DIP2B

Across TCGA cell cohorts, DIP2B RNA expression is significantly associated with the go_rna of many other GO terms, with 3,928 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible DIP2B-associated GO terms across cancer lineages are Oocyte growth, Positive regulation of protein acetylation, and Positive regulation of T-helper 17 cell lineage commitment. Each is linked with DIP2B in more than 13 cancer types. Because this analysis shows association rather than direction, both DIP2B-to-partner and partner-to-DIP2B results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Oocyte growth grouped by DIP2B-low versus DIP2B-high in SOFT_TISSUE.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (DIP2B→partner) and Y-score (partner→DIP2B) 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	Oocyte growth →	+0.197	+0.736	<.001	<.001	3	14
LUNG_SCLC	Positive regulation of protein acetylation →	+0.119	+0.604	<.001	<.001	3	14
OESOPHAGUS	Positive regulation of T-helper 17 cell lineage commitment →	+0.245	+0.971	.002	.002	3	14
STOMACH	Transcription elongation-coupled chromatin remodeling →	+0.090	+0.674	<.001	<.001	3	13
SOFT_TISSUE	Peptidyl-serine modification →	+0.070	+0.872	<.001	<.001	3	13
LARGE_INTESTINE	Endosomal transport →	+0.058	+0.965	<.001	<.001	3	13

Each partner links to its Q-omics profile. Showing the 6 strongest of 3,928 associations by consensus.

Oocyte growth by DIP2B expression — SOFT_TISSUE

Explore this box plot interactively →