RN7SL571P

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

Across TCGA patient cohorts, RN7SL571P RNA expression is significantly associated with the go_rna of many other GO terms, with 5,418 significant associations in total. STAD shows the largest number of these associations.

The most reproducible RN7SL571P-associated GO terms across cancer lineages are Positive regulation of neuron projection development, Positive regulation of cell growth, and Regulation of polysaccharide metabolic process. Each is linked with RN7SL571P in more than 7 cancer types. Because this analysis shows association rather than direction, both RN7SL571P-to-partner and partner-to-RN7SL571P results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Positive regulation of neuron projection development grouped by RN7SL571P-low versus RN7SL571P-high in ESCA.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RN7SL571P→partner) and Y-score (partner→RN7SL571P) 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
ESCAPositive regulation of neuron projection development →+0.057+0.066<.001.00418
STADPositive regulation of cell growth →+0.058+0.048<.001<.00136
ESCARegulation of polysaccharide metabolic process →+0.064+0.070<.001.00236
STADRegulation of receptor-mediated endocytosis →+0.058+0.055<.001<.00136
STADGlial cell differentiation →+0.054+0.062<.001<.00135
SKCMLeptin-mediated signaling pathway →+0.061+0.016<.001.00335
Each partner links to its Q-omics profile. Showing the 6 strongest of 5,418 associations by consensus.

Positive regulation of neuron projection development by RN7SL571P expression — ESCA

Box plot of Positive regulation of neuron projection development in RN7SL571P-low vs RN7SL571P-high samples in ESCA.

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Exploration