PPATP2

Across TCGA patient cohorts, PPATP2 RNA expression is significantly associated with the go_rna of many other GO terms, with 4,140 significant associations in total. STAD shows the largest number of these associations.

The most reproducible PPATP2-associated GO terms across cancer lineages are Ubiquitin-dependent protein catabolic process via the C-end degron rule pathway, Protein palmitoylation, and Negative regulation of cellular response to hypoxia. Each is linked with PPATP2 in more than 3 cancer types. Because this analysis shows association rather than direction, both PPATP2-to-partner and partner-to-PPATP2 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Ubiquitin-dependent protein catabolic process via the C-end degron rule pathway grouped by PPATP2-low versus PPATP2-high in KIRC.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (PPATP2→partner) and Y-score (partner→PPATP2) 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
KIRC	Ubiquitin-dependent protein catabolic process via the C-end degron rule pathway →	+0.073	+0.007	<.001	.003	3	3
STAD	Protein palmitoylation →	+0.062	+0.027	<.001	<.001	3	3
STAD	Negative regulation of cellular response to hypoxia →	+0.065	+0.040	<.001	<.001	3	3
STAD	Regulation of intrinsic apoptotic signaling pathway by p53 class mediator →	+0.067	+0.040	<.001	.002	3	3
KIRC	Regulation of endoplasmic reticulum tubular network organization →	+0.068	+0.008	<.001	.003	3	3
STAD	Hematopoietic progenitor cell differentiation →	+0.057	+0.031	<.001	.002	3	3

Each partner links to its Q-omics profile. Showing the 6 strongest of 4,140 associations by consensus.

Ubiquitin-dependent protein catabolic process via the C-end degron rule pathway by PPATP2 expression — KIRC

Explore this box plot interactively →