FUT9

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

Across TCGA patient cohorts, FUT9 protein abundance is significantly associated with the RNA expression of many other genes, with 1,053 significant associations in total. GBM shows the largest number of these associations.

The most reproducible FUT9-associated genes across cancer lineages are SLC16A8, PACSIN2, and CACNA1I. Each is linked with FUT9 in more than 1 cancer types. Because this analysis shows association rather than direction, both FUT9-to-partner and partner-to-FUT9 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, FUT9 versus SLC16A8 in GBM, with a Pearson correlation of 0.36.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (FUT9→partner) and Y-score (partner→FUT9) 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
GBMSLC16A8 →+0.415+0.478.005.00131
GBMPACSIN2 →-0.370-0.676.002<.00131
GBMCACNA1I →+0.645+0.665.008.00231
GBMKIAA0930 →+0.466+0.572.005.00731
GBMCHADL →+1.133+0.786.001<.00131
GBMPYGL →-0.844-0.710<.001.00231
Each partner links to its Q-omics profile. Showing the 6 strongest of 1,053 associations by consensus.

FUT9 vs SLC16A8 — GBM

Per-sample scatter of FUT9 vs SLC16A8 in GBM (Pearson r = 0.36).

Explore this scatter interactively →

Exploration