NK T cell differentiation

Across TCGA cell cohorts, RNA activity of the NK T cell differentiation 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 KPNA3, SEC23IP, and PIK3C2A, each associated with the pathway in up to 2 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, NK T cell differentiation activity versus KPNA3 in BLOOD_Leukemia (Pearson r = -0.89).

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	KPNA3 →	-0.729	-0.745	.009	.006	2	1
BLOOD_Leukemia	SEC23IP →	-0.830	-0.745	.003	.006	2	1
BLOOD_Leukemia	PIK3C2A →	-0.400	-0.745	.007	.006	2	1
BLOOD_Leukemia	NOL10 →	-1.153	-0.745	.005	.006	2	1
BLOOD_Leukemia	SLC35D1 →	+0.975	+0.821	<.001	.006	1	2
BLOOD_Leukemia	AGMAT →	-2.230	-0.745	.001	.006	2	1

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

GO:0001865 vs KPNA3 — BLOOD_Leukemia

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