Glycosyl compound catabolic process

pathway activity — cross-omics
GO:1901658Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Glycosyl compound catabolic 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 LILRB3, LILRA6, and CYTH4, each associated with the pathway in up to 7 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, Glycosyl compound catabolic process activity versus LILRB3 in GBM (Pearson r = 0.58).

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
GBMLILRB3 →+1.053+0.203<.001<.00137
GBMLILRA6 →+0.743+0.128<.001<.00137
UCECCYTH4 →+0.908+0.223<.001<.00137
BRCAIL21R →+0.919+0.274<.001<.00137
BRCAPLEK →+0.918+0.258<.001<.00137
GBMCD274 →+1.140+0.174<.001<.00137
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:1901658 vs LILRB3 — GBM

Per-sample scatter of Glycosyl compound catabolic process activity vs LILRB3 in GBM.

Explore this scatter interactively →

Exploration