Negative regulation of respiratory burst involved in inflammatory response

pathway activity — cross-omics
GO:0060266Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Negative regulation of respiratory burst involved in inflammatory response 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 GLYATL1P4, ALAS2, and PHC2-AS1, each associated with the pathway in up to 3 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, Negative regulation of respiratory burst involved in inflammatory response activity versus GLYATL1P4 in GBM (Pearson r = 0.31).

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
GBMGLYATL1P4 →+0.083+0.074.003.00233
UCECALAS2 →-0.409-0.042.005.00933
HNSCPHC2-AS1 →+0.978+0.054.003.00432
HNSCMIR5690 →-1.953-0.060.001<.00132
GBMARHGEF7 →-0.617-0.099.004.00432
GBMDPH1 →-0.318-0.084.003.00232
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0060266 vs GLYATL1P4 — GBM

Per-sample scatter of Negative regulation of respiratory burst involved in inflammatory response activity vs GLYATL1P4 in GBM.

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Exploration