USP9YP30

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

Across TCGA patient cohorts, USP9YP30 RNA expression is significantly associated with the go_rna of many other GO terms, with 728 significant associations in total. STAD shows the largest number of these associations.

The most reproducible USP9YP30-associated GO terms across cancer lineages are Steroid hormone biosynthetic process, Positive regulation of DNA damage checkpoint, and Pyrimidine deoxyribonucleoside metabolic process. Each is linked with USP9YP30 in more than 1 cancer types. Because this analysis shows association rather than direction, both USP9YP30-to-partner and partner-to-USP9YP30 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Steroid hormone biosynthetic process grouped by USP9YP30-low versus USP9YP30-high in STAD.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (USP9YP30→partner) and Y-score (partner→USP9YP30) 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
STADSteroid hormone biosynthetic process →+0.079+0.019<.001.00831
STADPositive regulation of DNA damage checkpoint →+0.102+0.019<.001.00731
STADPyrimidine deoxyribonucleoside metabolic process →+0.091+0.017<.001.00531
STADNegative regulation of receptor signaling pathway via JAK-STAT →+0.165+0.019<.001.00831
STADTetrahydrofolate metabolic process →+0.126+0.020<.001.00531
STADPositive regulation of lipid biosynthetic process →+0.100+0.022<.001.00131
Each partner links to its Q-omics profile. Showing the 6 strongest of 728 associations by consensus.

Steroid hormone biosynthetic process by USP9YP30 expression — STAD

Box plot of Steroid hormone biosynthetic process in USP9YP30-low vs USP9YP30-high samples in STAD.

Explore this box plot interactively →

Exploration