LINC01869

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

Across TCGA patient cohorts, LINC01869 RNA expression is significantly associated with the go_rna of many other GO terms, with 7,051 significant associations in total. PRAD shows the largest number of these associations.

The most reproducible LINC01869-associated GO terms across cancer lineages are Positive regulation of sphingolipid biosynthetic process, Regulation of cytochrome-c oxidase activity, and Negative regulation of mRNA processing. Each is linked with LINC01869 in more than 20 cancer types. Because this analysis shows association rather than direction, both LINC01869-to-partner and partner-to-LINC01869 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Positive regulation of sphingolipid biosynthetic process grouped by LINC01869-low versus LINC01869-high in STAD.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (LINC01869→partner) and Y-score (partner→LINC01869) 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 sphingolipid biosynthetic process →+0.047+0.368<.001<.001321
MESORegulation of cytochrome-c oxidase activity →+0.036+0.327<.001.003320
STADNegative regulation of mRNA processing →+0.062+0.231<.001<.001318
READtRNA thio-modification →+0.049+0.280.001.001218
STADNucleolar large rRNA transcription by RNA polymerase I →+0.066+0.274<.001<.001317
STADRegulation of protein folding →+0.058+0.321<.001<.001316
Each partner links to its Q-omics profile. Showing the 6 strongest of 7,051 associations by consensus.

Positive regulation of sphingolipid biosynthetic process by LINC01869 expression — STAD

Box plot of Positive regulation of sphingolipid biosynthetic process in LINC01869-low vs LINC01869-high samples in STAD.

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