RNU6-1007P

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

Across TCGA patient cohorts, RNU6-1007P RNA expression is significantly associated with the go_rna of many other GO terms, with 6,400 significant associations in total. STAD shows the largest number of these associations.

The most reproducible RNU6-1007P-associated GO terms across cancer lineages are Regulation of double-strand break repair, Regulation of double-strand break repair via nonhomologous end joining, and Positive regulation of cysteine-type endopeptidase activity. Each is linked with RNU6-1007P in more than 4 cancer types. Because this analysis shows association rather than direction, both RNU6-1007P-to-partner and partner-to-RNU6-1007P results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Regulation of double-strand break repair grouped by RNU6-1007P-low versus RNU6-1007P-high in ESCA.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RNU6-1007P→partner) and Y-score (partner→RNU6-1007P) 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 double-strand break repair →+0.160+0.162<.001.00335
ESCARegulation of double-strand break repair via nonhomologous end joining →+0.133+0.190<.001.00135
ESCAPositive regulation of cysteine-type endopeptidase activity →+0.135+0.126<.001.00335
ESCAMaintenance of location in cell →+0.128+0.135<.001.00135
ESCARegulation of DNA repair →+0.164+0.241<.001.00235
ESCAProtein export from nucleus →+0.157+0.189<.001.00335
Each partner links to its Q-omics profile. Showing the 6 strongest of 6,400 associations by consensus.

Regulation of double-strand break repair by RNU6-1007P expression — ESCA

Box plot of Regulation of double-strand break repair in RNU6-1007P-low vs RNU6-1007P-high samples in ESCA.

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Exploration