452 significant associations in total. BRCA shows the largest number of these associations.

The most reproducible FGF10-associated genes across cancer lineages are SEZ6L, XBP1, and GSTZ1. Each is linked with FGF10 in more than 1 cancer types. Because this analysis shows association rather than direction, both FGF10-to-partner and partner-to-FGF10 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, FGF10 versus SEZ6L in BRCA, with a Pearson correlation of 0.79.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (FGF10→partner) and Y-score (partner→FGF10) 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
BRCASEZ6L →+2.403+2.545.001<.00131
BRCAXBP1 →+3.280+2.416<.001<.00131
BRCAGSTZ1 →+1.017+2.383<.001<.00131
BRCATMED8 →+0.632+1.535.007.00531
BRCASAMD15 →+1.975+2.087<.001<.00131
BRCADHRS7 →+0.617+1.319.008.00231
Each partner links to its Q-omics profile. Showing the 6 strongest of 1,452 associations by consensus.

FGF10 vs SEZ6L — BRCA

Per-sample scatter of FGF10 vs SEZ6L in BRCA (Pearson r = 0.79).

Explore this scatter interactively →

Exploration