Negative regulation of erythrocyte differentiation

Across TCGA patient cohorts, RNA activity of the Negative regulation of erythrocyte differentiation pathway is significantly associated with the protein abundance of multiple proteins, with the GBM cohort showing a particularly strong set of associations.

The most reproducible pathway-associated proteins across cancer lineages are ARHGAP30, ARHGEF6_S684, and GIMAP8, each associated with the pathway in up to 9 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 erythrocyte differentiation activity versus ARHGAP30 in GBM (Pearson r = 0.49).

Pathway-associated proteins 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 protein	X-score	Y-score	p(X)	p(Y)	Sampling consensus	Lineage consensus
GBM	ARHGAP30 →	+0.499	+0.096	<.001	<.001	3	9
LSCC	ARHGEF6_S684 →	+0.548	+0.060	<.001	<.001	3	8
GBM	GIMAP8 →	+0.487	+0.098	<.001	<.001	3	8
LUAD	LAT_S224 →	+0.797	+0.067	<.001	<.001	3	8
GBM	SNX6 →	+0.212	+0.086	.001	<.001	3	7
LSCC	ARHGAP25 →	+0.537	+0.080	<.001	<.001	3	7

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

GO:0045647 vs ARHGAP30 — GBM

Explore this scatter interactively →