Megakaryocyte differentiation

Across TCGA cell cohorts, RNA activity of the Megakaryocyte differentiation pathway is significantly associated with the RNA expression of multiple genes, with the BLOOD_Lymphoma cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are FLNA, GGA2, and SGSM2, 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, Megakaryocyte differentiation activity versus FLNA in BLOOD_Lymphoma (Pearson r = 0.47).

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_Lymphoma	FLNA →	+1.454	+0.554	.002	.005	3	7
SOFT_TISSUE	GGA2 →	-1.436	-0.138	<.001	.002	3	6
SKIN	SGSM2 →	-0.896	-0.131	.005	.008	3	4
UPPER_AERODIGESTIVE_TRACT	OGA →	+0.808	+1.025	.003	.008	3	4
SOFT_TISSUE	ITGB1 →	+1.471	+0.163	<.001	<.001	3	4
SOFT_TISSUE	CDC25A →	-1.585	-0.137	<.001	.003	3	4

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

GO:0030219 vs FLNA — BLOOD_Lymphoma

Explore this scatter interactively →