Prostate gland growth

Across TCGA patient cohorts, RNA activity of the Prostate gland growth 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 CD163, FCER1G, and ISG20, each associated with the pathway in up to 8 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, Prostate gland growth activity versus CD163 in GBM (Pearson r = -0.17).

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	CD163 →	-1.048	-0.159	<.001	<.001	3	8
CCRCC	FCER1G →	-0.576	-0.065	.001	.002	3	8
BRCA	ISG20 →	-0.578	-0.095	<.001	<.001	3	8
BRCA	LCP2 →	-0.461	-0.115	<.001	<.001	3	8
HNSC	WIPF1 →	-0.343	-0.090	.003	.001	3	8
LSCC	FMNL1 →	-0.437	-0.077	<.001	<.001	3	8

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

GO:0060736 vs CD163 — GBM

Explore this scatter interactively →