Negative regulation of ERK1 and ERK2 cascade

Across TCGA cell cohorts, RNA activity of the Negative regulation of ERK1 and ERK2 cascade pathway is significantly associated with the RNA expression of multiple genes, with the BLOOD_Leukemia cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are NFIX, ZSWIM5, and SLC25A42, each associated with the pathway in up to 7 cancer types. Since the analysis shows associations rather than directional relationships, both pathway-to-partner and partner-to-pathway views are reported.

Each partner is linked to its corresponding Q-omics profile. The scatter plot shows the strongest association, Negative regulation of ERK1 and ERK2 cascade activity versus NFIX in BLOOD_Leukemia (Pearson r = -0.45).

Pathway-associated genes by consensus

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

Lineage	Partner gene	X-score	Y-score	p(X)	p(Y)	Sampling consensus	Lineage consensus
BLOOD_Leukemia	NFIX →	-1.867	-0.203	<.001	.001	3	7
BLOOD_Lymphoma	ZSWIM5 →	-0.770	-0.405	.009	<.001	3	5
BLOOD_Myeloma	SLC25A42 →	+1.138	+0.352	.003	.001	3	5
CNS	SCARB1 →	-1.048	-0.182	.008	.006	3	5
BLOOD_Lymphoma	SYNE2 →	+1.677	+0.361	<.001	<.001	3	5
BLOOD_Lymphoma	KBTBD8 →	+1.474	+0.317	<.001	<.001	3	4

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

GO:0070373 vs NFIX — BLOOD_Leukemia

Explore this scatter interactively →