Across TCGA patient cohorts, CYP4X1 mutation is significantly associated with the total protein of many other genes, with 23 significant associations in total. SKCM shows the largest number of these associations.

The most reproducible CYP4X1-associated genes across cancer lineages are PRDX1, eIF4E, and GAPDH. Each is linked with CYP4X1 in more than 1 cancer types. Because this analysis shows association rather than direction, both CYP4X1-to-partner and partner-to-CYP4X1 results are reported.

Each partner links to its own Q-omics profile.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (CYP4X1→partner) and Y-score (partner→CYP4X1) 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
SKCM	PRDX1 →	+0.223	+1.700	.011	.038	3	2
SKCM	eIF4E →	+0.123	+2.700	.019	.005	3	1
SKCM	GAPDH →	+0.428	+1.662	.014	.009	3	1
SKCM	MAPK_pT202_Y204 →	+0.312	+1.700	.018	.038	3	1
SKCM	Myosin-IIa →	+0.169	+1.599	.041	.019	3	1
SKCM	p38-MAPK_pT180_Y182 →	+0.235	+1.601	.023	.038	3	1

Each partner links to its Q-omics profile. Showing the 6 strongest of 23 associations by consensus.

Exploration

CYP4X1 survival (RNA) · tumor vs normal (RNA) · all CYP4X1 data types