SETDB1

Across TCGA patient cohorts, SETDB1 RNA expression is significantly associated with the protein abundance of many other proteins, with 18,042 significant associations in total. GBM shows the largest number of these associations.

The most reproducible SETDB1-associated proteins across cancer lineages are RPRD2, CDC73, and GATAD2B. Each is linked with SETDB1 in more than 8 cancer types. Because this analysis shows association rather than direction, both SETDB1-to-partner and partner-to-SETDB1 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, SETDB1 versus RPRD2 in LSCC, with a Pearson correlation of 0.74.

RNA expression associated proteins by consensus

Ranked by combined sampling and lineage consensus. X-score (SETDB1→partner) and Y-score (partner→SETDB1) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.

Lineage	Partner protein	X-score	Y-score	p(X)	p(Y)	Sampling consensus	Lineage consensus
LSCC	RPRD2 →	+0.358	+0.603	<.001	<.001	3	9
BRCA	CDC73 →	+0.307	+0.525	<.001	<.001	3	9
GBM	GATAD2B →	+0.439	+0.485	<.001	<.001	3	9
GBM	POGZ →	+0.325	+0.411	<.001	<.001	3	9
HNSC	SMC3 →	+0.367	+0.638	<.001	<.001	3	8
GBM	TCERG1 →	+0.269	+0.296	<.001	<.001	3	8

Each partner links to its Q-omics profile. Showing the 6 strongest of 18,042 associations by consensus.

SETDB1 vs RPRD2 — LSCC

Explore this scatter interactively →