RN7SL498P

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

Across TCGA patient cohorts, RN7SL498P RNA expression is significantly associated with the go_rna of many other GO terms, with 5,877 significant associations in total. STAD shows the largest number of these associations.

The most reproducible RN7SL498P-associated GO terms across cancer lineages are Regulation of double-strand break repair via homologous recombination, Telomere organization, and Regulation of telomere maintenance. Each is linked with RN7SL498P in more than 13 cancer types. Because this analysis shows association rather than direction, both RN7SL498P-to-partner and partner-to-RN7SL498P 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 via homologous recombination grouped by RN7SL498P-low versus RN7SL498P-high in ESCA.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RN7SL498P→partner) and Y-score (partner→RN7SL498P) 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 via homologous recombination →+0.062+0.194<.001<.001314
ESCATelomere organization →+0.060+0.168<.001.001314
ESCARegulation of telomere maintenance →+0.073+0.169<.001<.001314
ESCAMethylation →+0.041+0.109<.001<.001314
ESCAObsolete DNA methylation →+0.050+0.144<.001.002314
ESCADNA conformation change →+0.051+0.107<.001<.001314
Each partner links to its Q-omics profile. Showing the 6 strongest of 5,877 associations by consensus.

Regulation of double-strand break repair via homologous recombination by RN7SL498P expression — ESCA

Box plot of Regulation of double-strand break repair via homologous recombination in RN7SL498P-low vs RN7SL498P-high samples in ESCA.

Explore this box plot interactively →

Exploration