SPDYE22P

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

Across TCGA patient cohorts, SPDYE22P RNA expression is significantly associated with the go_rna of many other GO terms, with 6,688 significant associations in total. STAD shows the largest number of these associations.

The most reproducible SPDYE22P-associated GO terms across cancer lineages are Negative regulation of chromosome organization, Regulation of DNA-directed DNA polymerase activity, and Regulation of cytokinesis. Each is linked with SPDYE22P in more than 18 cancer types. Because this analysis shows association rather than direction, both SPDYE22P-to-partner and partner-to-SPDYE22P results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Negative regulation of chromosome organization grouped by SPDYE22P-low versus SPDYE22P-high in STAD.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (SPDYE22P→partner) and Y-score (partner→SPDYE22P) 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
STADNegative regulation of chromosome organization →+0.079+0.403<.001<.001319
STADRegulation of DNA-directed DNA polymerase activity →+0.073+0.330<.001<.001318
STADRegulation of cytokinesis →+0.068+0.366<.001<.001318
STADNegative regulation of mitotic cell cycle →+0.070+0.411<.001<.001318
STADPositive regulation of mitotic cell cycle →+0.065+0.390<.001<.001318
STADMetaphase chromosome alignment →+0.086+0.361<.001<.001318
Each partner links to its Q-omics profile. Showing the 6 strongest of 6,688 associations by consensus.

Negative regulation of chromosome organization by SPDYE22P expression — STAD

Box plot of Negative regulation of chromosome organization in SPDYE22P-low vs SPDYE22P-high samples in STAD.

Explore this box plot interactively →

Exploration