FUCA2

RNA expression — cross-omics
Cross-omicsRNA → FUNCTION-RNACell-linePairwise association · TCGA cohorts

Across TCGA cell cohorts, FUCA2 RNA expression is significantly associated with the go_rna of many other GO terms, with 5,731 significant associations in total. BONE shows the largest number of these associations.

The most reproducible FUCA2-associated GO terms across cancer lineages are Carbohydrate derivative catabolic process, Positive regulation of protein exit from endoplasmic reticulum, and Aminoglycan catabolic process. Each is linked with FUCA2 in more than 10 cancer types. Because this analysis shows association rather than direction, both FUCA2-to-partner and partner-to-FUCA2 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Carbohydrate derivative catabolic process grouped by FUCA2-low versus FUCA2-high in BONE.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (FUCA2→partner) and Y-score (partner→FUCA2) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.
LineagePartner GO termX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
BONECarbohydrate derivative catabolic process →+0.069+3.232<.001<.001311
BONEPositive regulation of protein exit from endoplasmic reticulum →+0.120+3.293<.001<.001310
BONEAminoglycan catabolic process →+0.219+4.371<.001<.001310
BONEGlycosaminoglycan catabolic process →+0.239+4.371<.001<.001310
UPPER_AERODIGESTIVE_TRACTRibosome hibernation →+0.156+0.841.003<.001310
BONEProtein targeting to lysosome involved in chaperone-mediated autophagy →+0.174+3.444<.001<.001310
Each partner links to its Q-omics profile. Showing the 6 strongest of 5,731 associations by consensus.

Carbohydrate derivative catabolic process by FUCA2 expression — BONE

Box plot of Carbohydrate derivative catabolic process in FUCA2-low vs FUCA2-high samples in BONE.

Explore this box plot interactively →

Exploration