RPPH1-3P

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

Across TCGA patient cohorts, RPPH1-3P RNA expression is significantly associated with the go_rna of many other GO terms, with 5,980 significant associations in total. STAD shows the largest number of these associations.

The most reproducible RPPH1-3P-associated GO terms across cancer lineages are Protein processing, Regulation of response to cytokine stimulus, and Negative regulation of response to cytokine stimulus. Each is linked with RPPH1-3P in more than 5 cancer types. Because this analysis shows association rather than direction, both RPPH1-3P-to-partner and partner-to-RPPH1-3P results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Protein processing grouped by RPPH1-3P-low versus RPPH1-3P-high in ESCA.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (RPPH1-3P→partner) and Y-score (partner→RPPH1-3P) 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
ESCAProtein processing →+0.094+0.085<.001.00136
ESCARegulation of response to cytokine stimulus →+0.098+0.091<.001<.00135
ESCANegative regulation of response to cytokine stimulus →+0.072+0.078<.001.00435
ESCAAlternative mRNA splicing, via spliceosome →+0.131+0.081<.001.00235
ESCACarbohydrate biosynthetic process →+0.091+0.105<.001<.00135
ESCAProduction of molecular mediator involved in inflammatory response →+0.089+0.195<.001<.00135
Each partner links to its Q-omics profile. Showing the 6 strongest of 5,980 associations by consensus.

Protein processing by RPPH1-3P expression — ESCA

Box plot of Protein processing in RPPH1-3P-low vs RPPH1-3P-high samples in ESCA.

Explore this box plot interactively →

Exploration