HSD17B2

RNA expression — cross-omics
Cross-omicsRNA → FUNCTION-RNACell-linePairwise association · TCGA cohorts

Across TCGA cell cohorts, HSD17B2 RNA expression is significantly associated with the go_rna of many other GO terms, with 2,839 significant associations in total. UPPER_AERODIGESTIVE_TRACT shows the largest number of these associations.

The most reproducible HSD17B2-associated GO terms across cancer lineages are Neuroendocrine cell differentiation, Regulation of tolerance induction dependent upon immune response, and Regulation of potassium ion import. Each is linked with HSD17B2 in more than 8 cancer types. Because this analysis shows association rather than direction, both HSD17B2-to-partner and partner-to-HSD17B2 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Neuroendocrine cell differentiation grouped by HSD17B2-low versus HSD17B2-high in SOFT_TISSUE.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (HSD17B2→partner) and Y-score (partner→HSD17B2) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.
LineagePartner GO termX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
SOFT_TISSUENeuroendocrine cell differentiation →-0.225-0.774.001.00938
STOMACHRegulation of tolerance induction dependent upon immune response →+1.137+3.266.004.00129
STOMACHRegulation of potassium ion import →+0.202+2.328<.001<.00137
KIDNEYEndosome organization →+0.069+0.734.002.00236
STOMACHPositive regulation of sodium ion transmembrane transport →+0.297+3.762<.001<.00136
LIVERRegulation of cytotoxic T cell degranulation →+1.882+2.652<.001.00736
Each partner links to its Q-omics profile. Showing the 6 strongest of 2,839 associations by consensus.

Neuroendocrine cell differentiation by HSD17B2 expression — SOFT_TISSUE

Box plot of Neuroendocrine cell differentiation in HSD17B2-low vs HSD17B2-high samples in SOFT_TISSUE.

Explore this box plot interactively →

Exploration