PF4V1

Across TCGA cell cohorts, PF4V1 RNA expression is significantly associated with the go_rna of many other GO terms, with 181 significant associations in total. SOFT_TISSUE shows the largest number of these associations.

The most reproducible PF4V1-associated GO terms across cancer lineages are Negative regulation of MHC class II biosynthetic process, Regulation of triglyceride metabolic process, and Hepatocyte growth factor receptor signaling pathway. Each is linked with PF4V1 in more than 3 cancer types. Because this analysis shows association rather than direction, both PF4V1-to-partner and partner-to-PF4V1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Negative regulation of MHC class II biosynthetic process grouped by PF4V1-low versus PF4V1-high in SOFT_TISSUE.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (PF4V1→partner) and Y-score (partner→PF4V1) 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
SOFT_TISSUE	Negative regulation of MHC class II biosynthetic process →	-0.183	-0.247	<.001	.002	3	4
SOFT_TISSUE	Regulation of triglyceride metabolic process →	+0.068	+0.344	<.001	.002	3	4
SOFT_TISSUE	Hepatocyte growth factor receptor signaling pathway →	+0.140	+0.354	<.001	.003	3	3
SOFT_TISSUE	Fat cell proliferation →	+0.192	+0.256	.007	.001	3	3
SOFT_TISSUE	Regulation of endothelial cell chemotaxis →	+0.088	+0.357	.005	.003	3	3
SOFT_TISSUE	Peptidyl-threonine dephosphorylation →	+0.082	+0.333	.001	.004	3	3

Each partner links to its Q-omics profile. Showing the 6 strongest of 181 associations by consensus.

Negative regulation of MHC class II biosynthetic process by PF4V1 expression — SOFT_TISSUE

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