SETDB2

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

Across TCGA patient cohorts, SETDB2 protein abundance is significantly associated with the RNA expression of many other genes, with 4,450 significant associations in total. GBM shows the largest number of these associations.

The most reproducible SETDB2-associated genes across cancer lineages are EMD, LAPTM4B, and SQLE. Each is linked with SETDB2 in more than 1 cancer types. Because this analysis shows association rather than direction, both SETDB2-to-partner and partner-to-SETDB2 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, SETDB2 versus EMD in UCEC, with a Pearson correlation of -0.46.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (SETDB2→partner) and Y-score (partner→SETDB2) 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
UCECEMD →-0.732-0.507.002.00832
UCECLAPTM4B →-1.480-0.545<.001.00432
LUADSQLE →-0.805-0.478.007.00332
UCECRTL8C →-0.867-0.585.001<.00132
UCECNKIRAS2 →-0.555-0.627.001<.00132
UCECDHCR7 →-1.107-0.711.009<.00132
Each partner links to its Q-omics profile. Showing the 6 strongest of 4,450 associations by consensus.

SETDB2 vs EMD — UCEC

Per-sample scatter of SETDB2 vs EMD in UCEC (Pearson r = -0.46).

Explore this scatter interactively →

Exploration