RNU6-470P

Across TCGA patient cohorts, RNU6-470P RNA expression is significantly associated with the go_rna of many other GO terms, with 6,017 significant associations in total. STAD shows the largest number of these associations.

The most reproducible RNU6-470P-associated GO terms across cancer lineages are Positive regulation of post-translational protein modification, Positive regulation of protein modification by small protein conjugation or removal, and snRNA metabolic process. Each is linked with RNU6-470P in more than 7 cancer types. Because this analysis shows association rather than direction, both RNU6-470P-to-partner and partner-to-RNU6-470P results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Positive regulation of post-translational protein modification grouped by RNU6-470P-low versus RNU6-470P-high in STAD.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RNU6-470P→partner) and Y-score (partner→RNU6-470P) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.

Lineage	Partner GO term	X-score	Y-score	p(X)	p(Y)	Sampling consensus	Lineage consensus
STAD	Positive regulation of post-translational protein modification →	+0.106	+0.213	<.001	<.001	3	8
STAD	Positive regulation of protein modification by small protein conjugation or removal →	+0.105	+0.199	<.001	<.001	3	8
STAD	snRNA metabolic process →	+0.112	+0.246	<.001	<.001	3	8
STAD	Positive regulation of interferon-beta production →	+0.103	+0.185	<.001	<.001	3	8
STAD	Water-soluble vitamin metabolic process →	+0.077	+0.197	<.001	<.001	3	8
STAD	Negative regulation of canonical Wnt signaling pathway →	+0.075	+0.224	<.001	<.001	3	7

Each partner links to its Q-omics profile. Showing the 6 strongest of 6,017 associations by consensus.

Positive regulation of post-translational protein modification by RNU6-470P expression — STAD

Explore this box plot interactively →