SETDB1

Across TCGA patient cohorts, SETDB1 protein abundance is significantly associated with the RNA expression of many other genes, with 15,388 significant associations in total. GBM shows the largest number of these associations.

The most reproducible SETDB1-associated genes across cancer lineages are E2F3, CACYBP, and PRPF3. Each is linked with SETDB1 in more than 6 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 E2F3 in BRCA, with a Pearson correlation of 0.45.

protein abundance associated genes 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 gene	X-score	Y-score	p(X)	p(Y)	Sampling consensus	Lineage consensus
BRCA	E2F3 →	+0.832	+0.293	<.001	<.001	3	7
LSCC	CACYBP →	+0.797	+0.283	<.001	<.001	3	7
BRCA	PRPF3 →	+0.686	+0.262	<.001	<.001	3	7
HNSC	HEATR1 →	+0.656	+0.229	<.001	<.001	3	7
OV	BHLHE40 →	-1.309	-0.245	<.001	<.001	3	7
UCEC	URB2 →	+0.763	+0.253	<.001	<.001	3	7

Each partner links to its Q-omics profile. Showing the 6 strongest of 15,388 associations by consensus.

SETDB1 vs E2F3 — BRCA

Explore this scatter interactively →