LINC02570

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

Across TCGA patient cohorts, LINC02570 RNA expression is significantly associated with the go_rna of many other GO terms, with 7,063 significant associations in total. STAD shows the largest number of these associations.

The most reproducible LINC02570-associated GO terms across cancer lineages are Microtubule cytoskeleton organization involved in mitosis, Spindle organization, and Mitotic cell cycle checkpoint signaling. Each is linked with LINC02570 in more than 11 cancer types. Because this analysis shows association rather than direction, both LINC02570-to-partner and partner-to-LINC02570 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Microtubule cytoskeleton organization involved in mitosis grouped by LINC02570-low versus LINC02570-high in ESCA.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (LINC02570→partner) and Y-score (partner→LINC02570) 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
ESCAMicrotubule cytoskeleton organization involved in mitosis →+0.082+0.509<.001<.001312
STADSpindle organization →+0.069+0.236<.001<.001312
STADMitotic cell cycle checkpoint signaling →+0.068+0.334<.001<.001312
STADRegulation of post-translational protein modification →+0.065+0.312<.001<.001311
STADCellular respiration →+0.067+0.322<.001<.001311
ESCAPositive regulation of cell cycle checkpoint →+0.064+0.416<.001.001311
Each partner links to its Q-omics profile. Showing the 6 strongest of 7,063 associations by consensus.

Microtubule cytoskeleton organization involved in mitosis by LINC02570 expression — ESCA

Box plot of Microtubule cytoskeleton organization involved in mitosis in LINC02570-low vs LINC02570-high samples in ESCA.

Explore this box plot interactively →

Exploration