RNU6-665P

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

Across TCGA patient cohorts, RNU6-665P RNA expression is significantly associated with the go_rna of many other GO terms, with 6,236 significant associations in total. STAD shows the largest number of these associations.

The most reproducible RNU6-665P-associated GO terms across cancer lineages are Regulation of nuclear-transcribed mRNA poly(A) tail shortening, Regulation of cell cycle G1/S phase transition, and Neural nucleus development. Each is linked with RNU6-665P in more than 13 cancer types. Because this analysis shows association rather than direction, both RNU6-665P-to-partner and partner-to-RNU6-665P results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Regulation of nuclear-transcribed mRNA poly(A) tail shortening grouped by RNU6-665P-low versus RNU6-665P-high in ESCA.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RNU6-665P→partner) and Y-score (partner→RNU6-665P) 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
ESCARegulation of nuclear-transcribed mRNA poly(A) tail shortening →+0.057+0.641<.001<.001314
ESCARegulation of cell cycle G1/S phase transition →+0.043+0.575<.001<.001313
ESCANeural nucleus development →+0.038+0.620<.001<.001313
STADPositive regulation of binding →+0.041+0.450<.001<.001313
STADProtein modification by small protein removal →+0.052+0.480<.001<.001313
STADTelencephalon development →+0.035+0.447<.001<.001313
Each partner links to its Q-omics profile. Showing the 6 strongest of 6,236 associations by consensus.

Regulation of nuclear-transcribed mRNA poly(A) tail shortening by RNU6-665P expression — ESCA

Box plot of Regulation of nuclear-transcribed mRNA poly(A) tail shortening in RNU6-665P-low vs RNU6-665P-high samples in ESCA.

Explore this box plot interactively →

Exploration