"Regulation of CD4-positive, CD25-positive, alpha-beta regulatory T cell differentiation"

Across TCGA cell cohorts, RNA activity of the "Regulation of CD4-positive, CD25-positive, alpha-beta regulatory T cell differentiation" pathway is significantly associated with the shRNA dependency of multiple genes, with the BLOOD_Myeloma cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are SYT3, PPP5C, and BICDL1, each associated with the pathway in up to 4 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 box plot shows the strongest association, SYT3 grouped by "Regulation of CD4-positive, CD25-positive, alpha-beta regulatory T cell differentiation"-low versus -high activity in BLOOD_Myeloma.

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_Myeloma	SYT3 →	-0.185	-1.689	.002	.002	3	4
LUNG_NSCLC_LUAD	PPP5C →	+0.156	+0.908	.002	.001	3	3
LUNG_NSCLC_LUAD	BICDL1 →	-0.174	-1.000	.001	<.001	3	3
LUNG_NSCLC_LUAD	TSPYL5 →	-0.184	-1.150	.001	.002	3	3
OVARY	CALY →	+0.223	+1.010	.007	.005	3	3
OVARY	THBS3 →	-0.186	-0.902	.007	.005	3	3

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

SYT3 by "Regulation of CD4-positive, CD25-positive, alpha-beta regulatory T cell differentiation" activity — BLOOD_Myeloma

Explore this box plot interactively →