MIR6740

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

Across TCGA patient cohorts, MIR6740 RNA expression is significantly associated with the go_rna of many other GO terms, with 6,824 significant associations in total. KIRC shows the largest number of these associations.

The most reproducible MIR6740-associated GO terms across cancer lineages are Positive regulation of chromosome organization, Transcription preinitiation complex assembly, and Positive regulation of post-translational protein modification. Each is linked with MIR6740 in more than 23 cancer types. Because this analysis shows association rather than direction, both MIR6740-to-partner and partner-to-MIR6740 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Positive regulation of chromosome organization grouped by MIR6740-low versus MIR6740-high in STAD.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (MIR6740→partner) and Y-score (partner→MIR6740) 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 chromosome organization →+0.046+0.552<.001<.001323
UVMTranscription preinitiation complex assembly →+0.039+0.291.004.005224
STADPositive regulation of post-translational protein modification →+0.036+0.455<.001<.001323
ESCARegulation of chromatin organization →+0.061+0.652<.001<.001323
ESCARegulation of RNA splicing →+0.047+0.574<.001<.001323
ESCARegulation of DNA repair →+0.051+0.657.003<.001323
Each partner links to its Q-omics profile. Showing the 6 strongest of 6,824 associations by consensus.

Positive regulation of chromosome organization by MIR6740 expression — STAD

Box plot of Positive regulation of chromosome organization in MIR6740-low vs MIR6740-high samples in STAD.

Explore this box plot interactively →

Exploration