FGF13

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

Across TCGA patient cohorts, FGF13 protein abundance is significantly associated with the RNA expression of many other genes, with 714 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible FGF13-associated genes across cancer lineages are PYCARD, CCDC114, and ARHGEF17. Each is linked with FGF13 in more than 1 cancer types. Because this analysis shows association rather than direction, both FGF13-to-partner and partner-to-FGF13 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, FGF13 versus PYCARD in BRCA, with a Pearson correlation of -0.45.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (FGF13→partner) and Y-score (partner→FGF13) 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
BRCAPYCARD →-1.318-0.846.003.00731
BRCACCDC114 →-0.937-1.097<.001<.00131
BRCAARHGEF17 →-0.744-0.611.004.00631
BRCANIT2 →-0.445-0.732.001.00431
BRCAHEMK1 →-0.691-0.841.008.00431
BRCAUSP35 →-1.282-1.041.002.00331
Each partner links to its Q-omics profile. Showing the 6 strongest of 714 associations by consensus.

FGF13 vs PYCARD — BRCA

Per-sample scatter of FGF13 vs PYCARD in BRCA (Pearson r = -0.45).

Explore this scatter interactively →

Exploration