OR4V1P

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

Across TCGA patient cohorts, OR4V1P RNA expression is significantly associated with the go_rna of many other GO terms, with 5,551 significant associations in total. STAD shows the largest number of these associations.

The most reproducible OR4V1P-associated GO terms across cancer lineages are Positive regulation of nervous system development, Vesicle-mediated transport in synapse, and Regulation of heart contraction. Each is linked with OR4V1P in more than 6 cancer types. Because this analysis shows association rather than direction, both OR4V1P-to-partner and partner-to-OR4V1P results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Positive regulation of nervous system development grouped by OR4V1P-low versus OR4V1P-high in STAD.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (OR4V1P→partner) and Y-score (partner→OR4V1P) 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
STADPositive regulation of nervous system development →+0.069+0.036<.001<.00136
ESCAVesicle-mediated transport in synapse →+0.076+0.063<.001.00917
STADRegulation of heart contraction →+0.051+0.040<.001<.00135
COADNegative regulation of autophagy →+0.112+0.011<.001.00435
STADRegulation of inflammasome-mediated signaling pathway →+0.079+0.035<.001<.00135
COADPositive regulation of inflammasome-mediated signaling pathway →+0.109+0.008<.001.00335
Each partner links to its Q-omics profile. Showing the 6 strongest of 5,551 associations by consensus.

Positive regulation of nervous system development by OR4V1P expression — STAD

Box plot of Positive regulation of nervous system development in OR4V1P-low vs OR4V1P-high samples in STAD.

Explore this box plot interactively →

Exploration