CHORDC1P5

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

Across TCGA patient cohorts, CHORDC1P5 RNA expression is significantly associated with the go_rna of many other GO terms, with 5,159 significant associations in total. STAD shows the largest number of these associations.

The most reproducible CHORDC1P5-associated GO terms across cancer lineages are Regulation of cellular response to heat, Positive regulation of mitotic cell cycle phase transition, and Cell cycle G1/S phase transition. Each is linked with CHORDC1P5 in more than 11 cancer types. Because this analysis shows association rather than direction, both CHORDC1P5-to-partner and partner-to-CHORDC1P5 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Regulation of cellular response to heat grouped by CHORDC1P5-low versus CHORDC1P5-high in STAD.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (CHORDC1P5→partner) and Y-score (partner→CHORDC1P5) 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
STADRegulation of cellular response to heat →+0.076+0.109<.001<.001312
UCECPositive regulation of mitotic cell cycle phase transition →+0.041+0.026<.001<.001312
STADCell cycle G1/S phase transition →+0.036+0.068<.001<.001312
STADTelencephalon development →+0.033+0.072<.001<.001312
STADPositive regulation of organelle assembly →+0.041+0.053<.001<.001311
STADPositive regulation of mitotic cell cycle →+0.038+0.067<.001<.001311
Each partner links to its Q-omics profile. Showing the 6 strongest of 5,159 associations by consensus.

Regulation of cellular response to heat by CHORDC1P5 expression — STAD

Box plot of Regulation of cellular response to heat in CHORDC1P5-low vs CHORDC1P5-high samples in STAD.

Explore this box plot interactively →

Exploration