EPHB1

Across TCGA cell cohorts, EPHB1 RNA expression is significantly associated with the go_rna of many other GO terms, with 2,691 significant associations in total. SOFT_TISSUE shows the largest number of these associations.

The most reproducible EPHB1-associated GO terms across cancer lineages are Skeletal muscle satellite cell activation, Negative regulation of skeletal muscle cell proliferation, and Negative regulation of skeletal muscle satellite cell proliferation. Each is linked with EPHB1 in more than 17 cancer types. Because this analysis shows association rather than direction, both EPHB1-to-partner and partner-to-EPHB1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Skeletal muscle satellite cell activation grouped by EPHB1-low versus EPHB1-high in LUNG_SCLC.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (EPHB1→partner) and Y-score (partner→EPHB1) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.

Lineage	Partner GO term	X-score	Y-score	p(X)	p(Y)	Sampling consensus	Lineage consensus
LUNG_SCLC	Skeletal muscle satellite cell activation →	+1.312	+2.564	<.001	<.001	3	18
SOFT_TISSUE	Negative regulation of skeletal muscle cell proliferation →	-0.201	-1.098	<.001	<.001	3	10
SOFT_TISSUE	Negative regulation of skeletal muscle satellite cell proliferation →	-0.201	-1.098	<.001	<.001	3	10
BLOOD_Leukemia	Negative regulation of satellite cell differentiation →	-0.215	-1.323	<.001	<.001	3	10
CNS	PML body organization →	+0.099	+0.879	.002	<.001	3	9
SOFT_TISSUE	Protein-containing complex remodeling →	-0.126	-0.717	<.001	.006	3	9

Each partner links to its Q-omics profile. Showing the 6 strongest of 2,691 associations by consensus.

Skeletal muscle satellite cell activation by EPHB1 expression — LUNG_SCLC

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