MIR4742

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

Across TCGA patient cohorts, MIR4742 RNA expression is significantly associated with the go_rna of many other GO terms, with 6,442 significant associations in total. KIRC shows the largest number of these associations.

The most reproducible MIR4742-associated GO terms across cancer lineages are Regulation of telomere maintenance, Positive regulation of protein modification by small protein conjugation or removal, and Negative regulation of stem cell differentiation. Each is linked with MIR4742 in more than 24 cancer types. Because this analysis shows association rather than direction, both MIR4742-to-partner and partner-to-MIR4742 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Regulation of telomere maintenance grouped by MIR4742-low versus MIR4742-high in ESCA.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (MIR4742→partner) and Y-score (partner→MIR4742) 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 telomere maintenance →+0.060+0.572.001<.001225
ESCAPositive regulation of protein modification by small protein conjugation or removal →+0.060+0.677.001<.001225
LAMLNegative regulation of stem cell differentiation →+0.073+1.033<.001<.001323
ESCAProtein localization to vacuole →+0.069+0.745<.001<.001323
STADCentriole assembly →+0.047+0.464<.001<.001323
ESCAProtein modification by small protein removal →+0.064+0.646<.001<.001224
Each partner links to its Q-omics profile. Showing the 6 strongest of 6,442 associations by consensus.

Regulation of telomere maintenance by MIR4742 expression — ESCA

Box plot of Regulation of telomere maintenance in MIR4742-low vs MIR4742-high samples in ESCA.

Explore this box plot interactively →

Exploration