Regulation of hyaluronan biosynthetic process

pathway activity — cross-omics
GO:1900125Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Regulation of hyaluronan biosynthetic process pathway is significantly associated with the RNA expression of multiple genes, with the GBM cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are REPS2, ARHGAP44, and SMPD3, each associated with the pathway in up to 4 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, Regulation of hyaluronan biosynthetic process activity versus REPS2 in GBM (Pearson r = 0.22).

Pathway-associated genes 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.
LineagePartner geneX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
GBMREPS2 →+0.768+0.658.001.00434
GBMARHGAP44 →+0.551+0.795.001<.00134
PDACSMPD3 →+1.103+0.786<.001<.00134
PDACIDNK →+0.288+0.575<.001.00134
UCECYEATS2 →-0.552-0.227<.001.00934
LUADUSP21P1 →+0.061+0.623<.001<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:1900125 vs REPS2 — GBM

Per-sample scatter of Regulation of hyaluronan biosynthetic process activity vs REPS2 in GBM.

Explore this scatter interactively →

Exploration