LINC01687

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

Across TCGA patient cohorts, LINC01687 RNA expression is significantly associated with the go_rna of many other GO terms, with 6,354 significant associations in total. STAD shows the largest number of these associations.

The most reproducible LINC01687-associated GO terms across cancer lineages are Negative regulation of DNA metabolic process, Protein localization to nuclear envelope, and Positive regulation of cell cycle process. Each is linked with LINC01687 in more than 16 cancer types. Because this analysis shows association rather than direction, both LINC01687-to-partner and partner-to-LINC01687 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Negative regulation of DNA metabolic process grouped by LINC01687-low versus LINC01687-high in STAD.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (LINC01687→partner) and Y-score (partner→LINC01687) 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
STADNegative regulation of DNA metabolic process →+0.051+0.121<.001<.001317
STADProtein localization to nuclear envelope →+0.086+0.207<.001<.001316
STADPositive regulation of cell cycle process →+0.060+0.148<.001<.001316
STADMitotic nuclear division →+0.072+0.144<.001<.001316
STADNegative regulation of DNA repair →+0.052+0.124<.001<.001316
STADNegative regulation of chromosome organization →+0.067+0.131<.001<.001316
Each partner links to its Q-omics profile. Showing the 6 strongest of 6,354 associations by consensus.

Negative regulation of DNA metabolic process by LINC01687 expression — STAD

Box plot of Negative regulation of DNA metabolic process in LINC01687-low vs LINC01687-high samples in STAD.

Explore this box plot interactively →

Exploration