OVCA2

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

Across TCGA cell cohorts, OVCA2 RNA expression is significantly associated with the go_rna of many other GO terms, with 2,351 significant associations in total. SOFT_TISSUE shows the largest number of these associations.

The most reproducible OVCA2-associated GO terms across cancer lineages are Mitochondrial large ribosomal subunit assembly, Mitotic centrosome separation, and Negative regulation of telomere capping. Each is linked with OVCA2 in more than 9 cancer types. Because this analysis shows association rather than direction, both OVCA2-to-partner and partner-to-OVCA2 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Mitochondrial large ribosomal subunit assembly grouped by OVCA2-low versus OVCA2-high in URINARY_TRACT.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (OVCA2→partner) and Y-score (partner→OVCA2) 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
URINARY_TRACTMitochondrial large ribosomal subunit assembly →+0.114+1.126.005.001310
CNSMitotic centrosome separation →+0.158+0.815<.001<.001310
SOFT_TISSUENegative regulation of telomere capping →+0.071+0.674<.001<.00139
URINARY_TRACTsnRNA export from nucleus →+0.162+1.153<.001<.00139
OESOPHAGUSNegative regulation of 3'-UTR-mediated mRNA stabilization →+0.133+0.580<.001<.00139
BLOOD_LeukemiaTelomere assembly →+0.115+0.713<.001<.00138
Each partner links to its Q-omics profile. Showing the 6 strongest of 2,351 associations by consensus.

Mitochondrial large ribosomal subunit assembly by OVCA2 expression — URINARY_TRACT

Box plot of Mitochondrial large ribosomal subunit assembly in OVCA2-low vs OVCA2-high samples in URINARY_TRACT.

Explore this box plot interactively →

Exploration