SCCPDH

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

Across TCGA cell cohorts, SCCPDH RNA expression is significantly associated with the go_rna of many other GO terms, with 2,864 significant associations in total. BLOOD_Lymphoma shows the largest number of these associations.

The most reproducible SCCPDH-associated GO terms across cancer lineages are DNA damage tolerance, Vesicle tethering involved in exocytosis, and Regulation of calcium import into the mitochondrion. Each is linked with SCCPDH in more than 6 cancer types. Because this analysis shows association rather than direction, both SCCPDH-to-partner and partner-to-SCCPDH results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, DNA damage tolerance grouped by SCCPDH-low versus SCCPDH-high in UPPER_AERODIGESTIVE_TRACT.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (SCCPDH→partner) and Y-score (partner→SCCPDH) 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
UPPER_AERODIGESTIVE_TRACTDNA damage tolerance →+0.073+1.269.001<.00137
LUNG_SCLCVesicle tethering involved in exocytosis →+0.099+0.633<.001.00137
STOMACHRegulation of calcium import into the mitochondrion →+0.112+1.027.001.00137
SKINPositive regulation of chromatin organization →+0.134+1.702<.001<.00136
LUNG_NSCLC_LUSCGolgi to plasma membrane transport →+0.068+1.309.005.00327
LUNG_SCLCNegative regulation of beige fat cell differentiation →+0.123+0.890<.001<.00136
Each partner links to its Q-omics profile. Showing the 6 strongest of 2,864 associations by consensus.

DNA damage tolerance by SCCPDH expression — UPPER_AERODIGESTIVE_TRACT

Box plot of DNA damage tolerance in SCCPDH-low vs SCCPDH-high samples in UPPER_AERODIGESTIVE_TRACT.

Explore this box plot interactively →

Exploration