RN7SKP132

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

Across TCGA patient cohorts, RN7SKP132 RNA expression is significantly associated with the go_rna of many other GO terms, with 5,454 significant associations in total. STAD shows the largest number of these associations.

The most reproducible RN7SKP132-associated GO terms across cancer lineages are Response to epidermal growth factor, Transport along microtubule, and Peptidyl-lysine modification. Each is linked with RN7SKP132 in more than 5 cancer types. Because this analysis shows association rather than direction, both RN7SKP132-to-partner and partner-to-RN7SKP132 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Response to epidermal growth factor grouped by RN7SKP132-low versus RN7SKP132-high in STAD.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RN7SKP132→partner) and Y-score (partner→RN7SKP132) 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 epidermal growth factor →+0.156+0.049<.001<.00135
STADTransport along microtubule →+0.120+0.047<.001<.00135
STADPeptidyl-lysine modification →+0.143+0.055<.001<.00135
STADPositive regulation of nuclear-transcribed mRNA catabolic process, deadenylation-dependent decay →+0.112+0.078<.001.00126
STADNegative regulation of telomere maintenance via telomere lengthening →+0.121+0.051<.001<.00135
STADNegative regulation of telomere maintenance via telomerase →+0.121+0.049<.001<.00135
Each partner links to its Q-omics profile. Showing the 6 strongest of 5,454 associations by consensus.

Response to epidermal growth factor by RN7SKP132 expression — STAD

Box plot of Response to epidermal growth factor in RN7SKP132-low vs RN7SKP132-high samples in STAD.

Explore this box plot interactively →

Exploration