CDC16

protein abundance — cross-omics
Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, CDC16 protein abundance is significantly associated with the RNA expression of many other genes, with 7,180 significant associations in total. GBM shows the largest number of these associations.

The most reproducible CDC16-associated genes across cancer lineages are CUL4A, PCID2, and DIAPH3. Each is linked with CDC16 in more than 4 cancer types. Because this analysis shows association rather than direction, both CDC16-to-partner and partner-to-CDC16 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, CDC16 versus CUL4A in BRCA, with a Pearson correlation of 0.28.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (CDC16→partner) and Y-score (partner→CDC16) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.
LineagePartner geneX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
BRCACUL4A →+0.482+0.197.002<.00135
LSCCPCID2 →+0.590+0.195.003.00135
OVDIAPH3 →+0.825+0.828.001.00134
PDACANTXR2 →-0.515-0.221<.001<.00134
HNSCCOMMD6 →+0.549+0.170<.001<.00134
HNSCTUBGCP3 →+0.537+0.153.002<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest of 7,180 associations by consensus.

CDC16 vs CUL4A — BRCA

Per-sample scatter of CDC16 vs CUL4A in BRCA (Pearson r = 0.28).

Explore this scatter interactively →

Exploration