RNA5SP154

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

Across TCGA patient cohorts, RNA5SP154 RNA expression is significantly associated with the go_rna of many other GO terms, with 7,126 significant associations in total. STAD shows the largest number of these associations.

The most reproducible RNA5SP154-associated GO terms across cancer lineages are Response to insulin, Positive regulation of canonical NF-kappaB signal transduction, and Regulation of stress-activated protein kinase signaling cascade. Each is linked with RNA5SP154 in more than 18 cancer types. Because this analysis shows association rather than direction, both RNA5SP154-to-partner and partner-to-RNA5SP154 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Response to insulin grouped by RNA5SP154-low versus RNA5SP154-high in STAD.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RNA5SP154→partner) and Y-score (partner→RNA5SP154) 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
STADResponse to insulin →+0.059+0.432<.001<.001319
STADPositive regulation of canonical NF-kappaB signal transduction →+0.067+0.509<.001<.001319
STADRegulation of stress-activated protein kinase signaling cascade →+0.055+0.515<.001<.001318
STADPositive regulation of protein serine/threonine kinase activity →+0.048+0.468<.001<.001318
THYMMolting cycle process →+0.050+0.776<.001<.001318
STADStress-activated protein kinase signaling cascade →+0.055+0.486<.001<.001318
Each partner links to its Q-omics profile. Showing the 6 strongest of 7,126 associations by consensus.

Response to insulin by RNA5SP154 expression — STAD

Box plot of Response to insulin in RNA5SP154-low vs RNA5SP154-high samples in STAD.

Explore this box plot interactively →

Exploration